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Combined analytical FEM approach for efficient simulation of Lamb wave damage detection Yanfeng Shen a,, Victor Giurgiutiu b a University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China b Department of Mechanical Engineering, University of South Carolina, 29208, USA article info Article history: Received 4 July 2014 Received in revised form 10 November 2015 Accepted 29 March 2016 Available online 1 April 2016 Keywords: Guided waves Damage detection Hybrid modeling Finite element method Structural health monitoring Nondestructive evalucation abstract Lamb waves have been widely explored as a promising inspection tool for non-destructive evaluation (NDE) and structural health monitoring (SHM). This article presents a combined analytical finite element model (FEM) approach (CAFA) for the accurate, efficient, and versatile simulation of 2-D Lamb wave propagation and interaction with damage. CAFA used a global analytical solution to model wave gener- ation, propagation, scattering, mode conversion, and detection, while the wave-damage interaction coefficients (WDICs) were extracted from harmonic analysis of local FEM with non-reflective boundaries (NRB). The analytical procedure was coded using MATLAB, and a predictive simulation tool called WaveFormRevealer 2-D was developed. The methodology of obtaining WDICs from local FEM was presented. Case studies were carried out for Lamb wave propagation in a pristine plate and a damaged plate. CAFA predictions compared well with full scale multi-physics FEM simulations and experiments with scanning laser Doppler vibrometry (SLDV), while achieving remarkable performance in computa- tional efficiency and computer resource saving compared with conventional FEM. Ó 2016 Elsevier B.V. All rights reserved. 1. Introduction The development of computational models for Lamb wave propagation and its interaction with damage is of great importance for SHM system design and sensing signal interpretation. Effective design of SHM systems requires the exploration of a wide range of parameters (transducer size, sensor-damage relative locations, interrogating wave characteristics, etc.) to achieve best detection and quantification of certain types of damage. On the other hand, active sensing signals using Lamb waves are usually hard to interpret due to the multi-mode, dispersive nature of Lamb waves and their interaction with damage, involving complicated scattering and mode conversion phenomena. Practical applications have imposed three main requirements on the computational models for Lamb wave propagation: (1) accuracy for high fre- quency, short wavelength, and long propagation distance waves; (2) efficiency in terms of computational time and computer resources; (3) versatility for exploring a wide range of design parameters. However, commercial simulation tools cannot satisfy all these requirements. 1.1. Piezoelectric wafer active sensors In this study, we used the piezoelectric wafer active sensors (PWAS) as an enabling device for generating Lamb waves in the host structures. PWAS have been widely used in SHM for generat- ing and receiving ultrasonic waves [1]. They couple the electrical and mechanical effects (mechanical strain, S ij , mechanical stress, T kl , electrical field, E k , and electrical displacement, D j ) through the tensorial piezoelectric constitutive equations S ij ¼ s E ijkl T kl þ d kij E k D j ¼ d jkl T kl þ e T jk E k ð1Þ where s E ijkl is the mechanical compliance of the material measured at zero electric field (E ¼ 0), e T jk is the dielectric permittivity measured at zero mechanical stress (T ¼ 0), and d jkl represents the piezoelec- tric coupling effect. PWAS utilize the d 31 coupling between in-plane strains, S 1 , S 2 and transverse electric field E 3 . Compared with conventional ultrasonic transducers, PWAS are small, lightweight, low cost, and unobtrusive. They can be perma- nently bonded on host structures and achieve real-time active sensing and in-situ monitoring of engineering structures. PWAS can serve several purposes: (a) high-bandwidth strain sensors; (b) high-bandwidth wave exciters and receivers; (c) resonators; http://dx.doi.org/10.1016/j.ultras.2016.03.019 0041-624X/Ó 2016 Elsevier B.V. All rights reserved. Corresponding author. Ultrasonics 69 (2016) 116–128 Contents lists available at ScienceDirect Ultrasonics journal homepage: www.elsevier.com/locate/ultras

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Page 1: Combined analytical FEM approach for efficient simulation ... · Combined analytical FEM approach for efficient simulation of Lamb wave damage detection Yanfeng Shena,⇑, Victor

Ultrasonics 69 (2016) 116–128

Contents lists available at ScienceDirect

Ultrasonics

journal homepage: www.elsevier .com/ locate/ul t ras

Combined analytical FEM approach for efficient simulation of Lambwave damage detection

http://dx.doi.org/10.1016/j.ultras.2016.03.0190041-624X/� 2016 Elsevier B.V. All rights reserved.

