Calculated control indexes of the adaptive sliding mode control under the 2011 Tōhoku earthquake excitation.
\r\n\tContaminated water is not suitable for drinking, or use in recreation, agriculture, and industrial activities. These waters cause poisoning of drinking water, deterioration of river and lake ecosystems, decrease in biological diversity as a result of the death of aquatic life, and various environmental problems.
\r\n\r\n\tWater resources are limited however, the need for water is gradually increasing. Considering that water quality deteriorates increasingly, the importance of preserving existing water resources in terms of quantity and quality is increasing day by day. So, it is important to determine the sources of contamination correctly and to take the necessary precautions.
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Kiang, Risaku Fukumoto and Nikolai V. 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Gul",middleName:null,surname:"Ozkaya",fullName:"Y. Gul Ozkaya",slug:"y.-gul-ozkaya"}]},{id:"38466",title:"Reactive Oxygen Species Act as Signaling Molecules in Liver Carcinogenesis",slug:"reactive-oxygen-species-act-as-signaling-molecules-in-liver-carcinogenesis",signatures:"María Cristina Carrillo, María de Luján Alvarez, Juan Pablo Parody, Ariel Darío Quiroga and María Paula Ceballos",authors:[{id:"142215",title:"PhD.",name:"Maria Cristina",middleName:null,surname:"Carrillo",fullName:"Maria Cristina Carrillo",slug:"maria-cristina-carrillo"},{id:"142855",title:"Dr.",name:"Maria De Luján",middleName:null,surname:"Alvarez",fullName:"Maria De Luján Alvarez",slug:"maria-de-lujan-alvarez"},{id:"142858",title:"BSc.",name:"Juan Pablo",middleName:null,surname:"Parody",fullName:"Juan Pablo Parody",slug:"juan-pablo-parody"},{id:"142859",title:"Dr.",name:"Ariel Darío",middleName:null,surname:"Quiroga",fullName:"Ariel Darío Quiroga",slug:"ariel-dario-quiroga"},{id:"142861",title:"BSc.",name:"Maria Paula",middleName:null,surname:"Ceballos",fullName:"Maria Paula Ceballos",slug:"maria-paula-ceballos"}]},{id:"38459",title:"Lipid Peroxidation and Antioxidants in Arterial Hypertension",slug:"lipid-peroxidation-and-antioxidants-in-arterial-hypertension",signatures:"Teresa Sousa, Joana Afonso, António Albino-Teixeira and Félix Carvalho",authors:[{id:"131252",title:"Prof.",name:"Félix",middleName:null,surname:"Carvalho",fullName:"Félix Carvalho",slug:"felix-carvalho"},{id:"140800",title:"Prof.",name:"António",middleName:null,surname:"Albino-Teixeira",fullName:"António Albino-Teixeira",slug:"antonio-albino-teixeira"},{id:"142410",title:"Prof.",name:"Teresa",middleName:null,surname:"Sousa",fullName:"Teresa Sousa",slug:"teresa-sousa"},{id:"142411",title:"MSc.",name:"Joana",middleName:null,surname:"Afonso",fullName:"Joana Afonso",slug:"joana-afonso"}]},{id:"38476",title:"Lipid Peroxidation and Reperfusion Injury in Hypertrophied Hearts",slug:"lipid-peroxidation-and-reperfusion-injury-in-hypertrophied-hearts",signatures:"Juliana C. Fantinelli, Ignacio A. Pérez Núñez, Luisa F. González Arbeláez and Susana M. Mosca",authors:[{id:"98613",title:"Dr.",name:"Susana",middleName:null,surname:"Mosca",fullName:"Susana Mosca",slug:"susana-mosca"}]},{id:"38455",title:"Lipid Peroxidation by-Products and the Metabolic Syndrome",slug:"lipid-peroxidation-by-products-and-the-metabolic-syndrome",signatures:"Nicolas J. Pillon and Christophe O. 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Kanunnikova, Natalya Z. Bashun and Andrey G. Moiseenok",authors:[{id:"142487",title:"Prof.",name:"Nina",middleName:null,surname:"Kanunnikova",fullName:"Nina Kanunnikova",slug:"nina-kanunnikova"},{id:"142491",title:"Dr.",name:"Natalya",middleName:null,surname:"Bashun",fullName:"Natalya Bashun",slug:"natalya-bashun"},{id:"142503",title:"Prof.",name:"Andrey",middleName:null,surname:"Moiseenok",fullName:"Andrey Moiseenok",slug:"andrey-moiseenok"}]},{id:"38464",title:"Lipid Peroxidation and Polybrominated Diphenyl Ethers – A Toxicological