\r\n\tAs the subject of adhesives is in constant development, this book's purpose is to get together information about adhesives science and technology, recent advances, and applications that use adhesive technology. Also, to make these contents available to engineering students, engineers, researchers, and the people interested in this topic. The book is expected to present works that aim to contribute to the development of new technologies and the use of non-traditional materials in engineering.
",isbn:"978-1-83880-670-5",printIsbn:"978-1-83880-669-9",pdfIsbn:"978-1-83880-671-2",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,isNomenclature:!1,hash:"c58b7d4c17e2a202af1dc4b906b7becb",bookSignature:"Prof. António Bastos Pereira and Dr. Alexandre Luiz Pereira",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11819.jpg",keywords:"The Technology of the Adhesives, Recent Advances, New Perspectives, Structural Adhesives Bonding, Durability of Structural Adhesives, New Applications, Repair of Composites, Bonding of Composites, Experimental Mechanics Tests, Thermal Analysis, Finite Element Method, Numerical Analysis.",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 15th 2022",dateEndSecondStepPublish:"May 13th 2022",dateEndThirdStepPublish:"July 12th 2022",dateEndFourthStepPublish:"September 30th 2022",dateEndFifthStepPublish:"November 29th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"12 days",secondStepPassed:!0,areRegistrationsClosed:!1,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Dr. António Pereira is a professor and researcher, who graduated from the University of Porto, and gained experience as an engineer working at Renault, with an h-index of 23, and more than 1500 citations for 70 papers published in SCI journals.",coeditorOneBiosketch:"An active researcher in Solid Mechanics, Dr. Alexandre Luiz Pereira holds a degree in Mathematics from the State University of Rio de Janeiro, and a degree in Mechanical Engineering from the Fluminense Federal University in Brazil.",coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"211131",title:"Prof.",name:"António",middleName:"Bastos",surname:"Pereira",slug:"antonio-pereira",fullName:"António Pereira",profilePictureURL:"https://mts.intechopen.com/storage/users/211131/images/system/211131.png",biography:"Founding shareholder and Director of Martifer Group (ca. 3500 employees) (1990-1999) - was responsible for the planning and production of about 500 steel structures and industrial equipment with a total amount exceeding 100 million euros.\nAssistant Professor at the Department of Mechanical Engineering, University of Aveiro, since 2000. Board Member and Member of the Executive Committee at the Department of Mechanical Engineering, University of Aveiro (2011 – 2015), currently Director of TEMA - Centre for Mechanical Technology and Automation.\nHis main research area has been mechanics of composite materials, with particular emphasis on delamination fracture mechanics. He has published 44 papers in SCI journals and has delivered 30 presentations at international conferences. His h-index at scopus is 16 with more than 770 citations.",institutionString:"University of Aveiro",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}}],coeditorOne:{id:"452095",title:"Dr.",name:"Alexandre Luiz",middleName:null,surname:"Pereira",slug:"alexandre-luiz-pereira",fullName:"Alexandre Luiz Pereira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003LeECuQAN/Profile_Picture_1642158596909",biography:"Alexandre Luiz Pereira is Ph.D. in Mechanical Engineering and Materials Technology. During the period of the Ph.D., he did a Postgraduate Internship at the Department of Mechanical Engineering at the University of Aveiro/Portugal (UA). Since 2014 he has been a professor and researcher at the Federal Center of Technological Education in Rio de Janeiro (CEFET/RJ). 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\n
1. Introduction
\n
With the general term “Optical Fibers” it is quite common to refer to a specific type of fibers, in particular Glass Optical Fibers (GOF), that can then be divided into several categories depending on the type of applications they are needed for (communications, sensing, lasing, etc.); but optical fibers are not only glass-based: a wide variety of Polymer-based Optical Fibers (POF), that can be mainly classified based on the specific material and the index profile, exists, for several applications.
\n
Figure 1.
Overview of the different types of POF available.
\n
Two major classes of POF can be identified: Step-Index POF with large core and Graded-Index POF. It is quite common to identify the first type of fiber as POF and the second one as PF-POF (made of perfluorinated material) or GI-POF, however in the following, for sake of clarity, PMMA-SI-POF will be used to address large core step index fibers made of PMMA material. Some other variants exist but are not commonly used, so we will not address them in this chapter.
\n
The use of polymers instead of glass gives certain advantages in terms of mechanical robustness and installation in hostile environments (such as in presence of water or high humidity), so many studies are still in progress to reduce the transmission performance penalty that POF pay with respect to GOF. Since the behavior of the best performing GI-POF are getting very similar to multi-mode GOF, purpose of this chapter is to focus only on PMMA-SI-POF.
\n
This chapter is organized as follows: first, we will give an overview on the fiber itself, describing the material, the production process, the main characteristic; secondly, we will describe components and tools for PMMA-SI-POF handling and using; then, we will analyze their adoption for communication systems and sensing applications.
\n
\n
\n
2. Basics of PMMA-SI-POF
\n
The most widely available PMMA-SI-POF has a core diameter of 980 µm and a global (core plus cladding) diameter of 1mm, while a variant with a diameter of 500µm is gaining interest; however, only the first type of fiber is standardized [1].
\n
The success of 1mm fiber is due to the wide range of applications (Hi-Fi, car infotainment systems, video-surveillance, home networking) and to the interesting mechanical characteristics with respect to GOF. In particular, we can highlight the following main advantages that this type of POF has with respect to other fibers (we will not discuss about all the intrinsic advantages of optical propagation compared with electrical communications, that are maintained moving from GOF to POF):
\n
High mechanical resilience: the flexibility of the plastic material allows rough handling of the fiber, such as severe bending and stressing, without causing permanent damages. This enables brownfield installation (for example in existing power ducts, being an electrical insulator), also thanks to the 2,2 mm diameter of conventional PMMA-SI-POF simplex cable;
High mechanical tolerances: the 980 µm core and the 0,5 numerical aperture allow a certain aligning mismatch in connection processes with transmitter and receivers of among fiber spools. This tolerance avoids the use of expensive precision tools for connectorization. Moreover, dust on the fiber ends is less compromising than with small-core fibers;
Low bending losses: the core diameter also allows a certain bending tolerance. It has been demonstrated [2] that more than 20 bends at 90° with a radius of 14 mm are requested to cause a loss over 5dB for a 1 Gbps transmission system, even if standards foresee 0,5dB for every bend with a bending radius of 25 mm;
Easy tooling: fiber cut can be made via conventional scissors, and polishing via sand paper, however very simple tools that avoid polishing after cutting exist. Connectorization is fast and easy via crimping or spin connectors, while also connector-less connection via clamping is foreseen in recent transceivers;
Use of visible sources: the PMMA material works efficiently in the visible wavelength, namely red, green and blue (650 nm, 520 nm and 480 nm respectively). This actually helps unskilled personnel to have a preliminary evaluation of the good functioning of the components (you can actually see the light);
Ease of installation: the previous characteristics result in a certain ease of installation for unskilled personnel and users, then yielding a consistent reduction in installation time and cost;
Water resistance: PMMA is also very resistant towards water and salted water. This makes POF suitable for marine applications.
\n
These advantages are reflected in 500 µm PMMA-SI-POF, with the obvious note that alignment tolerances are lower.
\n
In turn, PMMA-SI-POF suffer of high attenuation and low bandwidth; while the attenuation is due to the material, the bandwidth limitations are due to the size of the core and the index profile: in 1 mm PMMA-SI-POF around 1 million modes are propagating in the operational wavelengths.
\n
Figure 2.
PMMA-SI-POF dimensions and index profile
\n
We can then summarize that PMMA-SI-POF are not to be considered as competitors to GOF, but are rather competitors to copper, with the advantage of being a suitable medium for hostile environments. In Figure 3 it is possible to see a comparison among standard UTP Cat. 5e cable and a PMMA-SI-POF duplex cable.
\n
Figure 3.
Comparison among a standard UTP Cat.5e copper cable and a PMMA-SI-POF duplex cable. POF cable is smaller and can easily replace copper cable.
\n
\n
2.1. Materials and production processes
\n
\n
2.1.1. Core materials
\n
The most common material for POF is PolyMethylMethAcrylate (PMMA), also known as Plexyglas; it’s refractive index is 1,492 and its glass transition temperature is around 105°C. PMMA based POF usually work with visible light (red, green and blue), however the attenuation can be very high (up to 200dB/Km for commercial fibers). Other materials have been investigates: Polystyrene (PS) has an higher refractive index than PMMA (1,59) but its attenuation performances are not expected to be better, so currently no mass production employing this polymer exists; Polycarbonate (PC) has a refractive index of 1,58, is interesting for special applications thanks to its high glass transition temperature (150°C) but its very high attenuation makes it not suitable for telecom/datacom applications.
The other main materials for POF are Fluorinated Polymers; they can also be used for the core, since their performances are very interesting in terms of attenuation: in theory it could be comparable with the one achieved for glass fibers, and the refractive index is in the order of 1,42;to date, the best results have been achieved with CYTOP polymer, working at 850 nm and 1300 nm and used for GI-POF. However, from the point of view of PMMA-SI-POF, PF polymers are adopted as cladding materials.
\n
Figure 5.
CYTOP momomer
\n
PMMA can be used as cladding material when the core is made with PC.
\n
\n
\n
2.1.3. Manufacturing by fiber drawing
\n
The most well-known method for fiber productions is drawing from a preform, with a proper drawing tower; this method is used for mass production of glass fibers and can be easily adapted to polymer fibers.
\n
A cylinder of polymer (the preform), having the very same structure and refractive indices difference of the fiber we want to draw has to be prepared, usually with an extrusion process; this cylinder has dimensions orders of magnitude bigger compared to the fiber it is meant to generate. The preform is then mounted on top of the drawing tower and heated through a specific furnace to a temperature that makes the polymer starts to soften, so that it becomes possible to reduce its diameter via controlled traction by a take-up winding drum. During the process, the diameter is controlled and it is eventually possible to deposit the coating (however this operation can also be performed in a subsequent phase).
\n
Some variants of the process foresee the preform to be suitable for core drawing only, with the cladding applied subsequently via extrusion.
\n
This way, the length of the fiber that can be obtained is limited by the dimension of the original preform.
\n
With respect to GOF drawing towers, due to the lower melting temperature of polymer with respect to glass, POF towers are lower and also the ovens have a lower working temperature. Also the drawing speed is significantly lower, being in the order of 0,5 m/s while for GOF the conventional production speed overcomes 10 m/s.
\n
Figure 6.
Fiber drawing.
\n
\n
\n
2.1.4. Manufacturing by extrusion
\n
Producing the fiber by extrusion requires the whole process to start from the monomer, that by means of a distillation process is inserted into a proper reactor together with the initiator and the polymerization controller. Once the process is concluded (at a temperature of about 150°C), the polymer is pushed through a nozzle by pressurized nitrogen injections, in order to control the diameter, and the cladding is applied (the cladding is extruded at around 200°C).
\n
The extrusion is quite simple for PMMA-SI-POF, and is the most promising manufacturing process since it is quite cheap and allows continuous production starting from the monomer, thus enabling mass-production.
\n
\n
\n
\n
2.2. PMMASI-POF characteristics
\n
\n
2.2.1. Attenuation
\n
Attenuation is a very important factor in determining the maximum length of a fiber link, and depends on the material properties and the transmission wavelength. The PMMA attenuation spectrum is depicted in Figure 7. It can be seen that, as happens with glass, three transmission windows can be clearly identified, even if with very different attenuation values: around 500 nm, 570 nm and 650 nm, starting from at least 80dB/Km; being in the visible wavelength interval, these windows can be associated to colors, respectively blue-green, yellow and red.
\n
Figure 7.
PMMA attenuation spectrum. Different windows can be identified.
\n
The availability of components and the shape of the windows actually suggests to identify the transmission windows as follows: blue (480 nm), green (520 nm) and red (650 nm). Green and blue windows are characterized by the lowest attenuation, in the order of 80dB/Km (together with yellow, in which the attenuation is even lower but there is lack of components, and thus this window will be neglected in the following of this chapter), while in red the attenuation is nearly doubled but where there is a significantly higher availability of components at higher speeds. It has to be mentioned that standards [1] use to define the attenuations as reported in Table 1 for PMMA-SI-POF dubbed of category A4a.2.
\n
\n
\n
\n \n
\n
\n Wavelength (nm)\n
\n
\n Attenuation (dB/Km)\n
\n
\n \n
\n
500
\n
<110
\n
\n
\n
650
\n
<180
\n
\n
Table 1.
Attenuation of PMMA-SI-POF according to IEC 60793-2-40 A4a.2
\n
It is then evident that, when dealing with PMMA-POF, transmission length is limited to a few tens or a few hundred meters, depending on the baud-rate.
\n
Given the attenuation of the fiber and the fact that home/office networking is one of the most interesting market for data-communications over PMMA-POF, bending loss becomes a parameter of paramount importance when dimensioning and then installing the system. As previously mentioned, standards foresee 0,5dB for a bend with a radius of 25 mm, but better results have been achieved; Figure 8 shows measured value of extra-losses for 360° bends, when the modal equilibrium is reached.
\n
It can then be said that 0,5dB of extra-loss has to be considered for each 10 mm bend, while there is virtually no extra-loss to be considered when the bending radius exceeds 25 mm.
\n
Figure 8.
Extra attenuation vs. bending radius
\n
As briefly mentioned, the modal equilibrium condition is important while measuring attenuation: due the multimodality of the fiber, the launching conditions are important especially for short lengths. In order to avoid having length-dependent attenuation measurements (after a certain length the Equilibrium Mode Distribution EMD is naturally obtained), usually two methods are adopted: differential measurement with consistent fiber lengths or the insertion of a mode scrambler at the transmitter side. An example of mode scrambler is reported in Figure 9.
\n
Figure 9.
Mode scrambler. Two cylinders with a radius of 21 mm are separated by 3 mm. The fiber is wounded in a 8-shape 10 times around those cylinders. The total attenuation of such an arrangement is about 10dB.
\n
\n
\n
2.2.2. Bandwidth
\n
PMMA-SI-POF are highly multi-modal (in the order of 1 million modes), and in the wavelength regime we consider, for what concerns bandwidth performances, multi-modality is by far the most limiting factor, while chromatic dispersion becomes negligible. It is not target of this chapter to perform a deep theoretical analyses of bandwidth in POF, then we will now focus only on experimental measurements, pointing out the fact that, as GOF, POF have a low-pass characteristic that can be approximated with a Gaussian curve.
\n
A bandwidth measurement technique has not yet been defined in any standard; in literature, we can find results exploiting the following methods:
\n
Frequency-domain direct spectral measurement with network analyzers;
Time-domain measurement with narrow pulse generation;
Optical Time Domain Reflectometry (OTDR).
\n
The most comprehensive results available in literature [3] have been obtained with method 1, while results obtained with the other methods are usually a lot more limited in the length of the link [4], [5].
\n
Frequency-domain measurement setup is quite simple: an electrical network analyzer drives an high-speed laser source connected to the fiber under test, then an high-bandwidth optical receiver closes the loop into the network analyzer, so that a direct bandwidth measurement can be performed. The results shown in Figure 10 are referred to a fiber with a declared NA=0,46. It is evident how POF systems can also be bandwidth limited, since we range from 30 MHz for 100 m of fiber to 9 MHz for 400 m of fiber. Also in this case it is useful to reach the EMD condition to avoid measurement being affected by launching conditions, such as transmitter numerical aperture.
\n
Figure 10.
Electrical-to-electrical PMMA-SI-POF response for different link lengths with indication of 3dB bandwidth. Courtesy of the authors of [3].
