EPOCH 4 PLUS parameters.
Abstract
A methodology for identify damage in the fiber reinforced polymer (FRP) composite has been proposed in this article. The Lamb wave dispersion theory was used to find the fitted peak frequency and loss less finite element model was used to find the modal frequencies in the composite laminates. The change in modal parameters with respect to undamaged and damaged specimen has been considered for the structural diagnosis. The combined finite element and Lamb wave method has been used to obtain damping parameters. The damping capacity was calculated at higher frequency and smaller amplitudes by using hybrid method. The Lamb waves were generated using ultrasonic pulse generator setup. The proposed method was implemented on FRP laminates (CFRP and GFRP) and the results were compared with bandwidth method.
Keywords
- carbon fibers
- Lamb wave
- glass fibers
- vibration
- damping
- acoustic emission
1. Introduction
Composite materials with advanced properties like, high specific strength and fatigue resistance are being used for many components of aircraft structures in recent era. However, they have high chances of failure when they are subjected to low velocity-impact, which could lead to barely visible impact damage (BVID). BVID are considered to be internal defects which can lead to catastrophic accidents in service. Damage is defined as the changes introduced into a system that leads to affect adversely to its current or future performance. Damage assessment techniques in the structural dynamics have been divided into three categories such as linear, non-linear and transient vibrational measurements. The change in modal parameters such as natural frequencies and material damping can be considered as the prevalent damage detection methods in structural assessment procedure. The existing damage in a structure, leads to the reduction in stiffness and consequently decreasing of the natural frequencies of the system.
According to Doebling et al. [1] damage detection by using vibration measurement in elastomers has been first reported by Lifshitz and Rotem [2]. They used the changes in the dynamic moduli and change in the natural frequencies to detect damage.
Many researchers identified crack depth and location from the dependency of the first two structural Eigen frequencies and presented contour graph. The superposed contour of the frequencies variations between the undamaged and damaged structures is used to identification the damage. The intersection point of superposed contour allows identifying both the crack depth and location [3].
According to Gillich and Praisach [4] the change in damping and the friction between crack surfaces lead to dissipative effects. The advantages of using changes in damping is that the cracks allows changes in natural frequencies due to uncertainties and cause important changes in the damping factor allowing damage detection.
Kyriazoglou and Guild [5] predicted damping parameters of GFRP and CFRP laminates by using finite element model. Most of the damping related calculations and experiments were carried out by Berthelot and Sefrani [6, 7, 8] for various composites using Ritz Method. They have performed damping analysis of composite plate and structures by using this method [9, 10, 11].
Chen and Gibson [12] have studied damping mechanisms in composites which involves a variety of energy dissipation mechanisms. The vibrational parameters such as frequency and amplitude in fiber-reinforced polymers that depend on energy dissipation mechanisms are studied with nondestructive evaluation.
Many researchers have used nondestructive evaluation (NDE) techniques to characterize the fiber-reinforced composites [13, 14]. Energy dissipation theory has been used for measuring damping capacity based on vibration damping method.
Damping measurement techniques often deal with natural frequency or resonant frequency of a system. The experimental setup to find the vibration is categorized as free vibration (or free decay) and forced vibration. Free-free beam technique and the piezoelectric ultrasonic composite oscillator technique (PUCOT) are forced vibration techniques. Dynamic mechanical analysis (DMA) uses these techniques to find damping characteristics of the material. However, the instrument is relatively expensive and it cannot be operated at higher frequency and low amplitudes where more information from the tested materials can be obtained [15].
Guan and Gibson [16] have developed micromechanical models for damping in woven fabric-reinforced polymer matrix composites. Where as many other researchers has published results for continuous FRP composites that show damping characteristics of composite material come from microplastic or viscoelastic phenomena associated with the matrix and slippage at the interface between the matrix and the reinforcement [17, 18].
The article presents the methodology to find viscous damping, which is the dominant mechanism in FRP composites vibrating at small amplitudes. A hybrid method employing combined finite element and frequency response has been developed to measure the damping properties of composite material.
2. Experimental setup
2.1 Ultrasonic pulse generator
In this work the specimens are carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) laminates. The laminate contains woven fiber with 12 plays with average epoxy layer thickness of 0.2 mm. Figure 1 shows the specimen with the dimensions 250 × 50 × 2 mm in damaged state where a cut (30 × 2 × 2 mm) at a distance 120 mm away from free end has been introduced.