⇑ Corresponding author.

Yanfeng Shen a,⇑, Victor Giurgiutiu b

aUniversity of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, ChinabDepartment of Mechanical Engineering, University of South Carolina, 29208, USA

a r t i c l e i n f o a b s t r a c t

Article history:Received 4 July 2014Received in revised form 10 November 2015Accepted 29 March 2016Available online 1 April 2016

Keywords:Guided wavesDamage detectionHybrid modelingFinite element methodStructural health monitoringNondestructive evalucation

Lamb waves have been widely explored as a promising inspection tool for non-destructive evaluation(NDE) and structural health monitoring (SHM). This article presents a combined analytical finite elementmodel (FEM) approach (CAFA) for the accurate, efficient, and versatile simulation of 2-D Lamb wavepropagation and interaction with damage. CAFA used a global analytical solution to model wave gener-ation, propagation, scattering, mode conversion, and detection, while the wave-damage interactioncoefficients (WDICs) were extracted from harmonic analysis of local FEM with non-reflective boundaries(NRB). The analytical procedure was coded using MATLAB, and a predictive simulation tool calledWaveFormRevealer 2-D was developed. The methodology of obtaining WDICs from local FEM waspresented. Case studies were carried out for Lamb wave propagation in a pristine plate and a damagedplate. CAFA predictions compared well with full scale multi-physics FEM simulations and experimentswith scanning laser Doppler vibrometry (SLDV), while achieving remarkable performance in computa-tional efficiency and computer resource saving compared with conventional FEM.

� 2016 Elsevier B.V. All rights reserved.

1. Introduction

The development of computational models for Lamb wavepropagation and its interaction with damage is of great importancefor SHM system design and sensing signal interpretation. Effectivedesign of SHM systems requires the exploration of a wide range ofparameters (transducer size, sensor-damage relative locations,interrogating wave characteristics, etc.) to achieve best detectionand quantification of certain types of damage. On the other hand,active sensing signals using Lamb waves are usually hard tointerpret due to the multi-mode, dispersive nature of Lamb wavesand their interaction with damage, involving complicatedscattering and mode conversion phenomena. Practical applicationshave imposed three main requirements on the computationalmodels for Lamb wave propagation: (1) accuracy for high fre-quency, short wavelength, and long propagation distance waves;(2) efficiency in terms of computational time and computerresources; (3) versatility for exploring a wide range of designparameters. However, commercial simulation tools cannot satisfyall these requirements.

1.1. Piezoelectric wafer active sensors

In this study, we used the piezoelectric wafer active sensors(PWAS) as an enabling device for generating Lamb waves in thehost structures. PWAS have been widely used in SHM for generat-ing and receiving ultrasonic waves [1]. They couple the electricaland mechanical effects (mechanical strain, Sij, mechanical stress,Tkl, electrical field, Ek, and electrical displacement, Dj) throughthe tensorial piezoelectric constitutive equations

Sij ¼ sEijklTkl þ dkijEk

Dj ¼ djklTkl þ eTjkEkð1Þ

where sEijkl is the mechanical compliance of the material measured at

zero electric field (E ¼ 0), eTjk is the dielectric permittivity measuredat zero mechanical stress (T ¼ 0), and djkl represents the piezoelec-tric coupling effect. PWAS utilize the d31 coupling between in-planestrains, S1, S2 and transverse electric field E3.