\n
It is not purpose of this chapter do go into deep analysis of the theoretical aspects of fibers bandwidth, and we suggest to refer to [6] if interested.
\n
\n
\n
2.2.3. Handling, tooling and connectorization
\n
The big advantage of 1 mm POF are due to their easy handling: this does not require expensive equipment and allows do-it-yourself installation; in particular:
\n
PMMA-SI-POF is robust and flexible, with good bending properties, and thus suitable for careless handling;
its core dimension and numerical aperture allow certain mechanical tolerances and low sensitivity to contaminations;
connectorization is easy, requiring simple tools (such as even conventional scissors) and, taken to the extreme, also allows connector-less contact.
\n
Workmanlike connectorization of PMMA-SI-POF foresees the following steps:
\n
cutting and stripping the fiber with a proper tool, such as in Figure 11;
inserting the fiber into the chosen connector (different types of connectors can be seen in Figure 12) and locking it (the connectors are usually self-crimping or screw-type);
putting the connector into a polishing disk (Figure 13) and cleaving by moving the disk on delicate sand paper forming several times a 8-shape.
\n
Figure 11.
Cutting and stripping tools. On the left, a conventional copper cable stripper; on the right, a proper tool courtesy of Firecomms.
\n
Figure 12.
Different type of 1 mm POF connectors. ST, SMA (2 versions), V-pin. Other type of connectors exist.
\n
For such a connection, a 1 dB penalty is usually taken into account. Fusion splicing is not available with POF, so splicing is obtained facing to end-connectors into a proper in-line connector, and thus a 2 dB attenuation has to be taken into account.
\n
It is worth nothing that connectorless installation is gaining real interest since the induced penalties with respect to the previously mentioned procedure can be really negligible if the cutting is made with a certain care. If cutting and stripping is done with tools such as the ones shown in Figure 11, allowing a certain plain cut of the end face, then special transceiver housings such as the Optolock™ (by Firecomms, Figure 14) can be used, simply inserting the fiber into it and then locking.
\n
Figure 13.
Polishing disk for 1 mm POF. This disk will be moved forming several times a 8-shape on sand paper for final cleaving.
\n
Figure 14.
Optoloc™ transceiver housing, courtesy of Firecomms.
\n
\n
\n
\n
2.3. Overview on components
\n
It is not in the scope of this chapter to present a full treatise on optical components, that would deserve a full book itself, so we suggest to consult [7] for this purpose and we will give a very general overview on what type of optical components are available for PMMA-SI-POF applications, given that the most interesting novelties of PMMA-SI-POF components are related to the optical sources only.
\n
\n
2.3.1. Sources
\n
LEDs are the most common optical source to be employed with PMMA-SI-POF. LEDs are available for all the main wavelengths (red, green and blue), and can guarantee high output power and long lifetime. Components with an output power of up to +6 dBm can be found on market, and modulation bandwidths usually are in the order of the tenth of megahertz; thus, they usually are suitable for low-speed transmissions, such as 10 Mb/s, or require complex modulation formats of equalization techniques for higher speeds. Typical linewidth of LED sources is in the order of 40 nm.
\n
A wide variety of red lasers exist, mostly developed of CD and DVD drives and laser pointers; usually, sources developed for such applications hardly meet the speed requirements for data communications but might be suitable for sensing applications. High power edge emitting lasers suitable for high-speeds exist, but not yet available in mass production or for low-cost applications. Vertical Cavity red lasers (VCSELs) are gaining interest since they can achieve interesting performances in terms of bit-rate [14], however low-cost commercial units usually have their peak wavelength at 665 nm, that remains in the red region but experiences a little attenuation penalty with respect to sources working at the optimal wavelength of 650 nm. The spectral width of VCSELs is of course very narrow, and the typical output power is in the range of -5 dBm to -2 dBm.
\n
Resonant Cavity LEDs (RC-LEDs) are gaining increasing interest for communications, since they join the robustness of LEDs with the high bandwidth provided by the resonant cavity. Commercial components work at 650 nm, with a spectral width in the order of 20 nm. Commercial RC-LED have 2 or 4 Quantum Wells (2QW or 4QW); in general 2QW sources are faster while 4QW sources are more powerful. On average, the typical bandwidth of a RC-LED source is in the order of 250 MHz, while the output power goes up to 0 dBm.
\n
For comparison purposes, in Figure 15 and 16 are reported the eye diagrams at the output of commercial low-cost VCSEL and a RC-LED when transmitting 1,1 Gb/s.
\n
Figure 15.
Gb/s transmission, eye-diagram at VCSEL output
\n
Figure 16.
Gb/s transmission, eye-diagram at RC-LED output
\n
As a summary, it is worth reminding that when needing high-speed components, such as VCSELs and RC-LEDs, then working in red wavelength is the only option.
\n
\n
\n
2.3.2. Photodiodes
\n
Typically, silicon photodiodes are used with PMMA-SI-POF. Their highest responsivity is usually around 950 nm, but their efficiency usually remains quite high also at 650 nm; some variants having their best performance at 800 nm exist. The performances decay when working at shorter wavelengths, but the lower attenuation of the fiber in green and blue.
\n
Typical photodiodes have an area of 500 µm, up to 800 µm; considering the fiber diameter of 980 µm, it is quite common to use spherical coupling lenses in the photodiode package for improving coupling efficiency.
\n
Pin structures are the most common to be found on market, but some Avalanche Photo Detectors (APD) can also be found.
\n
\n
\n
2.3.3. Passive components
\n
In the POF world there is not the same variety of passive components as in the GOF world. In particular, it can be said that only POF couplers exist off-the-shelf. The reasons for this lack of components is mainly due to the relatively low market needs. In particular, it can be said that only couplers/splitters exist off-the-shelf, mainly used for measurements setups or sensing applications. Couplers for PMMA-SI-POF are in general quite simple to be produced, mainly starting from the fiber itself: the most common structure foresees to polish two fibers, match and then glue them. It has to be mentioned that such couplers usually exhibit an excess loss in the order of 3 dB (to be added to the 3 dB due to the power splitting).
\n
It is then worth mentioning that, however filtering in the visible regime should be quite common, no filters for PMMA-SI-POF exist. At the same time, no attenuator are available, and the common way to obtain (uncontrolled) attenuation is to insert in-line connectors into a fiber link and then creating an air-gap among the two facing fibers.
\n
\n
\n
\n
\n
3. Data communications with PMMA-SI-POF
\n
Considering attenuation and bandwidth characteristics illustrated in paragraph 2.2 and the performances of the components described in paragraph 2.3, it becomes quite evident that, if we consider the speeds defined by the Ethernet standard, 10 Mb/s systems are mainly attenuation limited, while transmitting at 100 Mb/s and over suffers of severe bandwidth limitations. Communications with PMMA-SI-POF then require the adoptions of mechanisms that are not usual to the optical community but that are widely adopted for example in copper or radio communications, such as multi-level modulation schemes or equalizations. In the following we will rapidly describe the most interesting multilevel modulation formats currently adopted for PMMA-SI-POF transmission, then we will report on the architectures that in literature have demonstrated the best bit rate vs. length results, considering the data-rates defined by the Ethernet standard.
\n
\n
3.1. Amplitude modulations: binary and multilevel
\n
Amplitude modulations are the only formats reasonably applicable to PMMA-SI-POF systems, due to the unavailability of external modulators.
\n
Conventional optical communications adopt On-Off Keying (OOK), that is a binary amplitude modulation, thus transmitting one bit per symbol and that in optics can be simplified switching the source ON when transmitting symbol 1 and OFF when transmitting symbol 0. In recent years more complex modulation formats, able to transmit more bits per symbol, have gained interest also when dealing with single-mode GOF for ultra-high capacity backbone systems. When dealing with PMMA-SI-POF, also due to the absence of proper optical modulators, only direct modulation of the source power can be adopted, thus introducing Pulse Amplitude Modulation (PAM).
\n
PAM) consists in transmitting one of M possible amplitude levels (the “symbols”) in each time slot. It is a well-known technique outside the fiber optic community, while it has found so far little (if any) application in fiber transmissions. For this reason, we briefly review its basic principle and terminology.
\n
The number of levels M is set to M=2^N_bit, where N_bit is the number of transmitted bits per symbol. Being T_s the duration of a symbol, the quantity D=1/T_s is the number of transmitted symbols per second, also called baud-rate, and the resulting bit rate is B_r = N_bit*D. The only reason for choosing multilevel is that, for a given available bandwidth B_av (related to the cascade of the transmitter, channel and receiver transfer functions), the maximum data rate that can be transmitted without excessive Inter-Symbol Interference (ISI) increases with the number of levels M. As a rule of thumb, the relation:
\n
\n \n \n \n B_av > 0\n .7 D\n \n \n \n
\n
should be satisfied to have acceptable ISI level (the constant 0.7 comes from the SDH standard; it can vary a little depending on filter types, without qualitatively affecting the following considerations nevertheless). Thus, for the same available bandwidth B_av, the resulting maximum bit rate increases with N_bit following the relation:
When adopting OOK, this means that for example 70 MHz are required for a line-rate of 100 Mb/s, while for multilevel modulations with the same bandwidth 100 Mbaud can be transmitted.
\n
The use of multilevel transmission is very interesting for any bandwidth-limited system. On the other side, the drawbacks are:
\n
for a given Bit Error Rate and a given receiver noise floor, the required received power (or “receiver sensitivity”) increases with N_bit
the entire transmission channel, from the transmitter to the receiver, should be as linear as possible
the complexity of the TX-RX pair is clearly increased with respect to binary transmission.
\n
Multilevel transmission is then an appealing approach to improve the maximum bit rate without changing the optical part of the system. This key advantage has to be weighted up together with the previously mentioned drawbacks. In particular:
\n
regarding receiver sensitivity, for the same total bit rate, the penalty of multilevel compared to binary is equal to 1.76 dB for M=4, 3.93 dB for M=8 and 5.74 dB for M=16, if the receiver bandwidth is properly optimized. Without receiver bandwidth optimization, the penalty is respectively 4.77 dB, 9.03 dB and 12.04 dB. These penalties should clearly be taken into account.
Regarding POF channel linearity, the only significantly nonlinear optoelectronic device is the LED, while the POF itself and the photodiode are linear to a fairly good approximation. Multilevel POF transmitter should therefore properly compensate for potential LED nonlinearity
Regarding TX-RX electronic complexity, the cost of high-speed electronics is decreasing so much that there is a rationale to move “logical complexity” from the optical level to the electronic level, by using suitable digital signal processing (using programmable devices such as DSP and FPGA).
\n
PAM has been described in deep since it is one of the options that is being considered for the standardization of 1 Gb/s PMMA-SI-POF systems, however other multilevel formats, such adduobinary [8], [9], [10] can be of interest and easy to be introduced.
\n
Increase of performances could also be obtained using adaptive equalization; this topic is too complex to be fruitfully addressed in this chapter, so we will only mention when in literature equalization has been adopted and we suggest the reader to consult [11] for the theory of equalization.
\n
\n
\n
3.2. Best results available in literature
\n
\n
3.2.1. 10 Mb/s transmission
\n
According to the frequency response depicted in Figure 10 and the rule-of-the-thumb reported in the previous paragraph about the relationship among bandwidth and baud-rate, a conventional OOK modulation at 10 Mb/s could easily overcome, in terms of bandwidth, a distance of 400 m. In terms of attenuation, it makes sense then to use green wavelength due to the lowest attenuation it presence: the lack of fast components is not a limiting factor at this bit-rate. However, overcoming 400 m implies a power budget of over 40 dB, impossible with the best receivers available on market. Thus, we can affirm that at 10 Mb/s the system is attenuation limited.
\n
UTP to POF Ethernet media converters currently available on market usually have a maximum reach in the order 200/250 m. They are mostly obtained by using standard Ethernet chipsets and directly driving the optical source. With the same technique, analog video-surveillance systems are being produced.
\n
The best result available in literature [3] shows the possibility of transmitting 10 Mb/s over a distance of 425 Mb/s, by properly choosing the optical components (for mass production) and introducing Reed Solomon Forward Error Correction (FEC). Ethernet transport over such distances has required to correct the standard at level 1 and level 2, removing the Manchester line-coding (that doubles the line rate with respect to the bit-rate) to adopt a 8B / 10B line coding, and transforming the data stream from bursty to continuous in order to apply the FEC.
\n
Figure 17.
Eye-diagram of 10 Mb/s transmission over 400 m of PMMA-SI-POF, with one intermediate connector. Courtesy of the authors of [3].
\n
\n
\n
3.2.2. 100 Mb/s transmission
\n
Severe bandwidth limitations occur when transmitting at 100 Mb/s: from a power-budget point of view, transmitting in green could target 250 to 300 m, while over these distances the available bandwidth is well below the 20 MHz. This is then the typical case in which multilevel transmission techniques become of paramount importance. Adopting bandwidth-efficient modulation formats can allow, also in this case, the adoption of green components even giver their lack of speed with respect to red components. In fact, the best result available in literature [11] adopts a green LED with a bandwidth of 35 MHz and an average output power of +2 dBm at the transmitter side and a large area photodiode with integrated transimpedence amplifier, with a bandwidth of 26 MHz, at the receiver side, and reaches a distance of 275 m. The authors of the paper have opted for 8 levels PAM (8-PAM), and due to the linearity requirements mentioned in 2.4.1, LED non-linearity compensation has been implemented; even with these techniques, the received eye-diagram after a link in the order of 200 m resulted completely closed, showing that also equalization techniques [12] should be studied in order to recover the signal. In fact, the authors of [11] have adopted adaptive equalization (adaptive to cope with the intrinsic stochastic properties of multimodal dispersion), and the power budget has been increased with the adoption of FEC. In Figure 18 it is shown the eye-diagram of the 8-PAM signal after 200 m of PMMA-SI-POF when LED non-linearity compensation and adaptive equalization are adopted. Moving modulation formats with even more levels would be practically unfeasible for stricter linearity requirements.
\n
It is worth mentioning that, when it is not requested to reach long distances, so that the available fiber bandwidth is bigger, it might be useful to employ red components, faster (such as VCSELs or RC-LEDs) than the ones working in green, and multilevel modulations might be avoided.
\n
Figure 18.
Received 8-PAM signal after 200 m of PMMA-SI-POF, with LED non-linearity compensation and adaptive equalization. Net data rate of 100 Mb/s. Courtesy of the authors of [11].
\n
\n
\n
3.2.3. 1 Gb/s transmission
\n
1 Gb/s transmission over PMMA-SI-POF experiences huge bandwidth limitations, and there is no other chance than using red components and strong equalization. The best results available in literature are due to the POF-PLUS European Project [13], in which it has been shown that in this case complex modulation formats do not give significant advantage with respect to OOK when already equalization is adopted. In [14] it has been shown that with a RC-LED OOK modulated and proper equalization and error correction it is possible to obtain a system overcoming 50 m (75 m with no margin have been obtained). Some little additional margin has been shown in [15] adopting duobinary modulation, a multilevel modulation that has a more complex theoretical background but an easier implementation, with the current electronic capabilities, than PAM, and is feasible with low cost components. Transmissions over 100 m have been achieved using an edge-emitting laser with an output power of +6 dBm, but such a system cannot be acceptable for practical systems since not eye-safe.