Perspective",slug:"lipid-peroxidation-and-polybrominated-diphenyl-ethers-a-toxicological-perspective",signatures:"Mary C. Vagula and Elisa M. Konieczko",authors:[{id:"141806",title:"Dr.",name:"Mary",middleName:null,surname:"Vagula",fullName:"Mary Vagula",slug:"mary-vagula"},{id:"150947",title:"Prof.",name:"Elisa",middleName:null,surname:"Konieczko",fullName:"Elisa Konieczko",slug:"elisa-konieczko"}]}]}],publishedBooks:[{type:"book",id:"8852",title:"Chemistry and Applications of Benzimidazole and its Derivatives",subtitle:null,isOpenForSubmission:!1,hash:"e95984a2b87df5a7ca051cb3345d5e7a",slug:"chemistry-and-applications-of-benzimidazole-and-its-derivatives",bookSignature:"Maria Marinescu",coverURL:"https://cdn.intechopen.com/books/images_new/8852.jpg",editedByType:"Edited by",editors:[{id:"250975",title:"Ph.D.",name:"Maria",surname:"Marinescu",slug:"maria-marinescu",fullName:"Maria Marinescu"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"372",title:"Aflatoxins",subtitle:"Biochemistry and Molecular Biology",isOpenForSubmission:!1,hash:"b7f7359995dc5ee04e12df282495f77e",slug:"aflatoxins-biochemistry-and-molecular-biology",bookSignature:"Ramón Gerardo Guevara-González",coverURL:"https://cdn.intechopen.com/books/images_new/372.jpg",editedByType:"Edited by",editors:[{id:"62559",title:"Dr.",name:"Ramon G.",surname:"Guevara-Gonzalez",slug:"ramon-g.-guevara-gonzalez",fullName:"Ramon G. 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The idea was initiated in the Soviet Union early in the 1930s [1, 2] after the Lyapunov stability theory apparition [3]. However, the peculiar evolution point started from the famous Emel’yanov and Barbashin works [4, 5]. Since then, the sliding mode control was a subject of several papers and works and been widely used in the various area as civil engineering [6], aircraft [7], robotic [8], energy and more other areas. After the contribution of the differential equations with discontinuous right-hand side theory established by Filippov in 1960 the sliding mode control received much more attention from researchers for wide dynamic system processes as time-varying, large-scale, infinite-dimensional or stochastic [9].
The sliding mode control decouples the dynamic motion of the whole controlled system into two components that do not depend on each other. In fact, this decomposition offered lower dimension and design simplicity to the system especially in feedback control conception. In addition to advantages presented by the sliding mode control as the insensitivity to parameter variations, complete rejection disturbances and depending on the sliding conditions the control can be combined easily to operational modes, approaches and controllers. Many interesting experimental and theoretical results are presented by combining the sliding mode control as adaptive sliding mode [10], fuzzy sliding mode [11], artificial neural network sliding mode [12] and decentralized sliding mode [13].
The sliding mode aspect may appear in dynamical systems where the motion is presented using ordinary differential equations with discontinuous right-hand sides. Thus, the concept uses a discontinuous control signal to reform the system motions without depending on the system dynamic but the sliding parameters. This approach reduces the order of the original system equation which simplifies the mathematical modeling of the dynamic system motions. Therefore, the control output switched in high frequency between two values
The linearization possibility of any mechanical system is linked to the presence of friction in the system. The force-velocity behavior depended essentially on the friction type as dry friction or fluid friction. In such a problem, the critical zone is which presented the maximum displacements. Nevertheless, in this zone the velocity value is in the neighborhood of zero with an opposite sign to the friction force. Consider the mechanical problem presented in Figure 1 consisting of a Coulomb friction mass-spring system.
Coulomb friction system.