Figure 1.
Damaged specimen: (a) GFRP and (b) CFRP.
Figure 2 shows an experimental setup to develop Lamb waves using ultrasonic equipment NDT™ EPOCH 4PLUS. The specimen is supported as cantilever; pitch-catch radio frequency (RF) test method was used. Dual-element transducers (DIC-0408) where one element transmits and the other element receives the burst of acoustic waves generated in the specimen. 1 kHz to 4 MHz frequency range transducers was used and they were placed 80 mm apart from each other. Honey glycerine couplant made by Panametrics has been used to couple the two sensors on to the test specimen. The couplant helps to transmit a normal incident shear wave to propagate across the test piece between the transducer tips. Scanview plus™ software was used to acquire and process the data obtained from the test specimens [19, 20].

Figure 2.
Experimental setup.
2.2 Generation of optimal Lamb wave
Acoustic impedance of the material plays important role in deciding the selection of transducer frequency, low impedance require lower frequency transducers. The materials such as carbon fiber or glass fiber have low impedance thus low frequency transducers will be used to generate Lamb waves. Whereas metal skin layers have high impedance therefore higher frequencies transducers are used for thinner and metallic layers.
The Panametrics-NDT™ EPOCH 4 PLUS is used to generate acoustic waves and the device is equipped with four channels. Optimal Lamb wave propagation parameters were arrived through calibration of the device using editable parameters as shown in Table 1.
Editable parameters | |||||||
---|---|---|---|---|---|---|---|
Pulser | Mode Energy Wave Type Frequency |
Receiver | Gain Broad band Low pass High pass By pass |
Device | Unit Angle Thickness |
Waveform | Rang Rectification Offset |
Table 1.
The parameters have been varied one by one and arrived to a conclusion of optimal driving frequency for different specimens. Figure 3 shows the optimal driving frequency of different materials calibrated through ultrasonic pulse generator test setup. With the help fitted peak value and percentage amplitude at constant gain 55 (db) Lamb waves generation frequency is identified for different materials. Figure 4 shows the histogram representation of % amplitude of the waveform with a bin range of 0–820 kHz of pulser [21, 22]. The most effective range of frequencies to generate Lamb waves is 140–420 kHz. The frequency range to generate Lamb waves for GFRP is 170–190 kHz where as it is 260–280 kHz for CFRP and for Aluminum (Al) it is 360–380 kHz.

Figure 3.
Optimal driving frequency selection for different materials.

Figure 4.
Histogram representation of % amplitude of waveform at constant gain.
2.3 Material properties
The Young’s modulus for the specimens is calculated from Eq. 1, the calibrated experimental setup is used to generate Acoustic Emission (AE) on to the test specimen. AE velocities travelling in the material are determining from the instrument EPOCH 4 PLUS [22, 23].
where VL is longitudinal velocity of AE and VT is transverse velocity of AE traveling in the material respectively,

Table 2.
Material properties arrived from experimental setup.
3. Methodology
In this work a hybrid method has been proposed for identify change in damping capacity of a material using combined finite element and Lamb wave method. The process diagram of the hybrid method for the dynamic mechanical analysis is shown in Figure 5.

Figure 5.
Methodology chart for dynamic mechanical analysis by hybrid method.
The group velocity (
3.1 Lamb wave model for laminated composite plate
Lamb waves can be of two groups, symmetric and anti-symmetric, these waves propagate independently of the other and boundary conditions of the wave equation are being satisfied by both of them for this problem. Actuating frequency relating the velocity of Lamb wave propagation has been derived in the following section. Dispersion curves of Lamb wave in a particular material, which plot the phase and group velocities versus the excitation frequency given by Dalton et al. [24]. The anti-symmetric Lamb wave solution formulated as seen in Eq. 2:
individual laminate stress-strain relationship is given by
where
where
where plate thickness is represented by “
where
The extensional plate mode velocity is related to the in-plane stiffness of a composite [14].
The inplane stiffnesses
where
3.2 Finite element model for free vibration of a laminated composite plate
Natural frequency is the phenomenon that occurs with oscillatory motion at certain frequencies known as characteristic values, and it follows well defined deformation pattern known as mode shapes or characteristic modes. The study free vibration is important in finding the dynamic response of elastic structures. It is assumed that the external force vector
and the free vibration is given by:
where
where [
Figure 6 shows the plate bending formulation where

Figure 6.
Plate element with displacement degrees of freedom.
The plane displacement
In order to develop shape functions two different interpolations are used one interpolation within the
where
The relation between bending strains and transverse shear strain with respect to displacements is given by:
where
Substitution of Eqs. (18)–(20), into the Eqs. (25) and (26), with
where
where
The constitutive equation is
For the bending components
where
where Eq. (33) is for the plane stress condition for the plate bending theory and for a FRP composite, is given by
In which
And
Here, the longitudinal direction is represented with 1 and transverse direction is represented with 2 for the FRP composite. Further
The stiffness matrix of the element
where
Similarly the mass matrix is given by
where

Figure 7.
Undamaged GFRP specimen’s first and twentieth mode of natural frequency.