\n
A standardization process is currently going on inside the VDE/DKE initiative, for standardizing 1 Gb/s systems. Since adopting lasers at the transmitter side becomes of interest at this bit rate, then exploiting at most their linearity makes sense, and in fact a solution that adopts Discrete Multi-Tone (DMT) with PAM that adjusts the speed according to the channel performances is currently under investigation [16]: as previously mentioned, PAM vs OOK does not give significant advantages in terms of maximum distance, but in conjunction with DMT inserts in the system rate-adaption capabilities.
\n
\n
\n
\n
3.3. What about WDM over PMMA-SI-POF?
\n
Wavelength Division Multiplexing (WDM) is a very common multiplexing technique adopted for high capacity optical communications with glass fibers; it might appear as an interesting chance with POF as well, but actually it is not a practical solution [17] for high-speed or long-distance applications for the following reasons:
\n
Array Waveguides (AVG), Mach-Zehender Interferometers (MZI) or Fiber Bragg Gratings (FBG) cannot be used with multimode fibers, so dense wavelength filtering is not possible;
Red, Green and Blue (RGB) multiplexing is possible but no integrated wavelength splitter exists; experimental units with high insertion losses (5 dB), but in absence of in-line amplifiers this consistently reduces the distance.
The different performances in terms of attenuation and speed of the components in the three transmission windows would make RGB WDM systems very unbalanced.
\n
In turn, it is possible to say that RGB WDM on PMMA-SI-POF is of interest when low aggregate speeds and short distances are requested; in particular, video systems or medical applications could take advantage of such a technology.
\n
When requiring high speeds and longer distances, the parallel optics approach can be a viable solution, for example for optical interconnects applications [18].
\n
\n
\n
\n
4. Sensing with PMMA-SI-POF
\n
The peculiar characteristics of plastic optical fibers have attracted also the interest in sensing applications, and especially for measuring physical quantities in structural health monitoring [19]. Indeed, using multimode PMMA-SIPOF it is possible to realize fiber based sensing systems that balance costs and performances, since this type of fibers does not require complex machines for splicing and polishing, and makes use of simpler connectors and of visible LED sources. Although several sensing techniques have been described in the literature (and some are described in other chapters of this book), PMMA-SI-POF are best suited for the development of sensors that exploit the variation of the received light intensity with the quantity under measurement, which are the so-called intensiometric sensors, and in this paragraph we will address this technique only.
\n
Typical PMMA-SI-POF intensiometric sensors are based on the variation of: (i) the propagation loss along the fiber (either for local microbending, as for example in [20] and [21], or in distributed form, as in [22]); (ii) the light collected after a free space propagation (as in [23], [24], and [25]); (iii) the interaction through evanescent field tails (as in [26], [27] and [28]). The first two approaches are most often used to measure physical quantities like displacements, vibrations and acceleration, whereas the latter for detecting chemicals.
\n
Intensiometric sensors are conceptually very simple – hence the low cost – because their implementation in principle requires just an LED source and a receiver that acts as a power meter. They are, however, very sensitive to disturbances since any fluctuation in the received power (e.g. due to fluctuations in the source or to fiber degradations) is indistinguishable from actual changes in the quantity under measurement. This sensitivity to parasitic quantities is particularly relevant for long-term monitoring of slowly changing quantities, so in these cases proper compensation techniques using reference sensors [29], or more complex interrogation schemes with signals at different wavelengths [30], must be considered.
\n
Limiting our analysis to the sensors used to measure static or dynamic displacements (vibrations), one of the simplest intensiometric sensors can be realized by facing two fibers along a common axis as in Figure 19. The displacement is measured by exploiting the change of the received power with the separation between the two fiber tips due to the beam divergence form the transmitting fiber (Figure 19 - right). This principle of operation has also been applied in early realizations with glass fibers, but with limitations in the measurement range, unless fiber bundles are used. Despite the simplicity, such a transducer, made using standard step-index 1 mm plastic fibers, has been successfully used to develop a sensing system with working range and accuracy within the typical specifications required for long term crack monitoring in cultural heritage preservation applications [23], [29]. In this case the use of PMMA-SI-POF allowed having most of the advantages of fiber sensors, and above all the impossibility to start fires, without the usual costs and complexities, both in terms of manufacturing and deployment.
\n
Given the propagation loss in plastic optical fibers and the free space attenuation, the distance between the sensor and the interrogators is limited to some tens of meters, but this is typically enough to allow placing the electronics in a remote and safe place. Moreover, if unjacketed fibers are used, the visual impact is dramatically reduced, making the sensing system almost invisible.
\n
An example of the results obtained with sensors arranged as in Figure 19 is shown in Figure 20, where a picture of a sensor mounted across a crack and the readings for a period of 18 months are reported. The data in Figure 20-right are corrected to compensate for the environmental parasitic effects using a “null” (reference) sensor, as reported in [29]. The null sensor is a sensor identical to the others but not fixed to edges of the crack under measure. This is an approach common to most types of the sensors and is effective provided that the reference sensor is exposed to the same kind of disturbances as the measuring sensor; so for meaningful readings, particular care must be devoted to ensure that the two sensors are exposed to the same parasitic phenomena (e.g. temperature, stray light, bending, etc.). The strict correlation between seasonal temperature fluctuations and the crack opening/closing are quite evident from the reported plots.
\n
Figure 19.
Schematic representation of a POF displacement sensor working in transmission mode (left) and the received power against distance curve (right).
\n
Figure 20.
Example of practical POF displacement sensor arranged as in Figure 1 (left), and of the readings of a crack evolution for 18 months, after proper compensation with the null sensor technique as in [11] (right).
\n
A variation of the same working principle is reported in Figure 21, where the light is collected by the receiving fiber after reflection from a target. This configuration can be reduced to the previous one working in transmission mode by considering an image receiving fiber positioned at a double distance and with a lateral offset. The transducer response curve can be modified by changing the sensor geometry (e.g. fiber diameters and separation), but, in any case, it exhibits a maximum that identifies two working regions. The leftmost part of the curve, which is characterized by higher sensitivity, though in a reduced working range, can be used to measure extremely small displacements, such as in high frequency vibrations; however, it requires positioning the sensing head very close to the target. For this reason, in most cases the sensor is arranged to operate exploiting the rightmost part of the curve. This type of sensor can be used both to measure displacements and for non-contact distance measurements.
\n
Figure 21.
Schematic representation of a POF displacement sensor working in reflection mode (left) and the received power against distance curve (right).
\n
An example of the use to measure displacements is an evolution of the crack monitoring system already shown in Figure 20. Indeed, using the reflection based sensor configuration it has been possible to develop compact transducers having the fiber connections on one side only, as depicted in Figure 4. These new sensors are currently used in a monitoing network deployed inside the chapel hosting the Holy Shroud of Turin in the framework of the Guarini’s Project [31], a pilot project devoted to develop new technologies to support the restoration works after the fire that destroyed the Chapel in 1997. In this particular application the POF sensors are integrated within a wireless network to take advantages of both technologies.
\n
Figure 22.
Picture of a crack evolution POF sensor using the principle sketched in Figure 3 (left) and example of application in the Guarini Chapel to monitor a crack on a marble statue in a quite dusty environment (right) [13].
\n
The reflection-based sensor configuration is also particularly well suited for the application of a dual-wavelength compensation technique, which turned out to be much more effective than the null sensor one, though slightly more complex to implement because it requires a dichroic mirror to be inserted in the setup sketched in Figure 22[30]. In this case two signals, at two different wavelengths, are coupled inside the transmitting fiber, then the reference signal is reflected at the fiber tip by a dichroic mirror, while the other wavelength is reflected by the target. This way, the two signals share the same path, hence the same perturbations, except for the sensing region. As for the use in non-contact distance measurements, it is important to highlight that the sensor response depends also on terms that cannot be calculated through theoretical models or may change in time, such as the target reflectivity, so they require continuous characterizations and subsequent calibrations. A sensor for static non-contact distance measurements with response independent from reflectivity changes has been studied in [32], while a calibration technique particularly effective in vibration tests, including cases when the surface has non-uniform reflectivity or non-flat profile, is presented in [33]. An example of a possible application is the mapping of the vibration amplitudes of a printed circuit board under vibration tests. An example of the system setup is pictured in Figure 23.
\n
Recent developments of PMMA-SI-POF displacement sensors include the realization of a possible replacement of conventional crack gage based on sliding plates to measure crack evolutions in two dimensions [34].
\n
Figure 23.
Picture of non-contact system for the mapping of the vibration amplitudes of printed circuit boards under vibration tests using the procedure described in [15].
\n
\n
\n
5. Conclusions
\n
In this chapter we have given a general overview of the most interesting applications of optical fibers made of PolyMethylMethAcrylate material, with a core diameter of 980 µm and with Step-Index profile. We have shown that, given the fact that the communication performances are orders of magnitude lower than the ones of the more common single-mode glass fibers, PMMA-SI-POF can address interesting niche markets such as automobile entertainment, local networking, sensing, provided that some complexity is added to the electrical part of the system, while the rules of optical propagation remain unchanged with respect to more common, yet more powerful, optical fibers.
Acknowledgements
The authors of this chapter would like to thanks Stefano Straullu and Valerio Miot for their help in the editing phase, and the partners of the POF-ALL and POF-PLUS European Projects for years of fruitful joint research activities, that have provided for the state-of-the art results in communications over PMMA-SI-POF.
\n
\n \n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/43808.pdf",chapterXML:"https://mts.intechopen.com/source/xml/43808.xml",downloadPdfUrl:"/chapter/pdf-download/43808",previewPdfUrl:"/chapter/pdf-preview/43808",totalDownloads:3525,totalViews:731,totalCrossrefCites:4,totalDimensionsCites:10,totalAltmetricsMentions:0,impactScore:3,impactScorePercentile:84,impactScoreQuartile:4,hasAltmetrics:0,dateSubmitted:"May 10th 2012",dateReviewed:"August 27th 2012",datePrePublished:null,datePublished:"June 13th 2013",dateFinished:"March 19th 2013",readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/43808",risUrl:"/chapter/ris/43808",book:{id:"3360",slug:"current-developments-in-optical-fiber-technology"},signatures:"Silvio Abrate, Roberto Gaudino and Guido Perrone",authors:[{id:"29909",title:"Prof.",name:"Guido",middleName:null,surname:"Perrone",fullName:"Guido Perrone",slug:"guido-perrone",email:"guido.perrone@polito.it",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"159261",title:"Dr.Ing.",name:"Silvio",middleName:null,surname:"Abrate",fullName:"Silvio Abrate",slug:"silvio-abrate",email:"abrate@ismb.it",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Istituto Superiore Mario Boella",institutionURL:null,country:{name:"Italy"}}},{id:"166493",title:"Prof.",name:"Roberto",middleName:null,surname:"Gaudino",fullName:"Roberto Gaudino",slug:"roberto-gaudino",email:"roberto.gaudino@polito.it",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Basics of PMMA-SI-POF",level:"1"},{id:"sec_2_2",title:"2.1. Materials and production processes",level:"2"},{id:"sec_2_3",title:"2.1.1. Core materials",level:"3"},{id:"sec_3_3",title:"2.1.2. Cladding materials",level:"3"},{id:"sec_4_3",title:"2.1.3. Manufacturing by fiber drawing",level:"3"},{id:"sec_5_3",title:"2.1.4. Manufacturing by extrusion",level:"3"},{id:"sec_7_2",title:"2.2. PMMASI-POF characteristics",level:"2"},{id:"sec_7_3",title:"Table 1.",level:"3"},{id:"sec_8_3",title:"2.2.2. Bandwidth",level:"3"},{id:"sec_9_3",title:"2.2.3. Handling, tooling and connectorization",level:"3"},{id:"sec_11_2",title:"2.3. Overview on components ",level:"2"},{id:"sec_11_3",title:"2.3.1. Sources",level:"3"},{id:"sec_12_3",title:"2.3.2. Photodiodes",level:"3"},{id:"sec_13_3",title:"2.3.3. Passive components",level:"3"},{id:"sec_16",title:"3. Data communications with PMMA-SI-POF",level:"1"},{id:"sec_16_2",title:"3.1. Amplitude modulations: binary and multilevel",level:"2"},{id:"sec_17_2",title:"3.2. Best results available in literature",level:"2"},{id:"sec_17_3",title:"3.2.1. 10 Mb/s transmission",level:"3"},{id:"sec_18_3",title:"3.2.2. 100 Mb/s transmission",level:"3"},{id:"sec_19_3",title:"3.2.3. 1 Gb/s transmission",level:"3"},{id:"sec_21_2",title:"3.3. What about WDM over PMMA-SI-POF?",level:"2"},{id:"sec_23",title:"4. Sensing with PMMA-SI-POF",level:"1"},{id:"sec_24",title:"5. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'\n IEC Recommendation “Optical fibres – Part 2-40: Product specifications – Sectional specification for category A4 multimode fibres”, IEC 60793-2-40\n '},{id:"B2",body:'\n A. Nespola, S. Straullu, P. Savio, D. Zeolla, S. Abrate, D. Cardenas, J. C. Ramirez Molina, N. Campione, R. Gaudino, First demonstration of real-time LED-based Gigabit Ethernet transmission of 50 m of A4a.2 SI-POF with significant system margin. 