The motion equation is presented as
Where
In this case, the system work depends little on velocity and even if slowly moved the mass, a finite work is done in a displacement. So, even for the small velocity, the friction force existed and was defined with a finite value. Thereby, near to the zero velocity, the friction force switched to the finite limit in the two sides (positive or negative) [15].
Thus, around the state plan origin, the discontinuity is presented and the solution is unknown on the right-hand side of the differential motion equation. This situation is a frequent case in various control systems needing the differential equations with discontinuous right-hand sides theory [9].
The principle of the sliding mode approach consists of forcing the system to reach a fictive surface called the sliding surface to get the equilibrium state and keeping it switching around this surface thereafter. Hence, the first step is called the reaching phase and the second is called the sliding phase. Therefore, the trajectory in the state plane is assured by three distinct modes. The first mode is the convergence mode during which the variable to be adjusted gets the sliding surface from any initial point in the phase plane. This mode depended on the equivalent control law performance. The second mode is the smoothing mode in which the variable state reached the sliding surface and tends towards the origin of the state plane. The dynamic in this mode is characterized by the best choice of the sliding surface. The third one is the permanent regime mode characterizing the system response around the state plane origin depended on control law robustness. So, two steps to be followed are the determination of the fictive sliding surface on which the objectives of the controls are achieved then calculating the control law which ensures the state trajectory surface achievement and maintains it on this surface until reaching the state equilibrium [16].
The sliding mode control (SMC) is a two steps design controller in which the system motion is composed of two phases. The former step is the design of a fictive sliding surface to which the system motion must reach and hold the desired performances on it. However, the latter step is the design of the control law which drives the system motion to the sliding surface and maintains it on thereafter until reaching the equilibrium point. The sliding mode controller is a quake reacting controller. Whereas, the most advantage of this control that is insensitive to uncertainties or disturbances present in the system because the control design forces the system whatever to attain the surface prescriptions.
Let consider the general presentation of a nonlinear dynamic system as
where
The sliding surface is presented as
Where
Furthermore, to push the dynamic motion to the sliding surface the following conditions must be satisfied
The solution of the equation is the equivalent control of the sliding mode given by
To assure the sliding mode existence (
Because of the discontinuity presented on the sliding surface when the system reaches it and the Cauchy-Lipschitz theorem of the ordinary differential equations cannot be used [17]. The solution describing the dynamic behavior in this zone is using several approaches as the Filippov approach [18] or the Utkin approach [19] or more others as [20]. The above condition results
From Eqs. (8) and (9) the sliding surface function and its derivative are of reverse sign and the second part of the sliding mode controller is given by
Where
Finally the sliding mode control law is presented as
Despite the claimed robustness properties of the sliding mode control, chattering is the harmful phenomenon affecting the control stability. This phenomenon is caused by the finite frequency oscillation of the switching part of the sliding controller. The presence of chattering in sliding mode control degrades the system accuracy and leads to the stability breaking and pushing the control to the divergence. Therefore, several researches and investigations focused on the chattering suppress methods and analysis. However, most of the chattering suppress methods consist of a continuous approximation of the discontinuous in the sliding surface neighborhood. The saturation is one of the main methods used in the chattering elimination in which a thin boundary layer around the surface is introduced defined as
The boundary layer attributes the solution continuity and pushes the system to converge to this bound. The size of this layer depended on the system precision and the control accuracy. Another way to overcome chattering consists of the switching gain adaptation depending on the performance control maintain.
The adaptation is the ability of the system to adjust itself to its environment. Being processed, the adaptive system compensates the performance by changing its parameters depending on the plant environment evolution. Although, all the automatic adjustments in real-time approaches are considered as adaptive approaches with which the desired performance is maintained despite the system changes in time. Nevertheless, the adaptation of the sliding mode controller attenuates both the discontinuity and the chattering problem effect by adjusting the adapted gain depending on the plant environment. Thus, the adaptive approach is proposed to the switching part of the sliding mode controller of Eq. (10) and the equivalent part of Eq. (7) is maintained.