Compared with conventional ultrasonic transducers, PWAS aresmall, lightweight, low cost, and unobtrusive. They can be perma-nently bonded on host structures and achieve real-time activesensing and in-situ monitoring of engineering structures. PWAScan serve several purposes: (a) high-bandwidth strain sensors;(b) high-bandwidth wave exciters and receivers; (c) resonators;

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Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 117

(d) embedded modal sensors with the electromechanical (E/M)impedance method. By application types, PWAS transducers canbe used for (i) active sensing of far-field damage using pulse-echo, pitch-catch, and phased-array methods, (ii) active sensingof near field damage using high-frequency E/M impedance methodand thickness gage mode, and (iii) passive sensing of damage-generating events through detection of low-velocity impacts andacoustic emission at the tip of advancing cracks.

1.2. State of the art

Research has been conducted on analytical models of PWAS-generated Lamb waves and the tuning effect between PWAS trans-ducers and host structures [1,2]. These models only consider thewave propagation in pristine structures, whereas the design ofSHM systems requires research into wave-damage interaction. Inour previous study, we proposed an analytical parametric modelfor 1-D Lamb wave propagation with damage effects, but thismodel has two limitations: (1) 1-D formulation cannot accuratelycapture the 2-D outward propagation pattern in practical applica-tions; (2) the WDICs cannot be determined quantitatively [3].

Regarding the aspect of wave-damage interaction, manyresearchers have developed analytical models using Kirchhoff,Mindlin, Kane–Mindlin plate theory, and 3-D elasticity solution orexact Lamb mode solutions [4–11], while others have adoptednumerical methods such as finite element method (FEM) [12,13],boundary element method (BEM) [14,15], spectral element method(SEM) [16], and finite difference method (LISA) [17,18]. The advan-tage of analyticalmodels is that they are accurate, efficient, and cap-able of providing fast parametric studies, but the drawback is thatthey only apply to simple damage geometries such as circular holes,partial-through circular holes, or flat-bottom cavities. Theadvantage of numerical methods is that they can simulate wave-damage interaction phenomena for very complicated damagegeometries; however, these methods usually require the discretiza-tion of the analyzed domain and the time marching procedure. Forsuch high frequency, short wavelength, and long propagationdistance wave simulations, considerably small time marching stepand dense discretization are required to obtain an accurate solution,which can make the target problem computationally prohibitive.

To make the computational load manageable, small-sizenumerical methods have been developed. Distributed point sourcemethod (DPSM) calculates wave generation and scattering in ahighly efficient manner [19,20]. But one needs to evaluate the com-plicated Green’s matrices of a dynamic system. Hybrid modelingtechniques have been proposed to develop efficient simulationschemes. The semi-analytical finite element (SAFE) method hasbeen used to combine with local FEM to simulate wave interactionwith damage in 1-D wave propagation problems, but 2-D Lambwave propagationmodels have not been achieved [21–23]. Promis-ing results by combining analytical solution with local FEM havebeen achieved for bulk wave scattering from an axisymmetricinclusion and Lamb wave interaction with cracks in rivet holes[24,25]. Terrien et al. investigated the optimization of hidden cor-rosion detection in aircraft structures using Lamb waves [26]. Intheir study, they combined a local 2-D FEM with global 1-D wavemodal decomposition to predict the structural response. However,these studies considered only bulk waves or single symmetricLamb mode interaction with damage, and used conventionalwedge transmitters and bulky accelerometers as receivers to pickup the out-of-plane acceleration associated with the wave motion.They further require the solution matching at each node at thelocal FEM boundary, which demands specialist finite elementcodes, making them hard to benefit wide engineering applications.Moreau and Castaings have used orthogonally relation to reducethe size of FEM to obtain 3-D guided wave scattering features

[27]. Gresil and Giurgiutiu investigated the hybrid analytical FEMmodeling concept in time domain, and achieved promising results[28,29]. Obenchain et al. used a hybrid global matrix/LISA formodeling wave propagation in composites [30]. Zhang et al. usedthe hybrid modeling concept to model the performance of ultra-sonic arrays for bulk wave inspection [31]. Velichko and Wilcoxapplied similar hybrid approach to model guided wave propaga-tion and scattering in pipes, constructing an inverse problem topost-process guided wave array data for damage imaging [32].Recently, the development of local FEM techniques allows us toconveniently study the ultrasonic scattering and mode conversionphenomena in bulk wave and guided waves from complicated 3-Ddamage [33–37].