36th European Conference and Exhibition on Optical Communication (ECOC), Turin (Italy), 19-23 September 2010, E-ISBN 978-1-4244-8534-5, DOI 10.1109/ECOC.2010.5621396\n '},{id:"B3",body:'\n D. Cardenas, A. Nespola, P. Spalla, S. Abrate, R. Gaudino, A media converter prototype for 10Mb/s Ethernet transmission over 425m of Large-Core Step-Index Polymer Optical Fiber. IEEE Journal of Lightwave Technology, vol. 24, n. 12, December 2006\n '},{id:"B4",body:'\n J. Mateo, M. A. Losada, I. Garces, J. Arrue, J. Zubia, D. Kalymnios, High NA POF dependence of bandwidth on fiber length. POF Conference 2003, Seattle (USA), Sept. 2003\n '},{id:"B5",body:'\n E. Capello, G. Perrone, R. Gaudino, POF bandwidth measurement using OTDR. POF Conference 2004, Nurnberg (Germany), Sept. 2004\n '},{id:"B6",body:'\n A. Weinart. Plastic Optical Fibers. Editions Siemens Aktiengesellschaft, ISBN 3-89578-135-5; 1999\n '},{id:"B7",body:'\n O. Ziemann, J. Krauser, P. Zamzow, W. Daum. POF Handbook 2nd Edition. Springer; 2008\n '},{id:"B8",body:'\n A. Lender, Correlative digital communication techniques. IEEE Tran. Commun. Vol. COM-12 pp 128-135, 1964\n '},{id:"B9",body:'\n J. Proakis, M. Salhei. Digital Communication. McGraw Hill; 2007 \n '},{id:"B10",body:'\n S. Abrate, S. Straullu, A. Nespola, P. Savio, D. Zeolla, R. Gaudino, J. Ramirez Molina, Duobinary modulation formats for gigabit Ethernet SI-POF transmission systems, International POF Conference, Bilbao (SPA), Sept. 2011\n '},{id:"B11",body:'\n D. Cardenas, A. Nespola, S. Camatel, S. Abrate, R. Gaudino, 100 Mb/s Ethernet transmission over 275 m of large core Step Index Polymer Optical Fiber: results from the POF-ALL European Project. IEEE Journal of Lightwave Technology, vol. 27, n. 14, July 2009\n '},{id:"B12",body:'\n H. Meyer, M. Moeneclaey, S. Fechtel, Digital communication receivers: synchronization, channel estimation and signal processing. Wiley-Interscience; 1997\n '},{id:"B13",body:'\n POF-PLUS European Project, www.ict-pof-plus.eu\n '},{id:"B14",body:'\n A. Nespola, S. Straullu, P. Savio, D. Zeolla, J. C. Ramirez Molina, S. Abrate, R. Gaudino, A new physical layer capable of record gigabit transmission over 1 mm Step Index Polymer Optical Fiber. IEEE Journal of Lightwave Technology, vol. 28, n. 20, 15 October 2010\n '},{id:"B15",body:'\n S. Straullu, A. Nespola, P. Savio, S. Abrate, R. Gaudino, Different modulation formats for Gigabit over POF. ANIC 2012, Colorado Springs (USA), June 2012\n '},{id:"B16",body:'\n KD-POF, http://www.kdpof.com/Papers_files/kdpof_demo_1Gbps.pdf\n '},{id:"B17",body:'\n O. Ziemann, L. Bartkiv, POF-WDM, the truth. POF Conference 2011, Bilbao (SPA), Sept. 2011\n '},{id:"B18",body:'\n S. Abrate, R. Gaudino, C. Zerna, B. Offenbeck, J. Vinogradov, J. Lambkin, A. Nocivelli, 10Gbps POF ribbon transmission for optical interconnects. IEEE Photonic Conference IPC 2011, Arlington (USA) Oct. 2011\n '},{id:"B19",body:'\n K. Peters, Polymer optical fiber sensors—a review, Smart Mater. Struct., vol. 20, 17 pages, 2011\n '},{id:"B20",body:'\n A. Vallan, M.L. Casalicchio, A. Penna, G. Perrone, An intensity based fiber accelerometer, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1078-1082, 2012\n '},{id:"B21",body:'\n A. Kulkarni, J. Na, Y. J. Kim, S. Baik, T. Kim, An evaluation of the optical power beam as a force sensor, Opt. Fiber Technol., vol. 15, pp. 131-135, 2009\n '},{id:"B22",body:'\n S. Liehr, P. Lenke, M. Wendt, K. Krebber, M. Seeger, E. Thiele, H. Metschies, B. Gebreselassie, J.C. Munich, Polymer optical fiber sensors for distributed strain measurement and application in structural health monitoring, IEEE Sensors Journal, vol. 9, pp. 1330-1338, 2009\n '},{id:"B23",body:'\n S. Abrate, G. Perrone, R. Gaudino, D. Perla, European Patent n. EP 1630527\n '},{id:"B24",body:'\n M. Olivero, G. Perrone, A. Vallan, S. Abrate, Plastic optical fiber displacement sensor for cracks monitoring, Key Engineering Materials, vol. 347, pp. 487-492, 2007\n '},{id:"B25",body:'\n G. Perrone, A. Vallan, A low-cost optical sensor for noncontact vibration measurements, IEEE Trans. Instr. Meas., vol. 58, pp. 1650-1656, 2009\n '},{id:"B26",body:'\n J. Vaughan, C. Woodyatt, P.J. Scully, Polymer optical coatings for moisture monitoring, European Conference on Lasers and Electro-Optics, 2007\n '},{id:"B27",body:'\n E. Angelini, S. Grassini, A. Neri, M. Parvis, G. Perrone, Plastic optic fiber sensor for cumulative measurements, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1666-1670, 2009\n '},{id:"B28",body:'\n S. Corbellini, M. Parvis, S. Grassini, L. Benussi, S. Bianco, S. Colafranceschi, D. Piccolo, Modified POF Sensor for Gaseous Hydrogen Fluoride Monitoring in the Presence of Ionizing Radiations, IEEE Trans. Instr. Meas., vol. 61, pp. 1201-1208, 2012\n '},{id:"B29",body:'\n M.L. Casalicchio, A. Penna, G. Perrone, A. Vallan, Optical fiber sensors for long- and short-term crack monitoring, IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, EESMS 2009, pp. 87-92, 2009\n '},{id:"B30",body:'\n A. Vallan, M.L. Casalicchio, M. Olivero, G. Perrone, Assessment of a dual-wavelength compensation technique for displacement sensors using plastic optical fibers, IEEE Trans. Instr. Meas., vol. 61, pp. 1377-1383, 2012\n '},{id:"B31",body:'\n M.L. Casalicchio, D. Lopreiato, A. Penna, G. Perrone, A. Vallan, D. Lopreiato, POF sensor network for monitoring the Guarini Chapel, Proc. of the POF Conference, 2011\n '},{id:"B32",body:'\n M.L. Casalicchio, A. Neri, G. Perrone, D. Tosi, A. Vallan, Non-contact low-cost fiber distance sensor with compensation of target reflectivity, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1671-1675, 2009\n '},{id:"B33",body:'\n A. Vallan, M.L. Casalicchio, G. Perrone, Displacement and acceleration measurements in vibration tests using a fiber optic sensor, IEEE Trans. Instr. Meas., vol. 59, pp. 1389-1396, 2010\n '},{id:"B34",body:'\n M.L. Casalicchio, M. Olivero, A. Penna, G. Perrone, A. Vallan, Low-cost 2D fiber-based displacement sensor, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 2078-2082, 2012\n '}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Silvio Abrate",address:null,affiliation:'
Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino - Torino, Italy
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1. Introduction
Natural fibers, whether of plant, animal or mineral origin, are widely available throughout the world. The diversity and abundance of plant fibers make them a highly renewable resource. And while some plant resources need to be preserved to ensure a sustainable global food supply, a very large quantity of plant fibers remains available. This concerns invasive plants that disrupt natural ecosystems and threaten biodiversity in the long term, as well as waste fibers. Waste fibers are mostly agricultural by-products or residues from industrial manufacturing processes. They constitute a renewable resource that amounts to millions of tons per year, of which only a small part is presently recovered.
The recycling of waste fibers is a part of an environmental strategy for sustainable waste management and implements the three Rs – reduce, reuse and recycle. It aims to reduce waste, preserve natural resources, save space for disposal and/or landfill and prevent the burning and incineration commonly applied to these waste fibers thus limiting CO2 emissions. In many cases, the voluntary incineration of waste fibers results in the production of ash which, due to its chemical properties, can be used as a binding material as an addition to the components of cement or as a substitute for it [1]. However, the ecological impact of this disposal process is quite negative. It has been observed that for some fibers, waste or not, it is possible to design innovative products with high added value. However, their recovery has a cost and requires energy and the use of other raw materials: bio-based composite materials for the automobile and other modes of transport, furniture, packaging, nanofibers, building materials [2]. However, it is the most basic building materials, i.e., bricks, blocks and tiles, that appear to be best suited to recycle natural fibers, whether short or long, intact or crushed. The incorporation of waste fibers in the manufacturing of these basic materials has little effect on the production process while improving some of the properties and eliminating the waste without additional greenhouse gas emissions. Furthermore, if the brick is unfired, as is the case with fiber-reinforced bricks or blocks made from cementitious products, it is important to minimize the use of ordinary Portland cement with a high clinker content, i.e., OPC CEM I cement. The use of cement made from industrial by-products up to low-carbon binders allows to limit or even drop the carbon footprint. And for these bricks and binders, the economic cost can be reduced by eliminating one or more waste products, fibers and industrial byproducts. This is how the concept of co-valorization was developed [3, 4], which is both economic and ecological: eliminating waste, saving natural resources and limiting the carbon footprint. The crude brick reinforced with waste fibers makes it a perfectly ecological construction element without firing and without the use of binders. It is based on the principle of eco-valorization, which is founded on the integration of the circular economy, sustainable development, the conservation and the renewability of natural resources, and ultimately the limitation of greenhouse gas emissions. This is illustrated in Figure 1. Eco-valorization is intended to be more environmentally friendly. The soft material of these crude bricks that bind the fibers most often comes from clay-loam soils, but the introduction of waste soils is preferable, such as sediments or dredged sludge.
The waste fibers that can be recycled into eco-friendly building materials are numerous and diversified. Their quantity is closely linked to the world production of agricultural plants. Some of the fibers are consumed almost entirely by livestock (food such as straw and flour) and industry (textiles such as flax), but the rest are considered as waste, such as palm oil or coconut fibers. In the last decade, there has been a disproportionate growth in the agro-industry, which has resulted in an expansion of crops and consequently the production of waste fibers, as shown in Table 1 for oil palm fibers. In the same Table 1, it can be seen that natural fibers of tropical origin alone constitute a huge potential of fibrous materials for recycling.
Production of main agricultural products as a potential natural fiber resource in Mt. [6].
subtropical and temperate climate zones.
The recycling of waste fibers into building materials implies an industrial process to use a sufficient quantity of fibers over time i.e., renewability of the resource, which is why natural tropical fibers are of great interest. To ensure and maintain a quality manufacturing process, a methodology must be followed. It can be simply illustrated as in Figure 2.
Figure 2.
A certain methodology for recycling waste natural fibers in building materials.
This chapter demonstrates the importance of natural fibers in renewable and environmentally friendly building materials and also, the availability of fibers (introduction). Section 2 discusses the variability of shape, i.e., aggregates or fibers, structure (internal and external), intrinsic properties and applications of natural fibers. Section 3 gives background information on the process of fiber extraction, processing and methodologies for determining the main characteristics of fibers useful for use in building materials. Two applications are thoroughly described, one for a fiber-reinforced mortar (Section 4) and the other for fiber-reinforced raw earth, a truly ecological material (Section 5). The chapter concludes with a discussion on the advantages and shortcomings of tropical natural fibers as reinforcement materials.
In detail and accordance with Figure 2, the identification of the resource is necessary before any action of recycling waste fibers, this is the focus of Section 2 of the chapter “natural fibers and tropical fibers”. This identification must be more complete with the knowledge of the properties of the waste fiber and its intrinsic characteristics useful for its future material recovery. These characteristics are obtained from specific tests carried out on these fibers and in particular, on natural tropical fibers such as oil palm and coconut fibers, see Section 3. The material recovery considered for these tropical waste fibers concerns the production of eco-materials for applications that are primarily local, i.e., close to the sources of waste fiber collected. A case study of a mortar based on coconut fibers is reported in Section 4. In particular, this mortar uses calcium sulfoaluminate cement with a 37% smaller carbon footprint than Portland cement. The development of mud bricks based on oil palm waste fibers incorporated into dredged river sediment is an example of a possible eco-valorization in Section 5. These two studies demonstrate that the recycling of waste fibers into building components is potentially possible and beneficial for sustainable development.
2. Natural fibers and tropical fibers
2.1 The use of natural and tropical fibers in building materials
The use of these fibers has been temporarily set aside in preference to so-called modern cementitious materials (concretes, mortars, plasters). The usage of fibers, due to their renewability and their eco-friendly nature, is raising new interest among builders because they have interesting properties for construction. A new category of fiber-based construction materials is emerging in the field of construction and restoration: these are bio-sourced materials. Natural fibers are diverse and available in large quantities, mainly from the residues of large-scale agricultural production. The most commonly used natural fibers in building materials are, whether tropical or not, are straw (wheat, rice), flax, hemp, reed, sugar cane, jute, sisal, coconut and bamboo, as listed in Table 2.
A review of physical and mechanical properties of natural fibers.
Palm oil flower and fruit are all considered.
The natural fibers considered in this chapter come from plants and trees and are therefore of plant origin. They are essentially so-called cultivated plants and trees, i.e., they are a renewable resource whatever their periodicity, annual for plants and several years for trees. These natural fibers are composed of cellulose, hemicellulose, lignin and pectin and impurities. While cellulose is the highest constituent in mass fraction for some plant fibers, it is much lower for woody plants where the lignin content increases or even exceeds the cellulose content (coconut, wood). The stem of the plant provides the main part of the plant fibers, whereas the leaves, fruits, seeds, bark and inter-fiber impurities are considered as plant aggregates.
Plant fibers are widely used as a building material. Over the centuries, long, flexible fibers have been used in their raw state as roofing material for rural habitats. These include wheat straw, rice straw, rushes and reeds, bamboo … and not included in the use of plant leaves such as palm leaves, banana leaves … But it is by combining soils and short fibers (a few centimeters) that building materials have been developed at a regional scale. They are made up of raw short fibers mixed with soils that are sometimes clayey and silty with the presence of coarse grains. These are filling materials such as cob and wooden beams; raw earth materials for the construction of load-bearing walls such as cob and prefabricated materials in the form of raw earth bricks such as adobe, see Figure 3. In recent decades, these plant fibers have given rise to investigations leading to more efficient construction materials, especially in terms of thermal insulation (plant fiber panels and blocks) and strength by reinforcing fibers in composite materials with a soil or cement matrix. Figure 4 shows these different materials, noting that rice husk is a plant aggregate.
Figure 3.
Raw plant fibers in building materials: a-roofing, b-cob and wood, c-cob wall and d-adobe bricks.
Figure 4.
Ready-to-use fiber-based insulating blocks (a-lime and hemp shiv and b-compressed coconut fibers), rice husk-based raw earth (c-rice husk) and composite mortar undergoing flexural testing (d-jute fiber [22]).
Fiber-based materials are now available in various types and shapes for construction. They are natural fibers alone, matrices of ready-to-use materials (cob), so-called efficient materials depending on the properties developed (bricks, panels, blocks), as illustrated in Figures 3 and 4.
Generally, plant fibers have intrinsic properties such as those related to their internal structure which gives them a high absorption capacity and hygroscopic properties. These properties are sometimes in conflict with the desired performance of the composite material being made, especially the strong performance. To achieve this, the fibers undergo a more or less chemical treatment to make them hydrophobic and improve their adhesion properties. Indeed, the external structure of the fibers plays a role in the adhesion of the fibers to the binding matrix (soils, hydraulic and similar binders, geopolymers, biopolymers, etc.). This treatment can take place at the time of the defibration process, i.e., the shaping of the fibers. In certain cases, it would delay the degradability of the fibers, and thus, improving the durability of the material.
2.2 The use of natural and tropical fibers in building materials
The selection and performance of building elements from among bio-based materials depend on the intrinsic characteristics of the fibers incorporated and the matrix containing them. These properties are thermal, acoustic, mechanical and hygroscopic. The hygroscopic character is related to both the fibers and the binding material (cob). The microstructure and biochemical composition of the fibers affect their properties as well as the treatment applied to them before their incorporation (destruction of the structure), see Figures 5 and 6. These fibers as mechanical reinforcement (density, length, interfacial adhesion) improve strength and performance of building materials.
Figure 5.
SEM images of a flax straw (a) and a reed fiber (b).
Figure 6.
Typical stress-strain relationships for (a) coconut raw and treated fibers (length 10 mm, speed rate test 0.5 mm/min, [20]) and for (b) flax fiber (length free of fiber 10.9 mm, speed test 1 mm/min [11]).
Plant fibers have interesting physical properties for building materials. Due to the structure observed in Figure 5, these fibers have a relatively low specific density compared to metal reinforcement fibers. This is an advantage for their use, as they can produce lightweight composite materials. The bulk density is difficult to estimate due to the nature of the fiber itself as well as the geometry of the fibers, i.e., diametral dimension, cross-sectional shape. This difficulty also affects the determination of mechanical properties. The interest in plant fibers comes from their good mechanical properties, in particular a very high tensile uniaxial strength. As noted above, the determination of the ultimate strength of a fiber depends on its geometry, morphology, test operating mode (free length of the fiber, installation, loading rate), the variety of fiber plant and the unit character of the fiber (extraction mode).