The adaptation of the controller in sliding mode consists of modifying in real-time the limit of the sliding boundary layer. While, a large band allows the system to regain the sliding surface easily but it destabilizes the controller by the length jump of its excessive gain. On the other hand, a small band causes a difficulty for the system to regain the sliding surface but it stabilizes the controller by the short jump of its low gain. Therefore, the proposed adaptive part is written as
Consequently, the Eq. (12) becomes
Where
Where
The convergence of the proposed adaptation law is evaluated and proved using the mathematical stability analysis of Lyapunov. Wherefore, The Lyapunov candidate function is chosen as [16].
Where
Where
The first derivation of the candidate function can be presented as
From Eqs. (17), (18) and (20) the above equation becomes
Thus, the Eq. (21) becomes
With
In order to evaluate the proposed adaptive sliding mode controller, we considered a single degree of freedom system composed of a spring-mass-damper system presented in Figure 2. Moreover, the system can move in the horizontal direction only and the influence of the adaptive nonlinear control responses of the vibrating system is evaluated [21]. In this example, the response of the system to a constant reference with an initial condition is presented (i.e.
Single degree of freedom example.
The equilibrium force of the time-varying system is given by
Where
Introducing Eqs. (27)-(30) in Eq. (26) yields
Where
Using Eqs. (12) and (15) to calculate respectively the classical sliding mode control and the adaptive sliding mode control forces. Thus, the two cases are simulated and compared to evaluate the robustness of the two controllers. Thereby, the numerical simulation result presented in Figure 3 clearly shown the chattering reduction in the state plan response. This phenomenon is visibly reduced by using adaptive sliding mode control compared to the use of the classical sliding mode controller. Also, the adapted switching is clearly shown in the state plan presentation where the boundary layer thickness varied by the adaptation law depending on the required performance of the plant. Besides, the Figure 4 presented the compared numerical simulation results of the displacement responses function of time under the classical sliding mode control and the adaptive sliding mode control. Nonetheless, the displacement response of the system proves the performance of the adaptive nonlinear controller compared to the classical controller.
Numerical simulation result of the mass-spring example.
Displacement responses of the mass-spring example.
The previous example proved the efficiency of the used adaptive law to reinforce the control robustness. Otherwise, the applied load is a simple periodic load and the system is a simple system in which the switching output can be clearly shown in the state plan. In the present example, the three degrees of freedom system is considered under base excitation using earthquake records. This system is presented in Figure 5 and the dynamic motion is governed by the following equation [22].
Multiple degree of freedom example.
Where
Accordingly, the control example is achieved as presented in Figure 6 and the required control force is calculated in a closed-loop forcing the system to reach the equilibrium state.
Block diagram of the control system example.
The system is excited using the scaled time of the Tōhoku 2011 earthquake record illustrated in Figure 7.
The time scaled record of the 2011 Tōhoku earthquake.
Although, to prove the effectiveness of the proposed adaptive sliding mode controller to suppress the structural vibrations of the excited system the numerical simulation results of the controlled and the uncontrolled system are compared. The displacement responses of the first mass of the structure of the two cases controlled and uncontrolled are shown in Figure 8. However, the second and the third mass displacement responses of the compared cases of numerical simulation are presented respectively in Figures 9 and 10. In addition, the inter-mass drift responses of the three masses are depicted in Figure 11 in which the numerical simulation results of the uncontrolled system are compared to those of the adaptive controlled system. The adaptation of the switching gain value function of time under the 2011 Tōhoku earthquake excitation is presented in Figure 12.
The time displacement responses of the first mass under the 2011 Tōhoku earthquake.
The time displacement responses of the second mass under the 2011 Tōhoku earthquake.
The time displacement responses of the third mass under the 2011 Tōhoku earthquake.
The inter-mass drift responses under the 2011 Tōhoku earthquake.
The time adaptive gain variations under the 2011 Tōhoku earthquake.
From Figures 8-10 the displacement responses are clearly reduced under the earthquake excitation. The inter-mass drift responses depicted in Figure 11 show a remarkable reduction between the two cases controlled and uncontrolled systems. Moreover, the responses of the switching gain of the proposed adaptive law illustrated in Figure 12 show the dependence on the excitation. For example, in Figure 12 between 4 and 5s where the peak seismic acceleration is located the law augmented the gain to the maximum value to track the system state better.