In this study, we developed a Combined Analytical FEMApproach (CAFA) for the special treatment of efficiently simulatingPWAS-generated 2-D Lamb wave propagation and interaction withdamage. Admittedly, the analytical model of 2-D guided wavegeneration and propagation has been reported in a number ofliteratures in the form of time-harmonic solution [1,2]. However,the illustration of detailed steps to obtain the time domain solu-tions under an arbitrary excitation and the insertion of damageeffects into such PWAS-generated 2-D Lamb wave analytical modelhas not been systematically addressed. We are not trying to com-pare with other methods such as DPSM, LISA and SAFE; instead, weaim to combine mature techniques such as the analytical approachand the local FEM into a complete and systematic model. Theultimate goal is to obtain fast predictions of time–space domainfull field sensing signals and achieve efficient SHM system design.Further, we developed WaveFormRevealer 2-D as a user-friendlysimulation tool for the realization of CAFA.

2. Overview of CAFA

Fig. 1 shows the schematic for CAFA. Lamb wave generation,propagation, damage interaction (scattering, mode conversion),and detection are modeled using the exact analytical expressions,while the wave-damage interaction coefficients (WDICs) areextracted from the harmonic analysis of small-size local FEM withNRB. CAFA couples the global analytical wave expression with thelocal FEM solution through WDICs. It combines the virtues of bothanalytical and numerical methods: the analytical formulationprovides high computational efficiency, a wide parameter explo-ration capability, and excellent accuracy, while FEM has the abilityto simulate damage with complicated geometries.

3. Analytical framework for lamb wave active sensing

In this section, we will present the methodology for modelingdamage effects, and the steps required to construct the analyticalframework for PWAS-generated 2-D Lamb wave propagation andinteraction with damage.

3.1. Modeling of damage effects using complex-valued WDIC

In an active sensing approach using PWAS and scanning laserDoppler vibrometry (SLDV), the transmitter PWAS (T-PWAS) gen-erates Lamb waves into the host structure under electrical excita-tion. Lamb waves propagate along the structure, interact with thedamage, undergo scattering and mode conversion, and are finallypicked up by the SLDV, which measures the out-of-plane particlevelocity at the surface of the structure.

In the analytical framework, the received signal is comprised oftwo parts: (1) direct incident waves from the T-PWAS; (2) scat-tered waves from the damage. Thus, the damage can be modeledas a secondary wave source. The total wave field WTOTAL is the

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PWAS

Damage

Sensing point

Lamb Wave Generation

Lamb Wave Propagation

Wave-Damage Interaction:Scattering, Mode Conversion

Lamb Wave Propagation

Lamb Wave Detection

Complex-valued WDICs

Analytical Framework in Frequency Domain

Local FEMHarmonic Analyses

RD

RIN

RSC

CAB (ω,θ)e–iφAB(ω,θ)

θ

Fig. 1. Overview of Combined Analytical FEM Approach (CAFA).

118 Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128

superposition of the incident wave field WIN and the scatteredwave field WSC from the damage.

WTOTAL ¼ WIN þWSC ð2ÞWe used frequency and direction dependent complex-valued

WDICs CABðx; hÞe�iuABðx;hÞ to model the scattering and mode conver-sion phenomena of wave-damage interaction. These WDICs arecapable of describing the amplitude and phase of the scatteredwaves as a function of frequency and direction. Our notations areas follows: two letters are used to describe the interactionphenomena, with the first letter A denoting the incident wavetype, and the second letter B standing for the resulting wavetype. For instance, SS (symmetric-symmetric) means the incidentsymmetric waves are scattered as symmetric waves, SA(symmetric-antisymmetric) means incident symmetric waves arescattered and mode converted to antisymmetric waves, and SSH(symmetric-shear horizontal) means incident symmetric wavesare scattered and mode converted to shear horizontal waves. Thus,WDIC CSSðx; hÞe�iuSSðx;hÞ denotes the scattered symmetric modegenerated by incident symmetric mode with amplitude ratioCSSðx; hÞ and phase shift uSSðx; hÞ. Similarly, CSAðx; hÞe�iuSAðx;hÞ rep-resents the scattered antisymmetric mode generated by incidentsymmetric mode with amplitude ratio CSAðx; hÞ and phase shiftuSAðx; hÞ. CSSHðx; hÞe�iuSSHðx;hÞ stands for the scattered shearhorizontal mode generated by incident symmetric mode withamplitude ratio CSSHðx; hÞ and phase shift uSSHðx; hÞ. x is the wavecomponent frequency and h represents the scattering angle withrespect to the incident wave direction. These coefficients are deter-mined by damage features and are calculated from the small-sizelocal FEM harmonic analysis, which will be introduced later.