The behavior of the fibers in uniaxial tension can differ depending on the fiber structure as shown in Figure 6 where a linear behavior is observed for treated and untreated coir fibers and an elasto-visco-plastic behavior for flax fiber. The determination of the deformation modulus in the case of Figure 6b is problematic. Depending on the behavior, the moduli of deformation may correspond to either the initial or final slope or a linear fit over the whole curve. Both the modulus of elasticity and the ultimate tensile stress is expressed as a range of data for a fiber type due to the natural variability of fibers.
Table 2 gives an overview of these data ranges for density, absorption coefficient, modulus of elasticity in tension and tensile stress at failure for different natural and tropical fibers. Fibers in building materials are widely used as the main component either as a protective covering (braided, woven fibers) or as an insulating material (pressed, heat-bonded, impregnated fibers). But they are also used in smaller quantities in the composition of building materials as reinforcing material. They are then randomly mixed into a binding matrix (soils, mortars or concretes).
3. Characterization and properties of tropical natural fibers
3.1 Useful properties of natural fibers in building materials
This section includes the discussion on the physical and mechanical characteristics of natural fibers which are important for their recycling in construction materials. Water absorption of fibers has a significant influence on the strength of building composites as swelling and shrinkage of fibers with their interaction with water introduce cracks in building composites. There is also a competition between the water required for hydration in the case of cementitious matrices reinforced with natural fibers and the water absorption-desorption of the incorporated fibers. Natural fibers have a low density which makes them suitable additives in lightweight building composites. Geometrical characteristics of fibers include length, diameter, surface roughness and cross-section. Increasing fibers length has a positive impact on the tensile strength of building composites however their compressive strength decreases with long fibers. Diameter of technical fiber increases with increasing elementary fibers which increases the tensile strength of technical fibers. Alignment of elementary fibers at different microfibers angles is also important for tensile strength of fibers. Higher tensile strength of fibers increases the tensile strength and toughness of composite materials. Surface roughness of fibers is essential for bonding between matrix and fibers in composites. The pull-out strength of the fibers shows how the interfacial bonding of the fibers with the matrix behaves. Failure and sliding of fibers at different loads and depths change the resistance and failure mechanism of building composites. Life and performance of fibers decrease with time. This is rapid in an alkaline environment associated with concrete structures. Treatment of fibers improves the shelf life and resistance.
Natural plant fibers are used or recycled with or without treatment. Whatever their future use, they are subject to biochemical and physical, morphological and mechanical characterisations. The biochemical characterization concerns the evaluation of the quantities of cellulose, hemicellulose, pectin, lignin, impurities and water. The physical parameters investigated include density, dimensional aspect, geometry, microfibrillar angle and water absorption capacity. The analysis of the morphology of the fibers focuses on the microstructure, the dimensional variations (diameter, length and section). The mechanical parameters sought are most often related to the traction of the fibers (isolated or anchored in a matrix). In this section, only a few procedures (treatment) or characterization tests intended for the use or recycling of fibers in construction materials are mentioned.
3.2 Treatment of fibers
The treatment of natural fibers is part of the preparation process. It takes place at the level of defibrillation (fiber separation), removal of impurities (fiber cleaning), reduction of absorption capacity (fiber hydrophobicity) and improvement of fiber adhesion to the matrix of a composite material (surface roughness and fiber bonding). Immersion in an alkaline solution (NaOH) reveals well the cleaning of the fibers which can be observed on a bamboo fiber as well as the change in roughness for a coir fiber as shown in Figure 7. Fiber treatments with water, boiling water, water with organic solvents or acidic agents such as ethylene diamine tetra acetic acid (EDTA) are the most eco-responsible treatments [8, 10, 14, 20]. Physical treatments are to a lesser degree environmentally acceptable but energy consuming (autoclave treatment, steam explosion, plasmas, Corona technique …). But chemical treatments based on Na2S, Na2CO3, NaOH solutions pose the problem of wastewater treatment. Some other treatments include impregnation, coupling, grafting, acetylation, benzoylation, esterification, etherification, liming …. In the most applications, alkaline solutions (Figure 7) and coupling techniques are the most applied. A promising technique based on enzymatic transformations would allow a more ecological treatment. These biological treatments are naturally focused on the development of biocomposites.
Figure 7.
Aspect of treated fibers: (a) raw bamboo fiber and (b) bamboo fiber treated for 3 days in 1% NaOH solution [23]—(c) raw coir fiber and (d) coir fiber immersed for 30 minutes in a 5% NaOH solution [20].
The benefits of these treatments are hydrophobicity, modification of the external surface of the fibers for better adhesion and improvement of the durability. The geometry of the fibers changes (decrease of diameter), they lose their flexibility but the mechanical characteristics are more or less similar.
3.3 Water absorption of fibers
Natural fibers have a very high-water absorption capacity, due to their microstructure. This absorbed water poses a problem in the elaboration of fiber-reinforced composite materials with a cementitious matrix (mortar, concrete) or raw fiber earth (adobe, cob). For the former, the water in a mixture must participate in the hydration and in the raw earth, the percentage of water is necessary for the kneading and the preparation for optimal compaction. But in the drying phase, whatever the type of material, the water contained in the fibers will be extracted and the fibers will shrink with a risk of loss of adhesion between the fiber and the matrix as shown in Figure 8. This amount of water absorbed must be known when making the material-fiber mixtures and the parameter to be determined is the water absorption capacity Wa expressed in %, defined by:
Figure 8.
Behavior of a fiber at the interface of a matrix, from the mixing phase to the curing and/or drying: illustration in the case of a cementitious material [24].
The methods of water absorption determination are not always standardized. They consist of immersion in water and then measuring the mass of the fibers as a function of time. Each time the mass of the fibers is measured as a function of a time step, it is necessary to wipe them out (Figure 9). Various procedures are used such as the use of filter paper, fine synthetic fabric as a bag, tweezers or tea balls or manual wiping of the fibers. However, one protocol can be recommended for bio-based materials: RILEM TC 236-BBM (immersion and then dewatering for 15 seconds at 500 rpm, by means of the centrifuge). Some ranges of Wa values are given in Figure 9.
Figure 9.
Fabric bags and clips (a) for plant aggregates, tea baskets (b) for plant fibers, fiber bags (c) for centrifugal spinning and Wa ranges for different fibers [20, 25].
Alfa fiber
Banana
Coir
Date palm
Flax
Hemp
Jute
Hay
Kelp
Kenaf
Rice husk
Sisal
Straw
460-640
134-282
63-180
133-140
63-330
85-415
84-281
78-90
80
285
52-84
110-230
96-320
3.4 Specific gravity of fibers
The measurement of the absolute density or the material constituting the fiber is normally done using a helium pycnometer. But some authors still use the water pycnometer. The problem is that water, depending on the structure of the fiber, does not penetrate all the pores (underestimated density) and the absorption capacity of the fibers may overestimate the density. To avoid these phenomena, gas pycnometer (helium) is more realistic. Specific gravities differ from each type of fibers as reported in Table 2 from the literature.
3.5 Geometry of fibers
The dimensions useful for defining the geometric parameters of a fiber are its length and diameter. The length is measured after the fibers have been cut to length by a manual (laboratory scale) or mechanical (industrial scale) process. It can be measured directly on a number of selected fibers (manual procedure) or in a more representative way, the distribution of the fibers is analyzed from a volume or a large number of fibers. This distribution gives rise to a statistical analysis (histograms, distribution law, median length…). The measurement of the diameter is more problematic because of its microstructure (compressibility, porosity) and morphology (shape). The shape of the fibers can be circular, an ellipse, an oblong shape … depending on the type of fiber but also on the mechanical treatment: separated, crushed, shredded fiber, …. The measurement of diameters, of orthogonal axes allows to define the cross-sectional area of a fiber. But if the shape is arbitrary, the most suitable means of measurement is image analysis using a digital optical microscope associated with image processing software. From microscope images, several geometric quantities can be defined: the largest and smallest dimension (flattening coefficient), the perimeter, the area of the fiber. A more advanced exploitation allows to approach the porosity at the level of the cross-section observed. The length and the diameter of the fibers can be measured with the help of a steel rule and digital caliper respectively for diameters of the fibers as shown in Figure 10a. With these measurements, the fiber aspect ratio, i.e., ratio of the length to the diameter of the fiber can be determined and it is useful in the implementation of fiber composites materials.
Figure 10.
Dimensions measurements: fiber diameters with digital caliper [18] (a), fiber areas with digital optical microscope (b) for a bamboo fiber [26] and a coir fiber [20] (c).
Also, to determine the ultimate tensile stress at failure, it is necessary to know the fiber cross-section. Two methods are proposed depending on the type and shape of fibers. The first consists of taking two measurements using a caliper with a usual accuracy of ±0.01 mm that makes it possible to obtain the dimensions of the two axes of a disk or an ellipse (assumed cross-sections). The second method more representative of the shape of fibers, is essentially based on microscope image observation. Indeed, once the fiber is broken, an optical microscope is used to obtain an image of the cross-section. This image is then processed by computer-aided drawing software to determine the area of the fiber cross-section as shown in Figures 10b and c. This second method is applied in studies of the distribution and orientation of fibers within fiber-reinforced cementitious matrices or crude earth. Fiber counting in a cross-section of the composite material allows the counting of fibers in the cross-section but also the study of the observed shapes gives the orientation of fibers in the matrix. The measurement of fiber orientation by the image analysis technique requires the preparation of a material sample cross-section depending on the technique used according to Fu et al. [27]. The spatial position of a fiber can be defined by the two Euler angles θ and φ as shown in Figures 11a and b, where θ is the angle that the fiber makes with the normal direction 1 of a plane on which the fiber orientation will be observed. φ is the angle of the fiber projected in the 2–3 direction plane. θ is given by the inverse cosine of the ratio b/a (ellipse axes) and φ by the orientation of ellipse axis a to the 2-axis.
Figure 11.
An example of definitions and determination of the fiber orientation θ and ϕ angles according to Hine [28] and Fu et al. [27].
3.6 Tensile strength of fibers
One of the mechanical properties of interest is the ultimate tensile strength of the fibers. This strength value is useful in the development of composite materials. But knowing the tensile behavior law of a free fiber (or gauge fiber) is needed for any development of numerical modeling for these materials. This behavior law is often defined by the stress-strain relationship. It is obtained from the tensile force-displacement relationship recorded during a tensile test on a fiber. To carry out the tensile tests, it is necessary to install the fiber on specific support if the fiber flexibility is limited and becomes too brittle. If the fiber is sufficiently flexible, the fiber can be clamped directly in the jaws of the testing machine. The clamping system is mechanical (M) or pneumatic (P) as shown on Figure 12a. But usually, for short fibers, a cardboard is used to hold the fiber before testing (Figures 12b and c). To install fiber on a cardboard frame, squares or rectangles of card stock are cut and prepared with internal dimensions depending on the free length of fiber testing. The test procedure is presented in Figure 12c and is as follows: installation of fiber on cardboard, clamping the cardboard on the machine, cutting the cardboard, putting the fiber under tensile loading till failure. The data recorded concerns load versus axial displacement and mainly the ultimate tensile strength as well as the maximum elongation at failure. Usually, tensile tests are carried out on different machines using different sensors. The test is performed at various constant speed rates ranging from 0.5 mm/min to 5 mm/min. Also, the machines are equipped with different more or less accurate sensors. Tests are conducted in constant room thermo-hygrometric conditions (temperature around 20–25°C). For short fibers (total length ≤ 50 mm), the free length varies from 10 to 20 mm.
Once the test is validated (failure in the part of free fiber) the stress-strain curve is analyzed and another parameter is determined: the modulus of elasticity if the fiber has an elastic or pseudo-elastic behavior. Depending on the behavior of the fiber, a linear part exists or not. It can be defined then an initial tangent modulus Et (Figure 13a), or the modulus of deformation can be defined on the linear part just before the failure as shown in the same Figure 13a (modulus Ef). And this choice can be justified by the fact that a cyclic test can demonstrate elastic behavior as for a flax fiber, see Figure 13a. Furthermore, the determination of the ultimate stress in a fiber under traction requires the knowledge of the cross-section at the moment of rupture, although there is a constriction of the cross-section as shown in Figure 13b, for which the determination of the cross-section is made by using microscope image and image analysis software.
Figure 13.
(a) Flax fiber behavior under tension cycle [11], (b) determination of coconut fiber cross-section after a tensile strength test [20].
3.7 Pull-out resistance of fibers
The pull-out strength of the fibers in the matrices in which they are incorporated is another mechanical parameter necessary for the formulation of composite materials. In particular the shear stress at the fiber/matrix interface. It plays a major role in the case of short fibers [27]. It is also used to evaluate the critical fiber length. The critical fiber length (Lc) is the minimum length required to effectively strengthen and stiffen the material. It is defined by:
Lc=¼σtfD/τE2
where σtf is the ultimate tensile strength of the fiber, D is the fiber diameter, and τ is the interfacial shear strength at the fiber/matrix interface, see Figure 14e.
Figure 14.
(a) Crude earth specific wooden mold for pull out a test of hemp fiber, (b) crude earth sample with different hemp fibers before pull out testing, (c) pull out test of hemp fiber, (d) coir polyester composite specific mold for pull out test [30], and (e) simple mechanism of shear stress and pull-out force in the case of elementary fiber in a matrix.
The critical fiber length can be estimated using the measured fiber diameter D and the values of σtf and τ issued from experimental tests or literature. The isolated (single) fiber pull out test requires a particular molding of anchored unit fibers of length Lf as shown in Figure 14e. The unit fibers are distributed along with a cast matrix (in the case of a cementitious or polyester resin-based material, Figure 14d) or crude earth (Figures 14a and b). The samples thus produced (Figures 14c and d) are submitted to a tensile test until the fiber is pulled out (Lf < Lc) or the fiber breaks (Lf > Lc). The test machines are the same as those used for the fiber tensile tests (Section 3.6).
3.8 Some properties of natural tropical fibers
3.8.1 Useful properties of natural tropical fibers in building materials
Natural fibers from the Tropics for use in building materials are relatively abundant, as the data in Table 2 show. But among the fibers incorporated in building materials are coconut, sugarcane, sisal, palm fibers and to a lesser degree banana spine fiber. These are also the most widely investigated fibers in building materials at present. More recent interest has focused on the recycling of natural fibers considered as waste, such as oil palm fibers after the production of oil from the fruit. The characteristics of tropical fibers detailed below have been the focus of studies conducted by the authors. They are the most widely used fibers in building materials and in particular, the use of palm fibers constitutes an innovation in eco-friendly building materials.
3.8.2 Bio-physical properties of natural tropical fibers
Table 2 shows great variability in the data related to natural fibers, which is explained by the morphology and composition of each fiber, whether treated or not. Five types of tropical natural fibers were specifically investigated which are palm oil flower (POFl), palm oil fruit (POFr), coconut from the outer shell (Cn), sugar cane bagasse (Sc) and banana stem (Bs) fibers. These fibers are taken from the state of Tabasco in Mexico. Sugarcane fibers are separated into coarse (Scg) and fine (Scf) fibers for the study. Palm oil flower and fruit fibers are also separately considered even if some of their properties are closely related, see Table 3. They were not processed but extracted manually. Only the banana rachis required soaking in water and then drying of the isolated fibers.
Fibers
Density (g/cm3)
Wa (%)
K (W/mK)
Cellulose (%)
Avg. area (mm2)
POFL
1.37
235
0.058
48.84
0.070
POFR
1.36
258
0.055
37.36
0.027
Table 3.
Some bio-physical properties of palm oil flower and fruit fibers.
Note: Wa = water absorption, K = thermal conductivity, and Avg. = average.