Over and above, the proposed adaptive control is evaluated by the result values of the system control application in the above-mentioned example. Some indexes are calculated and regrouped in Table 1 to prove the robustness of the adaptive control to attenuate the excited system vibrations. The peak displacement reduction and the peak acceleration reduction of each mass are calculated and inserted in Table 1. Thereby, the peak inter-mass drift reduction is also needful to evaluate the proposed adaptive controller performance.
Index | Formula | Mass number | Value (%) |
---|---|---|---|
Peak | 1 | 65.33 | |
Displacement | 2 | 58.78 | |
Reduction | 3 | 62.98 | |
Peak | 1 | 00.92 | |
Acceleration | 2 | 02.79 | |
Reduction | 3 | 01.14 | |
Peak drift | 1–2 | 56.63 | |
Reduction | 2–3 | 54.17 |
Calculated control indexes of the adaptive sliding mode control under the 2011 Tōhoku earthquake excitation.
Where the index
The proposed adaptive sliding mode controller robustness had been proved in the present chapter using two numerical examples. Although, the single degree of freedom example excited by a simple periodic load shown clearly the Chattering reduction as a result of the adaptive law effect. The numerical simulation results of the state plan presentation shown the switching gain adaptation value depending on the excitation effect. Moreover, the second example is a three degree of freedom system excited using an earthquake excitation to assure the presence of multiple frequencies and amplitudes. As expected, the numerical simulation results of the example prove the efficiency of the proposed adaptive controller. The peak mass displacement ratio attained 65.33%, consequently, the peak inter-mass drift is reduced by 56.63%. The peak acceleration is sparsely reduced because the adaptive control is designed to track the displacement only. In this stage, the nonlinear adaptive controller proves its effectiveness and performance in addition to the insensitivity to uncertainties or disturbances and system stability.
Damping matrix
Damping or friction coefficient
Positive constant
Localized Uncertainty
Controlled inter-mass drift
Maximum uncontrolled inter-mass drift
Tracking error
Adaptive error
Function
External force
Damping force
Inertial force
Spring force
Control force
Sliding surface matrix
Function
Mass number index
Switching gain, Stiffness matrix
Adaptive switching gain
Amplified switching gain
Maximum value of the adaptive switching gain
Stiffness
Mass matrix
Mass
The system output
Adaptive sliding mode controller output
Sliding mode controller output
Equivalent output
Switching output
Adaptive switching output
Lyapunov candidate function
Displacement
Controlled mass displacement
Desired response
Velocity
Acceleration
Controlled mass acceleration
Maximum uncontrolled mass acceleration
Sliding surface
Boundary layer thickness
Partial derivative
Constant amplification
Convergence constant
Adaptive Sliding Mode Control
Sliding Mode Control
Saturation function
Signum function
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It represents the chemical yield of crosslinks, scissions and double bonds, etc. For the crosslinked polymer, the crosslinking density increases with increasing the radiation dose, this is reflected by the swelling degree of the polymer while being immersed in a compatible solvent. If crosslinking predominates, the crosslinking density increases and the extent of swelling decreases. If chain scission predominates, the opposite occurs. A further detailed discussion of these aspects is presented throughout this chapter.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Mohamed Mohamady Ghobashy",authors:[{id:"212371",title:"Dr.",name:"Mohamed",middleName:null,surname:"Mohamady Ghobashy",slug:"mohamed-mohamady-ghobashy",fullName:"Mohamed Mohamady Ghobashy"}]},{id:"32846",doi:"10.5772/36950",title:"Current Importance and Potential Use of Low Doses of Gamma Radiation in Forest Species",slug:"current-importance-and-potential-use-of-low-doses-of-gamma-radiation-in-forest-species",totalDownloads:5257,totalCrossrefCites:2,totalDimensionsCites:12,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"L. G. Iglesias-Andreu, P. Octavio-Aguilar and J. 