3.2. 2-D analytical framework construction

The analytical model was constructed in frequency domainbased on the exact 2-D Lamb wave solution in the following steps:

STEP 1: Perform Fourier transform of the time-domain excita-tion signal VTðtÞ to obtain the frequency domain excitationspectrum, ~VTðxÞ.STEP 2: Calculate structure transfer function. Detailed analyticalderivation of 2-D Lamb waves generated by a circular transmit-ter PWAS is given in Ref. [1].

urðr; t;xÞjz¼d ¼ �pi a2sa2l

XnS

J1ðnSaÞNSðnSÞD0

SðnSÞHð1Þ

1 ðnSrÞe�ixt

� pi a2sa2l

XnA

J1ðnAaÞNAðnAÞD0

AðnAÞ Hð1Þ1 ðnArÞe�ixt ð3Þ

In Eq. (3), the frequency x acts as a parameter. The componentfunctions of Eq. (3) are defined as

NSðnÞ ¼ ngSðn2 þ g2S Þ cosgPd cosgSd

NAðnÞ ¼ �ngSðn2 þ g2S Þ singPd singSd

DS ¼ ðn2 � g2S Þ

2cosgPd singSdþ 4n2gPgS singPd cosgSd

DA ¼ ðn2 � g2S Þ

2singPd cosgSdþ 4n2gPgS cosgPd singSd

ð4Þ

where a is the radius of the circular PWAS, d is half plate thickness,and r is the distance between the point of interest and T-PWAS. sarepresents shear stress between the transducer and host structureand l denotes the shear modulus of the structure. J1 is Bessel func-tion of order one, which captures the tuning effect between PWAS

and the host structure. Hð1Þ1 is the Hankel function of the first kind

and order one, which represents an outward propagating 2-D wavefield. n is the frequency dependent wavenumber calculated from theRayleigh–Lamb equation [38,39]:

tangSdtangPd

¼ �4gPgSn2

ðn2�g2SÞ2

� ��1

g2P ¼ x2

c2P� n2; g2

S ¼ x2

c2S� n2; cP ¼

ffiffiffiffiffiffiffiffikþ2lq

q; cS ¼

ffiffiffilq

q ð5Þ

where +1 exponent corresponds to symmetric Lamb wave modesand �1 exponent corresponds to antisymmetric Lamb wave modes.cP and cS represent the P-wave speed and S-wave speed; k is Lame’sconstant of the structural material; q is the material density. Thetransfer function of the transducer, jPWASðxÞ, which converts theapplied voltage ~VTðxÞ into the shear stress sa, is given by

jPWASðxÞ ¼ d31

sE11

rðxÞ1� rðxÞ ð6Þ

where rðxÞ is the stiffness ratio between host structure andT-PWAS [40].