Table 3 shows the bio-physical properties of palm oil fibers such as density, water absorption, thermal conductivity, cellulose content and area. The low density of fibers makes them a suitable additive in manufacturing lightweight building composites. Natural fibers are hydrophilic materials and higher water absorption of fibers in composite leads to micro-cracks growth in composites. Natural fibers have a low thermal conductivity which has a positive influence on the thermal behavior of building materials. Higher cellulose content of fibers contributes significantly to the tensile strength of fibers. The area of fibers is important to study the mechanical characteristics of fibers such as tensile strength. Tensile strength of fibers is heavily influenced by the area of fibers as technical fibers tested in this study are consist of the number of elementary fibers.
3.8.3 Bio-physical properties of natural tropical fibers
The five types of fibers were subjected to a tensile test. The length of the fiber chosen is 20 mm (free or gauge length) for a total length of 30 mm. The constant test speed was 0.5 mm/min at a room temperature of 22 ± 2°C and relative humidity of 40–50%. A minimum of 10 fibers were tested for each series. The minimum, average and maximum tensile strength of Mexican tropical fibers is presented in Figure 15. The tensile and strain loading curves reveal different mechanical behaviors depending on the fiber. Pseudo-elastic, visco-elastic or elasto-plastic behavior with a strain-hardening effect can be observed in Figure 16.
Figure 15.
Tensile strengths observed on typical tropical fibers from Mexico.
Figure 16.
Typical stress-strain relationships for different tropical fibers.
The tensile strength of fibers discussed in Figures 15 and 16 is one of the most important parameters for their use in bricks as fibers act as reinforcement. The higher tensile strength of fibers increases the tensile strength of building composites.
4. Application in reinforced mortars by natural fibers as cementitious material
An innovative solution to reduce the negative impact on the environment is the production of structural reinforced composites from these natural fibers. Section 4 introduced an alternative binder to improve the durability of these plant fibers in an alkaline environment of cementitious composite. CSA cement was used in coconut fiber-reinforced mortar to totally replace the traditional cement. This section is divided into 2 parts including the mechanical properties of fiber-reinforced mortar, and carbonation resistance of fiber-reinforced mortar. In each part, the comparison between unreinforced- and reinforced mortars is presented.
Among the natural fibers, coconut fiber is considered is a potential candidate for reinforcement in cement matrix due to its most ductile and energy absorbent properties compared to other plant fibers. Incorporation of natural fibers into cementitious composite could, therefore, constitute an alternative solution to waste management and contribute to the development of reinforced mortars by improving comfort performance in buildings. Besides, it is necessary to use alternative binders to improve the durability of these plant fibers into composites and reduce the negative impacts on the environment. In this section, the new formulations of mortar are proposed, in which the Portland cement is totally replaced by calcium sulfoaluminate cement (CSA cement). CSA cement, consisting of nearly 55% of calcium sulfoaluminate, could be considered as a clean, green and alternative binder due to its environmentally-friendly features [31]. Additionally, CSA cement contains a lower alkali content compared to PC, i.e., the pH ranges of CSA cement and PC are 10–11 and 12–13, respectively. As a consequence, the lower pH value of CSA cement can also lead to the less natural degradation rate of the fibers in the alkaline environment of the cementitious matrix.
4.1 Mechanical properties of fibers-reinforced mortars
The mechanical properties of fibers-reinforced mortars depend on various parameters such as intrinsic properties of fibers, fiber contents, fiber distribution, fiber orientation, interfacial transition zone (ITZ), i.e., fibers and cementitious matrix adhesion. The decrease in the compressive strength of mortars with increasing fiber content is observed. A part of the explanation is that the pectin, ash, and other impurities are included in the fiber component, inducing the reduction of the bond between fibers and cementitious matrix. Additionally, the higher air content and porosity, relative to the increase in fiber content, involve a decrease in compressive strength. The combination method of coconut fibers and CSA cement in mortar significantly increased flexural strength of mortar, up to approximately 17%, which meets the desired mechanical performance since fibers are used as reinforcement. However, at the higher content of fibers (≥3% by mass of cement), the flexural strength starts suffering a slight decrease due to much more fibers being in the restricted area of the brittle cementitious phase, which leads to the significant cumulative effects on the strength of the material. In addition, frictional energy losses considerably in the wake of pulling out of fibers due to the debonding at the interface, which is partly responsible for the failure.
Figure 17 shows the typical evolution graphs of the force applied as a function of the displacement at mid-span of the specimen for unreinforced and 2% fiber-reinforced mortars. To clarify the understanding of the different periods of crack initiation and propagation in bending, five particular points corresponding to five load steps are noticed for reinforced mortar. Point A is at the end of the non-linear elasticity period (so A is also at the first of the linear period). This point shows how the normal displacement evolves in the elastic period during the flexural test. Crack has not occurred in this step, although the load reaches 55% of the maximum load. In the next step, point B represents the displacement in the linear part of the curve and corresponds to the point where crack starts appearing at the load of 85% the maximum. It should be noted that the formation and development of cracks also depend on the characteristics of supporting (two) and loading (one) rollers of the flexural test. If one of them is capable of tilting or sliding slightly, a uniform distribution of the load over the width of the specimen is well applied. And thus, this induces the appearance of a single crack. Otherwise, multi-cracks would have occurred, and flexural behavior will be affected if all supporting rollers cannot freely rotate. Therefore, the scatter of cracks is observed on the cross-section of the sample in this case [33]. In the third step, point C corresponds to the peak of the force-displacement curve, i.e., the maximum of the flexural load. As the sample partly suddenly fails, point C′ is reached to introduce the residual force. The load reaches the maximum load, and some fibers begin pulling out from the cementitious matrix and then slip inside the mortar, as clearly shown by the drop from point C to point C′. The period from point D to point E is along the residual force step which mobilizes the shear resistance of fibers. This step describes a nearly constant load period while the bending displacement continues increasing due to the remaining fibers. The crack initiates at the base, i.e., an opposite plane to the applied load, of the sample and propagates toward the direction of loading in the wake of the appearance of the initial crack. In this stage, the contribution of fiber to preventing brittle fracture suddenly is shown clearly. Additionally, resisting fragmentation is observed as there is no spalling at the surface of the specimen due to the bridging effect of the fiber distribution. For control mortar, the bridging effect could not be observed. The sample shows a sudden drop at about 80% of the maximum applied force. The strain development of the control mortar is characterized by a non-linear elastic part followed by a nearly linear behavior before sudden failure occurs (fragile behavior). The single crack appears at the base of the samples on which it is believed to have the maximum bending moment and no shear load. The reinforced mortars show that a progressive load decrease is likely associated with a progressive rupture of the fiber-matrix interface and then limits a brittle fracture. The addition of fibers into mortar has remarkable effects on the cracking behavior of mortar. Fiber acts as a crack-arrester since the presence of fibers could contribute to preventing brittle fracture suddenly after the first crack appears. Also, the bridging effect of the fiber distribution induces a decrease in the crack width and length compared to the control sample at the same level of loading. The enhancement of toughness and preventing the development of cracks inside reinforced mortars are the most important contributions of fibers.
Figure 17.
Typical curves of behavior in 3 points bending of mortars [32].
4.2 Carbonation resistance of fibers-reinforced mortars
In terms of durability, the usage of CSA cement with low alkali content could lead to a significant decrease in carbonation resistance owing to the lower content of CaO compared to conventional cement. Additionally, several previous studies [34, 35] also pointed out the negative effects of the Ca/Si ratio on the carbonation resistance performance. They believed that a rapid carbonation degree was acquired in consequence of the rapid decalcification of calcium silicate hydrate gel (CSH) at the higher ratio of Ca/Si. Additionally, the formation of carbonation products that result from the decomposition of ettringite, which is the principal phase of CSA cement, and contributes to boosting the carbonation depth in mortar specimens. This observation also proves that the dense microstructure formed by ettringite has negligible effects on the carbonation resistance of the CSA cement-based matrix. Besides, incorporating fibers could improve the carbonation rate due to the high air content (the fibers act as channels and entrain air), encouraging CO2 penetration happened could be easier [36].
The various effects of carbonation on the performances of mortar were obtained. In detail, the compressive strength increased by approximately 9 and 33% for conventional cement-based mortars incorporating and no fibers, respectively. In contrast, the carbonation process could induce a slight decrease by 1–3% in compressive strength of CSA specimens with and without fibers, respectively. The pore structure of composite, which acquires significant changes after accelerated carbonation, is partly responsible for these results. It should be noted that a higher carbonation depth is found in CSA specimens. Therefore, the relationship between carbonation resistance and mechanical strength seems to be significantly dependent on the binder type used in composite [37]. Carbonation-induced strengths of mortar are various due to the cumulated effect of fibers incorporated. Mechanical behavior, hence, could not be a substantial factor in deciding the carbonation resistance of the cementitious composite.
The process of carbonation also induces a slight decrease in the thermal resistance ability of the matrix. For instance, non-carbonated zones have a strong ability to resist temperature than others in carbonation. In detail, at elevated temperature (~900°C), the carbonated area lost up to 14% of its mass. Meanwhile, the mass loss value of the non-carbonated area is below 10%. This observation is the result of CaCO3 formation during the carbonation process. This compound is thermally decomposed at a temperature higher than 650°C. Otherwise, the calcium-carbonated filler, which is generated in conventional cement production, is the main phase decomposed at this temperature.
Mechanical properties of composite materials need to be assured considering the environmental vulnerability. Generally, exposure in wetting and drying cycles has strong effects on the mechanical properties of samples due to the repetition of the negative environment on the interfacial bonding between fibers and cementitious matrix. After the sample is exposed to wetting and drying cycles, compressive strength is the most critical factor in assessing the performance of composite materials [38]. The wetting and drying repetition has adverse effects on the mechanical performance of mortar, regardless of the number of fibers, and reduces both compressive and flexural strengths. Generally, losses in mechanical properties of CSA-based mortars were higher than that of PC-based mortars. However, it should be noted that the maximum compressive strength was observed after one cycle since complete hydration of cement was reached due to the addition of water during the wetting process. In the next cycles, due to the formation of crystallized hydrate products [39], more micro-cracks appeared gradually inside the mortar structure and induced a decrease in compressive strength. Both strength and deformation of mortar samples decreased at the higher level of porosity and the higher number of cycles. The loss of strength was observed when fibers were incorporated into the mortar. More pores in fine aggregate mortar appear due to adding coconut fibers, which creates a convenient environment for the deep penetration of ambient air and water. The change in mechanical strength with predicted tendency was governed by the porosity, the number of cycles and fiber content as well, i.e., the higher fiber content, the higher porosity, the higher number of wetting and drying cycles, the lower mechanical strength.
In conclusion, for natural fibers reinforced composite to become widely used construction materials, consistent and predictable results need to be obtained. To achieve these outcomes, further studies are required on these composite performances by testing and modeling, which are necessary to help the application of this material for the building materials widely. These outcomes might contribute to environmental benefits and sustainable development of the construction industries in the future.
5. Application in reinforced crude bricks by natural fibers as an eco-friendly material
The emission of greenhouse gases, global warming and environmental concerns associated with modern construction materials have forced us to look for environmentally friendly construction materials. Construction materials such as concrete, cement and fired bricks manufacturing consume a higher amount of energy and are responsible for a considerable amount of CO2 emission. Moreover, these materials have higher thermal conductivity. On other hand, adobe bricks are environment-friendly building materials manufactured with sediments and waste natural fibers. Dredged sediments and natural fibers are renewable waste materials, easily available in most regions of the world. Disposal of waste fibers and dredged sediments have negative impacts on the environment as they are the source of air, water and land pollution. Dredged sediments and natural fibers valorisation in adobe bricks generates sustainable and green construction material as adobe bricks manufacturing does not consume energy. Adobe bricks are sun-dried and they have a low thermal conductivity which reduces the energy consumption for heating and cooling.
Adobe bricks are the cheap and oldest construction materials, used in historical buildings. Adobe bricks are manufactured with soil and natural fibers. Soil suitability for adobe bricks is observed with standards such as AFNOR and MOPT [40, 41]. Sediment’s mineralogy, molding moisture content, compaction energy, clay and sand content have a significant influence on the characteristics of adobe bricks. The strength and durability limitations of adobe bricks are the obstacles to their large-scale use. The addition of natural fibers and the use of stabilization techniques reduce these drawbacks to some extent.
Natural fibers are agricultural waste generated by food industries such as sugar cane, palm oil, etc. Natural fibers act as reinforcement in adobe bricks and increase their tensile strength. The low thermal conductivity and density of natural fibers make them suitable additives for adobe bricks and composite materials. Distribution, orientation, quantity and length of fibers are some important parameters that affect the quality and performance of adobe bricks. Fibers are randomly distributed in crude bricks, and it is difficult to control their orientation. The longitudinal distribution of fibers parallel to the bricks axis increases the tensile strength of bricks while their distribution perpendicular to the bricks cross-section does not contribute to the tensile strength of bricks. The quantity of fibers has also a significant impact on the performance of composite materials. The quantity of fibers used in adobe bricks usually varies from 1–5% by mass. The length of fibers is another factor that influences the tensile and compressive strength of bricks. Length of fibers varies with the choice of fibers and available fibers cutting mechanism. The distribution of fibers in bricks is homogenous with fibers of short length. The tensile strength of bricks increases with increasing fibers length however, longer fibers harm the compressive strength of bricks. The presence of knots and weak bond in long fibers affects their performance. Therefore, the use of appropriate length fibers is suggested. The common length range of natural fibers for crude bricks varies from 2 cm to 10 cm in literature studies.
The stabilization of bricks is achieved either by compaction or by using binding materials such as lime, cement and gypsum. As the use of binders involves the cost and contributes to global CO2 emissions. Therefore, bricks stabilization with compaction is a reasonable option. Compaction of bricks can be achieved by static loading, dynamic compaction, and tamping. The compaction of bricks removes the voids inside the bricks and improves their mechanical characteristics along with durability [42]. However, compaction of bricks with dynamic loading and tamping causes the upward movement of fibers along with water which may perturb the distribution of fibers. The durability of adobe bricks is also a challenge as the performance of fibers decreases with time due to degradation. Treatment of fibers improves their characteristics but it has environmental concerns.
Adobe bricks are manufactured by mixing sediments, fibers and water. Molding moisture content varies with the type of sediments and natural fibers. It is important to respect the water absorption coefficient of natural fibers. As water absorption of natural fibers is not instantaneous, prior fibers saturation helps to make homogenous sediments and fibers mixture.
5.1 Manufacturing of crude bricks
Dredged sediments from the Usumacinta River and palm oil flower fibers (POFL) from the Tabasco State of Mexico were investigated to use them in adobe bricks. Usumacinta River sediments (USU) are shown in Figure 18a. Sediment’s characteristics such as granulometry, density, Atterberg limits, optimum moisture content, carbonate content, pH, XRF and organic matter were analyzed. Sediment characteristics are summarized in Table 4.
Figure 18.
Adobe bricks manufacturing, (a) dry sediment and fibers, (b) miniature proctor for prismatic sample, and (c) molded crude bricks.
Sediments
LL (%)
ρsed (g/cm3)
Clay (%)
Sand (%)
pH (−)
OM (%)
MBV (g/100 g)
CaCO3 (%)
Wopt (%)
SSA (m2/g)
J3-9C
37.74
2.63
5.9
52.8
7.5
4.48
2.73
7.84
19.3
28.20
Table 4.
Usumacinta sediments characteristics.
Note: LL = liquid limit, OM = organic matter, MBV = methylene blue value, and SSA = specific surface area.