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Radiation is proven as an effective method as a unique method to increase the genetic variability of the species. Gamma radiation is the most preferred physical mutagen by plant breeders. Several mutant varieties have been successfully introduced into commercial production by this method. Combinational use of in vitro tissue culture and mutation breeding methods makes a significant contribution to improve new crops. Large populations and the target mutations can be easily screened and identified by new methods. Marker assisted selection and advanced techniques such as microarray, next generation sequencing methods to detect a specific mutant in a large population will help to the plant breeders to use ionizing radiation efficiently in breeding programs.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Özge Çelik and Çimen Atak",authors:[{id:"147362",title:"Dr.",name:"Özge",middleName:null,surname:"Çelik",slug:"ozge-celik",fullName:"Özge Çelik"},{id:"147364",title:"Prof.",name:"Çimen",middleName:null,surname:"Atak",slug:"cimen-atak",fullName:"Çimen Atak"}]},{id:"58410",doi:"10.5772/intechopen.72074",title:"Radiation-Induced Degradation of Organic Compounds and Radiation Technologies for Purification of Aqueous Systems",slug:"radiation-induced-degradation-of-organic-compounds-and-radiation-technologies-for-purification-of-aq",totalDownloads:1387,totalCrossrefCites:7,totalDimensionsCites:11,abstract:"Environmental application of radiation technologies is an important part of radiation processing. Radiation treatment of aqueous systems contaminated with organic compounds is a promising method of water and wastewater purification and corresponding technologies are being developed. In this chapter, the following aspects of radiation treatment process are considered: sources of contamination and major contaminants of water and wastewater; primary processes in aqueous systems initiated by ionizing radiation; principal ways of contaminant conversion as consequences of primary processes (complete mineralization of organic compounds, partial decomposition of organic molecules resulted in detoxification, decolorization, disinfection of polluted water, and improvement in biological degradation of contaminant, polymerization of monomers’ contaminants, oxidation-reduction processes, and coagulation of colloids); sources of ionizing radiation; and main equipment applied in radiation technologies of aqueous system purification.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Igor E. Makarov and Alexander V. Ponomarev",authors:[{id:"213652",title:"Dr.",name:"Igor",middleName:null,surname:"Makarov",slug:"igor-makarov",fullName:"Igor Makarov"},{id:"213657",title:"Dr.",name:"Alexander",middleName:null,surname:"Ponomarev",slug:"alexander-ponomarev",fullName:"Alexander Ponomarev"}]}],mostDownloadedChaptersLast30Days:[{id:"32842",title:"Sterilization by Gamma Irradiation",slug:"sterilization-by-gamma-irradiation",totalDownloads:74725,totalCrossrefCites:36,totalDimensionsCites:82,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"Kátia Aparecida da Silva Aquino",authors:[{id:"102109",title:"Dr.",name:"Katia",middleName:"Aparecida Da S.",surname:"Aquino",slug:"katia-aquino",fullName:"Katia Aquino"}]},{id:"32837",title:"Environmental Gamma-Ray Observation in Deep Sea",slug:"environmental-gamma-ray-observation-in-deep-sea-",totalDownloads:2898,totalCrossrefCites:4,totalDimensionsCites:6,abstract:null,book:{id:"1590",slug:"gamma-radiation",title:"Gamma Radiation",fullTitle:"Gamma Radiation"},signatures:"Hidenori Kumagai, Ryoichi Iwase, Masataka Kinoshita, Hideaki Machiyama, Mutsuo Hattori and Masaharu Okano",authors:[{id:"108174",title:"Dr.",name:"Hidenori",middleName:null,surname:"Kumagai",slug:"hidenori-kumagai",fullName:"Hidenori Kumagai"},{id:"108237",title:"Dr.",name:"Masa",middleName:null,surname:"Kinoshita",slug:"masa-kinoshita",fullName:"Masa Kinoshita"},{id:"137650",title:"Dr.",name:"Ryoichi",middleName:null,surname:"Iwase",slug:"ryoichi-iwase",fullName:"Ryoichi Iwase"},{id:"137656",title:"Dr.",name:"Hideaki",middleName:null,surname:"Machiyama",slug:"hideaki-machiyama",fullName:"Hideaki Machiyama"},{id:"146918",title:"Dr.",name:"Mutsuo",middleName:null,surname:"Hattori",slug:"mutsuo-hattori",fullName:"Mutsuo Hattori"},{id:"146919",title:"Dr.",name:"Masaharu",middleName:null,surname:"Okano",slug:"masaharu-okano",fullName:"Masaharu Okano"}]},{id:"58998",title:"Ionizing Radiation-Induced Polymerization",slug:"ionizing-radiation-induced-polymerization",totalDownloads:1756,totalCrossrefCites:8,totalDimensionsCites:17,abstract:"Ionizing radiation can induce some kinds of reactions, other than polymerization, such as