Figure 8.
Undamaged CFRP specimen’s first and twentieth mode of natural frequency.

Figure 9.
Damaged GFRP specimen’s first and twentieth mode of natural frequency.

Figure 10.
Damaged CFRP specimen’s first and twentieth mode of natural frequency.
3.3 Bandwidth method
The damping parameters in FRP composites are based on the energy dissipation mechanism. Vibrational parameters such as frequency and amplitude are used to determine the dynamic characteristics of a system. The best practice to study vibrational parameters is with nondestructive evaluation. Damping characteristics of a system can be determined by the maximum response, i.e., the response at the resonance frequency as indicated by the maximum value of

Figure 11.
Response curve showing bandwidth at half-power point.
for ith mode damping ratio is given by
The equation of motion of a system with viscous damping, when the excitation is a force
Eq. (48) represents the forced vibration of a damped system and the resulting motion occurs at the forcing frequency
4. Results and discussion
The phenomenon of change in modal parameters has been used to identify the damage in the specimens. The damage in the specimen is identified by change in damping capacity with respect to undamaged specimen. The first order Lamb wave equation is used to determine the storage modulus. Lamb wave propagating is quite complex to understand, i.e., an increase in modulus slightly speeds the wave velocity. An increase in the density would have the opposite effect slowing wave velocity, as it appears in all the same terms as the modulus but on the reciprocal side of the divisor.
The AE velocities of the specimens were arrived experimentally using ultrasonic pulse generator test setup and the engineering constants, Young’s modulus and poison’s ratio were calculated. The engineering constants are substituted in Lamb wave model discussed in previous sections for finding dispersion characteristics shown in Figure 12. The same material properties are used for finite element model to determine natural frequencies.

Figure 12.
Lamb wave dispersion curves of CFRP and GFRP.
The group velocity (
Damping is the term used in vibration and noise analysis to describe any mechanism whereby mechanical energy in the system is dissipated. The damping properties of so-called damping materials, such as elastomeric materials, are usually temperature and frequency dependent, so the experimental determination of damping material properties requires a long and repeating process.
In dynamic mechanical analysis damping measurements is done in temperature sweep mode whereas in this work frequency sweep mode is used. In the present work damping measurements were carried out using combined finite element and Lamb wave method and the results were compared with bandwidth method.
The modal analysis was carried out using developed finite element model and it was correlated with ANSYS. The waveform from the instrument is processed through virtual controlling software and the continuous waveform is subjected to fast Fourier transform (FFT) which yield a single peak from the calibrated optimal driving frequency, however for a few finite cycles, the FFT appears as a Gaussian curve. The response curve of the undamaged and damaged specimens being tested for damping capacity using bandwidth method is shown in Figure 13.

Figure 13.
Response curve of GFRP and CFRP showing bandwidth.
The Lamb wave dispersion curves have been obtained from the iterative supply of the frequency using MathematicaTH code. The group velocity dispersion curve of the specimens used in this research is shown in Figure 12. The group velocities and the natural frequencies obtained from modal analysis are used to determine damping capacity at various mode of interest.
Table 3 shows the damping capacities of the undamaged specimen in comparison at critical modes similarly for damaged specimen it has been reported in Table 4. It is observed that the natural frequencies of the damaged specimen fell down and the damping capacities have increased slightly with respect to undamaged specimens. Figure 14 shows the damping capacities and dynamic storage modulus of the tested specimens with respect to their natural frequencies. The material GFRP and CFRP exhibits similar damping property to a certain range of frequency, and in between 2 and 8 kHz GFRP has better damping property among the two and at higher range of frequencies CFRP is found to be good in damping characteristics.

Table 3.
Damping capacity of undamaged test specimens.

Table 4.
Damping capacity of damaged test specimens.