Palm oil flower fibers were used as reinforcement in adobe bricks. POFL fibers are obtained from palm oil empty fruit bunches which are waste material from the palm industry. Empty fruit bunches were cut with a knife mill by using a grid of 3 cm. POFL fibers are shown in Figure 18a. Due to the grinding of fibers in the knife mill, there is length variation for grid-3 cm long fibers. The average length of fibers is 11.54 mm.
Fiber’s characteristics such as length, cross-section, tensile strength, water absorption, chemical composition and thermal conductivity are important for their use in crude bricks. Cellulose is the main component of POFL fibers which play a key role in the tensile strength of fibers. The tensile load behavior of POFL fibers is elastoplastic behavior. Characteristics of POFL fibers are shown in Table 3.
Crude bricks were manufactured with POFL fibers and Usumacinta River sediments. Manufacturing of fired bricks consists of mixing sediments and fibers, molding, compaction and drying. USU sediments were crushed, grinded and passed through a 2 mm sieve. Sediments were mixed with 0, 1, 2, 3, 4 and 5% saturated POFL fibers. 450 g sediments are recommended for prismatic bricks of size 4*4*16 cm3. The quantity of fibers for each brick can be calculated by Eq. (3).
mfibers=msed×%offibers/100E3
where msed is the mass of dry sediments, mfibers the mass of fibers and % of fibers, the percentage of fibers used. The optimum moisture content of sediments was found by the Proctor test and its value is 19.3%. It was used as molding moisture content. The quantity of water for the mixture can be calculated by Eq. (4).
mwater=msed×%ofwater/100E4
where msed is the mass of dry sediments, mwater the mass of water and % of water, the optimum water content.
USU sediments and POFL fibers were poured into a mixing bowl followed by the addition of water. Sediments and fibers were mixed with an electric mixer for 10 minutes. Sediment mixing was followed by molding. Sediment’s mixture was molded into prismatic bricks of size 4*4*16 cm3 which is commonly used for manufacturing composite materials at laboratory scale [11]. Bricks were compacted with dynamic compaction. Compaction energy used is similar to the Proctor test energy, i.e., 600 kN.m/m3. The compaction of adobe bricks is shown in Figure 18b. After compaction bricks were unmolded and oven-dried at 40°C and sun-dried. Bricks were kept in the oven until their mass variation was below 1%. It was observed that sun-drying of bricks at room temperature (20°C ± 2°C) takes 2–3 weeks while oven drying can be achieved in 3–4 days. Figure 18c shows oven drying of adobe bricks.
5.2 Characteristics of bricks
Adobe bricks characteristics include tensile strength, fibers distribution, thermal conductivity, shrinkage and density, etc. Characteristics of bricks are strongly influenced by fiber content. Tensile strength and toughness of bricks increase with fiber content up to optimum moisture content. Fibers contribute to the tensile strength of bricks and transform the brittle failure into ductile failure by increasing the post-peak load-bearing capacity of bricks. The higher quantity of fibers produces fibers clusters in the matrix and reduces the bonding between fibers and sediments which decreases the tensile strength and toughness of bricks. The indirect tensile strength of bricks is determined with a three-point bending test according to ASTM standard [43]. The toughness index of bricks is also be determined with a tensile strength test. The tensile strength and toughness index of Usumacinta sediments bricks at different fiber content are shown in Table 5.
DCi%
DC0%
DC1%
DC2%
DC3%
DC%
DC5%
σt (MPa)
1.79
1.79
2.56
3.19
2.02
2.59
Toughness
1
2.58
4.18
4.42
2.83
3.89
Table 5.
Mechanical characteristics of bricks.
Note: DCi% = dynamic compaction of crude brick with i (%) of fiber content, and σt = tensile strength at failure.
Table 5 shows that the tensile strength and toughness of Usumacinta sediments bricks increases with fiber content up to the optimum fiber content. Tensile strength of fiber-reinforced crude bricks, i.e., adobe bricks, reported in the literature and different standards vary from 0.04 to 2.05 MPa [44].
Physical characteristics of bricks include mass, density, shrinkage, ultrasonic pulse velocity (UPV) and thermal conductivity. The addition of fibers decreases the density of bricks and makes them lightweight construction material. On the other hand, Ultrasonic pulse velocity of bricks also decreases with increasing fibers content due to the presence of voids as saturated fibers swell initially and shrink after drying the bricks which produce small cracks. Shrinkage is another important property of bricks which increases with higher molding moisture content and higher clay content of sediments.
Physical characteristics of adobe bricks made with USU sediments at optimum fiber content are summarized in Table 6.
Bricks
Mass (g)
Density (kg/m3)
Shrinkage (%)
K (W/mK)
UPV (m/s)
USU
370
1524
2.25
0.23
924
Table 6.
Physical characteristics of adobe bricks.
Note: K = thermal conductivity, and UPV = ultrasonic pulse velocity.
Uniform distribution of fibers inside the bricks is important. The distribution of fibers inside bricks can be observed with ImageJ software [5]. Crude bricks are divided into 4 parts with 6 cross-sections. A microscopic image of each brick cross-section is analyzed with ImageJ software to find the number of fibers, their area and orientation in bricks. Upward movement of fibers in composite materials with dynamic compaction can be observed with image analysis.
This section includes a detailed analysis of the physical and mechanical characteristics of natural fibers especially tropical fibers for their recycling in construction materials such as crude bricks. Crude bricks specimens were manufactured at different fibers content and their characteristics were analyzed. The Addition of natural fibers in construction material has a positive impact on the tensile strength, density and thermal properties of these materials.
6. Conclusions
This chapter focuses on the recycling of waste natural fibers in composite materials used for construction. Fiber’s recycling eliminates agriculture waste and contributes to conserving natural resources used in building materials and sustainable development.
For fibers recycling, the study of their biochemical, physical, morphological, microstructural and mechanical characteristics is essential. In addition, durability analysis of fibers helps to determine the long-term evolution of these characteristics. This chapter reviews the characteristics of natural fibers suitable for building composites such as tensile strength, water absorption, modulus of elasticity and density. Moreover, characteristics of tropical fibers are also discussed for their reuse in earth bricks.
Analysis of natural fibers characteristics used in building materials shows the great variability in their intrinsic properties. The development of composite materials such as reinforced cementitious mortars or fiber-reinforced raw earth must consider this variability.
Natural fibers addition in building composites improves the tensile strength of these materials. Moreover, natural fibers improve the thermal and acoustic performance of composite materials.
Case studies for the recycling of natural fibers in mortar and earth bricks are also discussed. Natural fibers addition reduces the density of earth bricks and mortar. The tensile strength of earth bricks increases significantly with the addition of natural fibers. Natural fibers act as reinforcement and transform the brittle behavior of mortar and earth bricks into ductile behavior.
Acknowledgments
A part of this research work reported in this chapter has been funded by the project “From traditional uses to an integrated valorisation of sediments in the Usumacinta river basin (VAL-USES)” from the Agence Nationale de la Recherche of France (ANR-17-CE03-0012-01) and the Consejo Nacional de Ciencia y Tecnología of Mexico (FONCICYT-290792).
\n',keywords:"natural fibers, recycling, sustainability, waste management, building materials",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/81261.pdf",chapterXML:"https://mts.intechopen.com/source/xml/81261.xml",downloadPdfUrl:"/chapter/pdf-download/81261",previewPdfUrl:"/chapter/pdf-preview/81261",totalDownloads:19,totalViews:0,totalCrossrefCites:0,dateSubmitted:"November 27th 2021",dateReviewed:"February 2nd 2022",datePrePublished:"April 14th 2022",datePublished:null,dateFinished:"April 13th 2022",readingETA:"0",abstract:"This chapter deals with the reuse and recycling of tropical natural fibers and their potential valorization in construction materials in a context of circular economy and sustainable development. These fibers constitute large volumes of fibrous waste resulting from various agro-food industries worldwide. Depending on their intrinsic qualities and properties (physical and mechanical), they can be reused as reinforcing material in cementitious mixes (hardened mixes) or mixes with soils (raw mixes) and molded into a prismatic brick-like shape. These bricks constitute construction materials that have mechanical and other characteristics. A whole methodology specific to the development of such materials and their optimization is presented. It includes the preparation, characterization, cutting of the fibers to the desired length and the making of the mixtures. This is followed by optimization (fibers distribution), control and quality of the fiber-reinforced material. Two examples illustrate the application of this methodology: a reinforced mortar based on coconut fibers (hardened cementitious mix) and a green brick based on sediment and oil palm fibers.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/81261",risUrl:"/chapter/ris/81261",signatures:"Huyen Bui, Mazhar Hussain and Daniel Levacher",book:{id:"11122",type:"book",title:"Natural Fiber",subtitle:null,fullTitle:"Natural Fiber",slug:null,publishedDate:null,bookSignature:"Prof. Han-Yong Jeon",coverURL:"https://cdn.intechopen.com/books/images_new/11122.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-214-9",printIsbn:"978-1-80355-213-2",pdfIsbn:"978-1-80355-215-6",isAvailableForWebshopOrdering:!0,editors:[{id:"114618",title:"Prof.",name:"Han-Yong",middleName:null,surname:"Jeon",slug:"han-yong-jeon",fullName:"Han-Yong Jeon"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Natural fibers and tropical fibers",level:"1"},{id:"sec_2_2",title:"2.1 The use of natural and tropical fibers in building materials",level:"2"},{id:"sec_3_2",title:"2.2 The use of natural and tropical fibers in building materials",level:"2"},{id:"sec_5",title:"3. Characterization and properties of tropical natural fibers",level:"1"},{id:"sec_5_2",title:"3.1 Useful properties of natural fibers in building materials",level:"2"},{id:"sec_6_2",title:"3.2 Treatment of fibers",level:"2"},{id:"sec_7_2",title:"3.3 Water absorption of fibers",level:"2"},{id:"sec_8_2",title:"3.4 Specific gravity of fibers",level:"2"},{id:"sec_9_2",title:"3.5 Geometry of fibers",level:"2"},{id:"sec_10_2",title:"3.6 Tensile strength of fibers",level:"2"},{id:"sec_11_2",title:"3.7 Pull-out resistance of fibers",level:"2"},{id:"sec_12_2",title:"3.8 Some properties of natural tropical fibers",level:"2"},{id:"sec_12_3",title:"3.8.1 Useful properties of natural tropical fibers in building materials",level:"3"},{id:"sec_13_3",title:"Table 3.",level:"3"},{id:"sec_14_3",title:"3.8.3 Bio-physical properties of natural tropical fibers",level:"3"},{id:"sec_17",title:"4. Application in reinforced mortars by natural fibers as cementitious material",level:"1"},{id:"sec_17_2",title:"4.1 Mechanical properties of fibers-reinforced mortars",level:"2"},{id:"sec_18_2",title:"4.2 Carbonation resistance of fibers-reinforced mortars",level:"2"},{id:"sec_20",title:"5. Application in reinforced crude bricks by natural fibers as an eco-friendly material",level:"1"},{id:"sec_20_2",title:"5.1 Manufacturing of crude bricks",level:"2"},{id:"sec_21_2",title:"5.2 Characteristics of bricks",level:"2"},{id:"sec_23",title:"6. Conclusions",level:"1"},{id:"sec_24",title:"Acknowledgments",level:"1"}],chapterReferences:[{id:"B1",body:'Maraveas C. Production of sustainable construction materials using agro-wastes. Materials. 2020;13(2):262. DOI: 10.3390/ma13020262'},{id:"B2",body:'Dungani R, Karina M, Subyakto SA, Hermawan D, Hadiyane A. Agricultural waste fibers towards sustainability and advanced utilization: A review. Asian Journal of Plant Sciences. 2016;15:42-55. 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DOI: 10.1080/15440478.2021.1875359'},{id:"B15",body:'Sridhar SK, Basavarajappa G, Kasturi SG, Balasubramanian N. Evaluation of jute as reinforcement in composites. Indian Journal of Textile Research. 1982;7(3):87-92. http://nopr.niscair.res.in/handle/123456789/33127'},{id:"B16",body:'Masri T. Contribution au développement des matériaux de construction à base des sous-produits du palmier dattier [thesis]. Algeria: Biskra University; 2018'},{id:"B17",body:'Tian KP, Shen C, Zhang B, Li XW, Huang JC, Chen QM. Experimental study on mechanical properties of reed stalk. IOP Conference Series: Earth and Environmental Science. 2019;346:012076. DOI: 10.1088/1755-1315/346/1/012076'},{id:"B18",body:'Danso H. Properties of plantain pseudo-stem fibres, plantain bunch fibres and rice husk for construction application. Materials Circular Economy. 2021;3:15. DOI: 10.1007/s42824-021-00028-0'},{id:"B19",body:'Phung TA. Formulation et caractérisation d’un composite terre-fibres végétales : la bauge. [thesis]. France: Caen Normandie University; 2018'},{id:"B20",body:'Bui H, Sebaibi N, Boutouil M, Levacher D. Determination and review of physical and mechanical properties of raw and treated coconut fibers for their recycling in construction materials. Fibers. 2020;8(6):37. DOI: 10.3390/fib8060037'},{id:"B21",body:'Hussain M, Levacher D, Leblanc N, Zmamou H, Djeran-Maigre I, Razakamanantsoa A, et al. Properties of Mexican tropical palm oil flower and fruit fibers for their prospective use in eco-friendly construction material. Fibers. 2021;9:63. DOI: 10.3390/fib9110063'},{id:"B22",body:'Kesikidou F, Stefanidou M. Natural fiber-reinforced mortars. Journal of Building Engineering. 2019;25:100786. DOI: 10.1016/j.jobe.2019.100786'},{id:"B23",body:'Thi VVD. Matériaux composites à fibres naturelles / polymère biodégradables ou non [thesis]. Vietnam: Grenoble University, France-Ho Chi Minh University; 2011'},{id:"B24",body:'Hejazi SM, Sheikhzadeh M, Abtahi SM, Zadhoush A. A simple review of soil reinforcement by using natural and synthetic fibers. Construction and Building Materials. 2012;30:100-116. DOI: 10.1016/j.conbuildmat.2011.11.045'},{id:"B25",body:'Zmamou H. Eco-conception de nouveaux agromatériaux à partir de cendres de chaudière biomasse. Relation structures-propriétés. [thesis]. France: Rouen University; 2015'},{id:"B26",body:'Trujillo E, Moesen M, Osorio L, Van Vuure AW, Ivens J, Verpoest I. Bamboo fibres for reinforcement in composite materials: Strength Weibull analysis. Composites Part A: Applied Science and Manufacturing. 2014;61:115-125. DOI: 10.1016/j.compositesa.2014.02.003'},{id:"B27",body:'Fu SY, Lauke B, Mai YW. Science and Engineering of Short Fibre Reinforced Polymer Composites. 1st edit ed. London: CRC Press. eBook ISBN: 9781845696498'},{id:"B28",body:'Hine PJ, Duckett RA, Ward IM, Allan PS, Bevis MJ. A comparison of short glass fiber reinforced polypropylene plates made by conventional injection molding and using shear controlled injection molding. Polymer Composites. 1996;17(3):400-407. DOI: 10.1002/pc.10627'},{id:"B29",body:'Ferrara G, Coppola B, Di Maio L, Incarnato L. Tensile strength of flax fabrics to be used as reinforcement in cement-based composites: Experimental tests under different environmental exposures. Composites Part B: Engineering. 2019;168:511-523. DOI: 10.1016/j.compositesb.2019.03.062'},{id:"B30",body:'Prasad SV, Pavithran C, Rohatgi PK. Alkali treatment of coir fibres for coir-polyester composites. Journal of Materials Science. 1983;18:1443-1454. DOI: 10.1007/BF01111964'},{id:"B31",body:'Juenger MCG, Winnefeld F, Provis JL, Ideker JH. Advances in alternative cementitious binders. Cement and Concrete Research. 2011;41(12):1232-1243. DOI: 10.1016/j.cemconres.2010.11.012'},{id:"B32",body:'Bui H. Study on Performance Enhancement of Coconut Fibres Reinforced Cementitious Composites [thesis]. France: Caen Normandie University; 2021'},{id:"B33",body:'Paegle I, Fischer G. Evaluation of test methods used to characterize fiber reinforced cementitious composites. In: Proceedings of the International Conference Innovative Materials, Structures and Technologies. 