dimerization, oligomerization, curing, and grafting. These reactions occur through a regular radical chain causing growth of polymer by three steps, namely, initiation, propagation, and termination. To understand ionizing radiation-induced polymerization, the water radiolysis must be taken into consideration. This chapter explores the mechanism of water molecules radiolysis paying especial attention to the basic regularities of solvent radicals’ interaction with the polymer molecules for forming the crosslinked polymer. Water radiolysis is the main engine of the polymerization processes, especially the “free-radical polymerization.” The mechanisms of the free-radical polymerization and crosslinking will be discussed in detail later. Since different polymers respond differently to radiation, it is useful to quantify the response, namely in terms of crosslinking and chain scission. A parameter called the G-value is frequently used for this purpose. It represents the chemical yield of crosslinks, scissions and double bonds, etc. For the crosslinked polymer, the crosslinking density increases with increasing the radiation dose, this is reflected by the swelling degree of the polymer while being immersed in a compatible solvent. If crosslinking predominates, the crosslinking density increases and the extent of swelling decreases. If chain scission predominates, the opposite occurs. A further detailed discussion of these aspects is presented throughout this chapter.",book:{id:"6149",slug:"ionizing-radiation-effects-and-applications",title:"Ionizing Radiation Effects and Applications",fullTitle:"Ionizing Radiation Effects and Applications"},signatures:"Mohamed Mohamady Ghobashy",authors:[{id:"212371",title:"Dr.",name:"Mohamed",middleName:null,surname:"Mohamady Ghobashy",slug:"mohamed-mohamady-ghobashy",fullName:"Mohamed Mohamady Ghobashy"}]},{id:"53780",title:"Gamma-Ray Spectrometry and the Investigation of Environmental and Food Samples",slug:"gamma-ray-spectrometry-and-the-investigation-of-environmental-and-food-samples",totalDownloads:2477,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Gamma radiation consists of high‐energy photons and penetrates matter. This is an advantage for the detection of gamma rays, as gamma spectrometry does not need the elimination of the matrix. The disadvantage is the need of shielding to protect against this radiation. Gamma rays are everywhere: in the atmosphere; gamma nuclides are produced by radiation of the sun; in the Earth, the primordial radioactive nuclides thorium and uranium are sources for gamma and other radiation. The technical enrichment and use of radioisotopes led to the unscrupulously use of radioactive material and to the Cold War, with over 900 bomb tests from 1945 to 1990, combined with global fallout over the northern hemisphere. The friendly use of radiation in medicine and for the production of energy at nuclear power plants (NPPs) has caused further expositions with ionising radiation. This chapter describes in a practical manner the instrumentation for the detection of gamma radiation and some results of the use of these techniques in environmental and food investigations.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Markus R. 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Some candidates of the GeV counterpart of gamma-ray bursts, observed by Tupi telescopes, are also presented.",book:{id:"5451",slug:"new-insights-on-gamma-rays",title:"New Insights on Gamma Rays",fullTitle:"New Insights on Gamma Rays"},signatures:"Carlos Navia and Marcel Nogueira de Oliveira",authors:[{id:"189908",title:"Dr.",name:"Carlos",middleName:null,surname:"Navia",slug:"carlos-navia",fullName:"Carlos Navia"},{id:"243084",title:"MSc.",name:"Marcel",middleName:null,surname:"De Oliveira",slug:"marcel-de-oliveira",fullName:"Marcel De Oliveira"}]}],onlineFirstChaptersFilter:{topicId:"1220",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"25",title:"Environmental Sciences",doi:"10.5772/intechopen.100362",issn:"2754-6713",scope:"\r\n\tScientists have long researched to understand the environment and man’s place in it. 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\r\n\tThe four topics of this book series - Pollution; Environmental Resilience and Management; Ecosystems and Biodiversity; and Water Science - will address important areas of advancement in the environmental sciences. They will represent an excellent initial grouping of published works on these critical topics.