At a given excitation frequency x, Eq. (5) yields a multitude ofsymmetric (S) and antisymmetric (A) wavenumbers nS, nA whichare used in calculating the summations contained in Eq. (3).Substitution of Eq. (6) into Eq. (3) and division by e�ixt yields thestructural transfer function that can be separated, for convenience,into S and A parts, i.e.,

GSðx; rÞ ¼ �pi a2jPWASðxÞ

2lXnS

J1ðnSaÞNSðnSÞD0

SðnÞHð1Þ

1 ðnSrÞ ð7Þ

GAðx; rÞ ¼ �pi a2jPWASðxÞ

2lXnA

J1ðnAaÞNAðnAÞD0

AðnÞHð1Þ

1 ðnArÞ ð8Þ

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Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 119

STEP 3: Multiply the structure transfer function by thefrequency-domain excitation signal to obtain the direct incidentwaves at the sensing location, where the distance RIN fromPWAS up to the sensing location is used. Similarly, multiplythe structure transfer function up to the damage location bythe frequency-domain excitation signal to obtain the interro-gating waves arriving at the damage, where the distance RD

from PWAS up to the damage location is used.

uINðx;RINÞ ¼ ~VTðxÞ½GSðx;RINÞ þ GAðx;RINÞ� ð9Þ

uDðx;RDÞ ¼ ~VTðxÞ½GSðx;RDÞ þ GAðx;RDÞ� ð10ÞIt can be noticed that the Lambmodes propagate independently

and the direct incident wave field is the superposition of each wavemode.

STEP 4: Scattering wave source at the damage location isobtained by modifying incident waves at the damage withWDICs.

uSN ¼ CSSðx; hÞe�iuSSðx;hÞuS

D þ CASðx; hÞe�iuASðx;hÞuAD ð11Þ

uAN ¼ CSAðx; hÞe�iuSAðx;hÞuS

D þ CAAðx; hÞe�iuAAðx;hÞuAD ð12Þ

uSHN ¼ CSSHðx; hÞe�iuSSHðx;hÞuS

D þ CASHðx; hÞe�iuASHðx;hÞuAD ð13Þ

where uSN , u

AN , and uSH

N represent the damage scattered S0, A0, andSH0 wave sources respectively. It should be stated clearly that, inthis study, we focused our attention on fundamental Lamb modes(S0 and A0) and fundamental shear horizontal mode (SH0), ascorresponding to guided wave propagation in thin-wall structuresbelow the A1 and SH1 cut-off frequencies. The extension of ourapproach to higher modes will be done in a future study. Thesescattered waves are transferred from damage up to the sensingpoint. The 2-D Lamb wave field eradiating from a point source takesthe following solution in the cylindrical coordinate system withrespect to the damage location [20,1]:

ur ¼X1n¼1

aLambn ðzÞHð1Þ

1 ðnLambn rÞe�ixt ; uh ¼

X1n¼1

aSHn ðzÞHð1Þ0 ðnSHn rÞe�ixt

ð14Þ

where aLambn ðzÞ and aSHn ðzÞ are the thickness dependent mode shapes

for Lamb waves and shear horizontal waves of wave mode numbern. Since the amplitude relationship between the incident waves andthe scattered waves is enclosed in the WDICs, the transfer function

from the damage up to the sensing point are simply Hð1Þ1 ðnRSCÞ for

Lamb waves and Hð1Þ0 ðnRSCÞ for shear horizontal waves. RSC is the

distance from the damage up to the sensing location. Thus, the scat-tered S0, A0, and SH0 waves arriving at the sensing point can becalculated.

uSSC ¼ uS

NHð1Þ1 ðnSRSCÞ; uA

SC ¼ uANH

ð1Þ1 ðnARSCÞ; uSH

SC ¼ uSHN Hð1Þ

0 ðnSHRSCÞð15Þ

STEP 5: The total wave field at the sensing location is the super-position of the direct incident waves calculated from Eq. (9) andthe scattered waves calculated from Eq. (15).

uTOTAL ¼ ðuSIN þ uA

INÞ þ ðuSSC þ uA

SC þ uSHSC Þ ð16Þ

It should be noted that the total wave field obtained in Eq. (16)is the in-plane wave displacement. Since SLDV measures out-of-plane particle velocity, we need to convert this in-plane wavemotion into out-of-plane wave motion.