Figure 14.
Damping capacity and dynamic storage modulus for CFRP and GFRP.
5. Conclusions
Dynamic mechanical analysis is a technique used to study and characterize damping behavior of materials. It is most useful for studying the viscoelastic behavior of polymers. The tests were conducted on polymer composites CFRP and GFRP laminates in their undamaged and damaged state. A hybrid method has been explored in this work and the materials have been characterized for damping parameters at their mode frequencies. The change in the modal parameters (i.e., natural frequencies and damping capacity) can be used to identify and assesses the health of the structures. It is very advantageous method to obtain damping characteristics of the materials at higher frequency and at relatively low amplitudes.
References
- 1.
Doebling S, Farrar C, Prime M, Shevits D. Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review. USA: Los Alamos National Laboratory; 1996. pp. 1-136 - 2.
Lifshitz J, Rotem A. Determination of reinforcement unbonding of composites by a vibration technique. Journal of Composite Materials. 1969; 3 :412-423 - 3.
Das S, Saha P, Patro SK. Vibration-based damage detection techniques used for health monitoring of structures. A review. Journal of Civil Structural Health Monitoring. 2016; 6 :477-507 - 4.
Gillich GR, Praisach ZI. Modal identification and damage detection in beam-like structures using the power spectrum and time-frequency analysis. Signal Processing. 2014; 96 :29-44 - 5.
Kyriazoglou C, Guild FJ. Finite element prediction of damping of composite GFRP and CFRP laminates—A hybrid formulation-vibration damping experiments and Rayleigh damping. Composites Science and Technology. 2007; 67 :2643-2654 - 6.
Berthelot JM, Sefrani Y. Damping analysis of unidirectional glass and Kevlar fibre composites. Composites Science and Technology. 2004; 64 :1261-1278 - 7.
Berthelot JM. Damping analysis of orthotropic composites with interleaved viscoelastic layers: Modeling. Journal of Composite Materials. 2006; 40 (21):1889-1909 - 8.
Berthelot JM, Sefrani Y. Damping analysis of unidirectional glass fiber composites with interleaved viscoelastic layers: Experimental investigation and discussion. Journal of Composite Materials. 2006; 40 (21):1911-1932 - 9.
Mahi AE, Assarar M, Sefrani Y, Berthelot JM. Damping analysis of orthotropic composite materials and laminates. Composites Part B Engineering. 2008; 39 :1069-1076 - 10.
Berthelot JM. Damping analysis of laminated beams and plates using the Ritz method. Composite Structures. 2006; 74 :186-201 - 11.
Berthelot JM, Assarar M, Sefrani Y, Mahi AE. Damping analysis of composite materials and structures. Composite Structures. 2008; 85 :189-204 - 12.
Chen Y, Gibson RF. Analytical and experimental studies of composite isogrid structures with integral passive damping. Mechanics of Advanced Materials and Structures. 2003; 10 (2):127-143 - 13.
Montanari L, Basu B, Spagnoli A, Broderick BM. Damage assessment in a cracked fiber-reinforced cantilever beam using Wavelet-Kurtosis techniques. Key Engineering Materials. 2013; 569 :1226-1233 - 14.
Sharma DS, Mungla MJ, Barad KH. Vibration-based nondestructive technique to detect crack in multi-span beam. Nondestructive Testing and Evaluation. 2015; 30 :1-21 - 15.
Botelho EC, Pardini LC, Rezende MC. Damping behavior of continuous fiber/metal composite materials by the free vibration method. Composites Part B Engineering. 2006; 37 :255-264 - 16.
Guan H, Gibson RF. Micromechanical models for damping in woven fabric-reinforced polymer matrix composites. Journal of Composite Materials. 2001; 35 (16):1417-1434 - 17.
Mu B, Wu HC, Yan A, Warnemuende K, Fu G, Gibson RF, Kim DW. FEA of complex bridge system with FRP composite deck. Journal of Composites for Construction. 2006; 10 (1):79-86 - 18.
Cao MS, Sha GG, Gao YF, Ostachowicz W. Structural damage identification using damping: A compendium of uses and features. Smart Materials and Structures. 2017; 26 (4):043001 - 19.
Ben BS, Ratnam C, Ben BA, Yang SH. Ultrasonic based method for damage identification in composites materials. International Journal of Mechanics and Materials in Design. 2012; 8 :297-309 - 20.
Ben BS, Ratnam C, Ben BA, Yang SH. Ultrasonic based structural damage detection using combined finite element and model Lamb wave propagation parameters in composite materials. International Journal of Advanced Manufacturing Technology. 2013; 67 :1847-1856 - 21.
Ben BS, Ratnam C, Ben BA, Vikram KA, Yang SH. Damage identification in composite materials using ultrasonic based Lamb wave method. Measurement. 2013; 46 :904-912 - 22.
Ben BS, Ben BA, Kweon SH, Yang SH. Structural damping of composite materials using combined FE and Lamb wave method. Structural Engineering and Mechanics. 2014; 51 :1047-1065 - 23.
Ratnam C, Ben BS, Ben BA. Structural damage detection using combined finite element and model Lamb wave propagation parameters. Journal of Mechanical Engineering Science Part C. 2009; 223 :769-777 - 24.
Dalton RP, Cawley P, Lowe MJS. The potential of guided waves for monitoring large areas of metallic aircraft fuselage structure. Journal of Nondestructive Evaluation. 2001; 20 :29-46 - 25.
Blake RE. Basic vibration theory. In: Piersol AG, Paez TL, editors. Harris’ Shock and Vibration Handbook. 6th ed. New York: Mc-Graw Hill; 2010