2013. pp. 122-128'},{id:"B34",body:'Black L, Garbev K, Gee I. Surface carbonation of synthetic C-S-H samples: A comparison between fresh and aged C-S-H using X-ray photoelectron spectroscopy. Cement and Concrete Research. 2008;38(6):745-750. DOI: 10.1016/j.cemconres.2008.02.003'},{id:"B35",body:'Steiner S, Lothenbach B, Proske T, Borgschulte A, Winnefeld F. Effect of relative humidity on the carbonation rate of portlandite, calcium silicate hydrates and ettringite. Cement and Concrete Research. 2020;135:106116. DOI: 10.1016/j.cemconres.2020.106116'},{id:"B36",body:'Bui H, Boutouil M, Levacher D, Sebaibi N. Evaluation of the influence of accelerated carbonation on the microstructure and mechanical characteristics of coconut fibre-reinforced cementitious matrix. Journal of Building Engineering. 2021;39:102269. DOI: 10.1016/j.jobe.2021.102269'},{id:"B37",body:'Elsalamawy M, Mohamed AR, Kamal EM. The role of relative humidity and cement type on carbonation resistance of concrete. Alexandria Engineering Journal. 2019;58(4):1257-1264. DOI: 10.1016/j.aej.2019.10.008'},{id:"B38",body:'Yeon Ting MZ, Wong KS, Rahman ME, Meheron SJ. Deterioration of marine concrete exposed to wetting-drying action. Journal of Cleaner Production. 2020;278:123383. DOI: 10.1016/j.jclepro.2020.123383'},{id:"B39",body:'García-Maté M, De La Torre AG, León-Reina L, Aranda MAG, Santacruz I. Hydration studies of calcium sulfoaluminate cements blended with fly ash. Cement and Concrete Research. 2013;54:12-20. DOI: 10.1016/j.cemconres.2013.07.010'},{id:"B40",body:'AFNOR XP. P13-901. Compressed Earth Blocks for Walls and Partitions: Definitions – Specifications – Test methods. AFNOR editions, Paris, France; 2001. 35p'},{id:"B41",body:'Bauluz del Río G, Bárcena BP. Bases para el diseño y construcción con tapial. Madrid, Spain: Centro de Publicaciones, Ministerio de Obras Públicas y Transportes (MOPT); 1992'},{id:"B42",body:'Seifi S, Sebaibi N, Levacher D, Boutouil M. Mechanical performance of a dry mortar without cement, based on paper fly ash and blast furnace slag. Journal of Building Engineering. 2019;22:113-121. DOI: 10.1016/j.jobe.2018.11.004'},{id:"B43",body:'ASTM. D790-03. Standard Test Methods for Flexural Properties of Unreinforced and Reinforced Plastics and Electrical Insulating Materials. West Conshohocken, PA: American Society for Testing and Materials; 2003. p. 9'},{id:"B44",body:'Cárdenas-Haro X, Todisco L, León J. Database with compression and bending tests on unbaked earth specimens and comparisons with international code provisions. Construction and Building Materials. 2021;276:122232. DOI: 10.1016/j.conbuildmat.2020.122232'}],footnotes:[],contributors:[{corresp:null,contributorFullName:"Huyen Bui",address:null,affiliation:'
Unité de Chimie Environnementale et Interactions sur le Vivant, Littoral Côte d’Opale University, UR 4492, UCEIV, SFR Condorcet FR CNRS 3417, France
Faculty of Civil Engineering, Thuyloi University, Vietnam
ComUE Normandie University, Caen Normandie University, M2C UMR 6143 CNRS, France
UniLaSalle, Univ. Artois, ULR 7519, Transformations and Agro-Resources, ComUE Normandie University, France
'}],corrections:null},book:{id:"11122",type:"book",title:"Natural Fiber",subtitle:null,fullTitle:"Natural Fiber",slug:null,publishedDate:null,bookSignature:"Prof. Han-Yong Jeon",coverURL:"https://cdn.intechopen.com/books/images_new/11122.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80355-214-9",printIsbn:"978-1-80355-213-2",pdfIsbn:"978-1-80355-215-6",isAvailableForWebshopOrdering:!0,editors:[{id:"114618",title:"Prof.",name:"Han-Yong",middleName:null,surname:"Jeon",slug:"han-yong-jeon",fullName:"Han-Yong Jeon"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"56642",title:"Prof.",name:"Milan",middleName:"Vancho",surname:"Samardziski",email:"milan_samardziski@yahoo.com",fullName:"Milan Samardziski",slug:"milan-samardziski",position:null,biography:"Name and surname: Milan Samardziski MD, MsC\n\nNationality: Macedonian\nDate of birth: August 20, 1962\nPlace of birth: Berovo, Republic of Macedonia\n\nPermanent address: Vasil Gjorgov 22/19\n \t 1000 Skopje, Macedonia\n Tel. Office: ++398 02 3235 137; 3162 636\n Fax: ++389 02 3235 137; \n\nProfession: Medical Doctor, Orthopedic Surgeon\n\nLanguages: English\n\nEmployed at: University “St. Kiril and Metodi”, Medical Faculty,\n Clinic for Orthopaedic Surgery, University Clinical Center,\n Skopje, Macedonia\nPost: Orthopedic Surgeon\nProfessional background: -Clinic for Orthopedic Surgery, Skopje, from June 1, 1989 up to now;\n-Since 1999, Head of Department for Bone Tumors and Transplantation of Bone, Clinic for orthopaedic Surgery, Skopje, Macedonia\n\nEducational background : Primary School, in Skopje, completed 1977/78, excellent result;\n Secondary School: in Skopje, completed 1980/81, excellent result;\n One year obligatory Army service, completed 1981/82.\nEntered Faculty of Medicine, Skopje in 1982/83, completed in March 19, 1988, (average result 8,56).\nOne year obligatory practice with final examination in Laws and Constitution, completed June ,1989.\nSpecialization in Orthopedic surgery started on September, 1992, completed October 2, 1996.\nPostgraduate studies in Medicine (Orthopaedic surgery) finished on 2 July 2003, in Skopje.\n\t\t PhD disertation finished on 2 December, 2009, in Skopje.\t\t\n\nFields of interest: Bone tumors and limb reconstruction, endoprostheses,\n pediatric orthopaedics\n\nSpecialization abroad: -Student exchange program, Italy, Sicily, Catania, \n Prof. Dr Masimo Gaglio, June 1986;\n -Balcan - Ohrid School for Echosonography,\n 03-10 September, 1995, Ohrid, Macedonia\n-Basic Course for Arthroscopy, 03-05 October, 1996, Skopje, Macedonia\n-Exchange program of orthopedic surgeons, Institute for Orthopedic Surgery, “Banjica”, SR Yugoslavia, Beograd, \n\t Prof. Dr Slobodan Slavkovic, December, 1997,\n\t -Maryland Center for Limb Lengthening and Reconstruction,\n\t Kernan Hospital, Baltimore, Maryland, USA, \n\t from June 01 to September 15, 1998\n\t Prof. Dror Paley, MD, FRCSC\n\t-The 7th Annual Baltimore Deformity Course\n\t 10-15 September, 1998, Baltimore, MD, USA\n\t-Salzburg-Cornell Seminar, 07-13 Nov, 1998, Salzburg, Austria\n-From 29 Noember to 24 December 1999, “Algemeines Krankenhaus”, Vienna, Austria, (Univ. 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The Open Access model is applied to all of our publications and is designed to eliminate subscriptions and pay-per-view fees. This approach ensures free, immediate access to full text versions of your research.
As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 140,000 international scientists and researchers.
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The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
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OAPF Publishing Options
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1,400 GBP Chapter - Edited Volume
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850 GBP Chapter - Book Series Topic (Annual Volume)
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10,000 GBP Monograph - Long Form
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4,000 GBP Compacts Monograph - Short Form
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850 GBP Journal Article (Across Portfolio)
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During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
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*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
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Services included are:
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An online manuscript tracking system to facilitate your work
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Personal contact and support throughout the publishing process from your dedicated Author Service Manager
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English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
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XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\\n\\t
Discoverability - electronic citation and linking via DOI
\\n\\t
Permanent and unrestricted online access to your work
\\n
\\n\\n
What isn't covered by the Open Access Publishing Fee?
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If your manuscript:
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\\n\\t
Exceeds the number of pages defined by the publishing guidelines, an additional fee per page may be required
\\n\\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
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\\n\\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\\n\\n
Open Access Funding
\\n\\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
\\n\\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\\n\\n
Added Value of Publishing with IntechOpen
\\n\\n
Choosing to publish with IntechOpen ensures the following benefits:
\\n\\n
\\n\\t
Indexing and listing across major repositories, see details ...
\\n\\t
Long-term archiving
\\n\\t
Visibility on the world's strongest OA platform
\\n\\t
Live Performance Metrics to track readership and the impact of your chapter
\\n\\t
Dissemination and Promotion
\\n
\\n\\n
Benefits of Publishing with IntechOpen
\\n\\n
\\n\\t
Proven world leader in Open Access book publishing with over 10 years experience
\\n\\t
+5,700 OA books published
\\n\\t
Most competitive prices in the market
\\n\\t
Fully compliant with OA funding requirements
\\n\\t
Optimized processes that assure your research is made available to the scientific community without delay
\\n\\t
Personal support during every step of the publication process
\\n\\t
+184,650 citations in Web of Science databases
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Currently strongest OA platform with over 175 million downloads
As a gold Open Access publisher, an Open Access Publishing Fee is payable on acceptance following peer review of the manuscript. In return, we provide high quality publishing services and exclusive benefits for all contributors. IntechOpen is the trusted publishing partner of over 140,000 international scientists and researchers.
\n\n
The Open Access Publishing Fee (OAPF) is payable only after your book chapter, monograph or journal article is accepted for publication.
\n\n
OAPF Publishing Options
\n\n
\n\t
1,400 GBP Chapter - Edited Volume
\n\t
850 GBP Chapter - Book Series Topic (Annual Volume)
\n\t
10,000 GBP Monograph - Long Form
\n\t
4,000 GBP Compacts Monograph - Short Form
\n\t
850 GBP Journal Article (Across Portfolio)
\n
\n\n
During the launching phase journals do not charge an APC, rather they will be funded by IntechOpen.
\n\n
*These prices do not include Value-Added Tax (VAT). Residents of European Union countries need to add VAT based on the specific rate in their country of residence. Institutions and companies registered as VAT taxable entities in their own EU member state will not pay VAT as long as provision of the VAT registration number is made during the application process. This is made possible by the EU reverse charge method.
\n\n
Services included are:
\n\n
\n\t
An online manuscript tracking system to facilitate your work
\n\t
Personal contact and support throughout the publishing process from your dedicated Author Service Manager
\n\t
Assurance that your manuscript meets the highest publishing standards
\n\t
English language copyediting and proofreading, including the correction of grammatical, spelling, and other common errors
\n\t
XML Typesetting and pagination - web (PDF, HTML) and print files preparation
\n\t
Discoverability - electronic citation and linking via DOI
\n\t
Permanent and unrestricted online access to your work
\n
\n\n
What isn't covered by the Open Access Publishing Fee?
\n\n
If your manuscript:
\n\n
\n\t
Exceeds the number of pages defined by the publishing guidelines, an additional fee per page may be required
\n\t
If a manuscript requires Heavy Editing or Language Polishing, this will incur additional fees.
\n
\n\n
Your Author Service Manager will inform you of any items not covered by the OAPF and provide exact information regarding those additional costs before proceeding.
\n\n
Open Access Funding
\n\n
To explore funding opportunities and learn more about how you can finance your IntechOpen publication, go to our Open Access Funding page. IntechOpen offers expert assistance to all of its Authors. We can support you in approaching funding bodies and institutions in relation to publishing fees by providing information about compliance with the Open Access policies of your funder or institution. We can also assist with communicating the benefits of Open Access in order to support and strengthen your funding request and provide personal guidance through your application process. You can contact us at funders@intechopen.com for further details or assistance.
\n\n
For Authors who are still unable to obtain funding from their institutions or research funding bodies for individual projects, IntechOpen does offer the possibility of applying for a Waiver to offset some or all processing feed. Details regarding our Waiver Policy can be found here.
\n\n
Added Value of Publishing with IntechOpen
\n\n
Choosing to publish with IntechOpen ensures the following benefits:
\n\n
\n\t
Indexing and listing across major repositories, see details ...
\n\t
Long-term archiving
\n\t
Visibility on the world's strongest OA platform
\n\t
Live Performance Metrics to track readership and the impact of your chapter
\n\t
Dissemination and Promotion
\n
\n\n
Benefits of Publishing with IntechOpen
\n\n
\n\t
Proven world leader in Open Access book publishing with over 10 years experience
\n\t
+5,700 OA books published
\n\t
Most competitive prices in the market
\n\t
Fully compliant with OA funding requirements
\n\t
Optimized processes that assure your research is made available to the scientific community without delay
\n\t
Personal support during every step of the publication process
\n\t
+184,650 citations in Web of Science databases
\n\t
Currently strongest OA platform with over 175 million downloads
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Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. He has served as guest editor for a number of special issues of peer-reviewed international journals.",institutionString:null,institution:{name:"University of the West of England",institutionURL:null,country:{name:"United Kingdom"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:17,paginationItems:[{id:"81791",title:"Self-Supervised Contrastive Representation Learning in Computer Vision",doi:"10.5772/intechopen.104785",signatures:"Yalin Bastanlar and Semih Orhan",slug:"self-supervised-contrastive-representation-learning-in-computer-vision",totalDownloads:12,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Pattern Recognition - New Insights",coverURL:"https://cdn.intechopen.com/books/images_new/11442.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"79345",title:"Application of Jump Diffusion Models in Insurance Claim Estimation",doi:"10.5772/intechopen.99853",signatures:"Leonard Mushunje, Chiedza Elvina Mashiri, Edina Chandiwana and Maxwell Mashasha",slug:"application-of-jump-diffusion-models-in-insurance-claim-estimation-1",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Data Clustering",coverURL:"https://cdn.intechopen.com/books/images_new/10820.jpg",subseries:{id:"26",title:"Machine Learning and Data Mining"}}},{id:"81557",title:"Object Tracking Using Adapted Optical Flow",doi:"10.5772/intechopen.102863",signatures:"Ronaldo Ferreira, Joaquim José de Castro Ferreira and António José Ribeiro Neves",slug:"object-tracking-using-adapted-optical-flow",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Information Extraction and Object Tracking in Digital Video",coverURL:"https://cdn.intechopen.com/books/images_new/10652.jpg",subseries:{id:"24",title:"Computer Vision"}}},{id:"81558",title:"Thresholding Image Techniques for Plant Segmentation",doi:"10.5772/intechopen.104587",signatures:"Miguel Ángel Castillo-Martínez, Francisco Javier Gallegos-Funes, Blanca E. 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He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. 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He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. 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