STEP 6: The out-of-plane displacement wave field can beobtained by the modeshape component ratio.

uSz ¼ uS

rUS

zðx;dÞUS

r ðx;dÞ ; uAz ¼ uA

rU A

z ðx;dÞUA

r ðx;dÞ ; uSHz ¼ uSH

h

USHz ðx;dÞ

USHh ðx;dÞ ð17Þ

where USr ; U

Sz ; U

Ar ; U

Az ; U

SHh ; USH

z are Lamb wave and shear horizon-tal modeshape displacement components evaluated at the top sur-face of the structure. The modeshape solutions can be found in Ref.[1]. The out-of-plane velocity was calculated by differentiating theout-of-plane displacement with respect to time. Through thisdifferentiation, the wave amplitude will be modified by a factor of�ix as shown in Eq. (18).

U ¼ u � e�ixt;@U@t

¼ @ðu � e�ixtÞ@t

¼ �ix � U ð18Þ

Thus, the solution for out-of-plane velocity in frequency domaincan be obtained in the following form.

_uzðx;RD;RSC ; hÞ ¼ �ix � uz ð19ÞSTEP 7: Perform inverse Fourier transform to obtain the timedomain sensing signal.

_uzðt;RD;RSC ; hÞ ¼ IFFT½ _uzðx;RD;RSC ; hÞ� ð20ÞIn this study, we focused our attention on fundamental Lamb

modes (S0 and A0) and fundamental shear horizontal mode(SH0), which find the widest application in Lamb wave basedSHM. However, higher orders of Lamb modes (S1, A1, S2, A2,etc.) as well as shear horizontal (SH1, SH2, etc.) modes may alsoresult from the wave-damage interaction if the damage has anarbitrary non-symmetric shape. The local FEM technique devel-oped in this study were used to project the FEM response ontothe S0, A0, SH0 modes and thus determine the WDICs resultingfrom the interaction between incident S0 or A0 modes with thespecific damage. (It should be noted that we did not include thecase of an incident SH0 wave mode in our 3-D local FEM analysisbecause a circular PWAS transmitter cannot generate SH waves.However, scatter SH waves may result from the damage interac-tion process through mode conversion.) It should also be pointedout that, for model validation purpose, we used SLDV whichmeasures the out-of-plane velocity of the wave field. Thus, thescattered SH waves, which do not have out-of-plane motion,cannot be captured.

4. Analytical predictive tool development: WaveFormRevealer2-D

The analytical model is a general description of wave genera-tion, propagation, damage interaction, and detection. Parameterexploration is made possible for transmitter PWAS size, structurematerial and thickness, sensor-damage locations, and arbitraryexcitations, etc. This analytical framework was coded usingMATLAB, and a graphical user interface (GUI) called WaveFormRe-vealer 2-D (WFR-2D) was developed.

Fig. 2a shows the WFR-2D main interface which calculates thereal-time sensing signals as well as dispersion curves and tuningcurves. The parameter control panel allows users to modify hoststructure material properties, thickness, and transmitter-damage-sensing locations. The excitation control panel provides excitationwaveform, frequency, and arbitrary excitation loading options.Users can also selectively choose the excited wave mode of inter-est. Fig. 2b shows the damage information platform for inputtingwave-damage interaction coefficients (WDICs). Fig. 2c and d showthe sub-interfaces for loading S0 and A0 WDICs. The PWAS proper-ties module allows users to define PWAS geometric and material

Page 5: Combined analytical FEM approach for efficient simulation ... · Combined analytical FEM approach for efficient simulation of Lamb wave damage detection Yanfeng Shena,⇑, Victor

Fig. 2. GUI of WFR-2D: (a) WFR-2D main interface; (b) damage information platform; (c) S0 WDICs module; (d) A0 WDICs module; (e) T-PWAS properties module; (f) spatialpropagation solver.

120 Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128

properties (Fig. 2e). The spatial propagation solver, shown inFig. 2f, is like a C-scan, which calculates the transient time–spacedomain wave field.

Users can visualize wave propagation and interaction withdamage easily with the animation functions offered by WFR. Addi-tionally, all the calculation data is available for user analysis withthe data saving functions. The WFR approach is fast and efficientand can be used for SHM system design studies. Commercial FEMsoftware codes may take tens of hours to predict accurately theultrasonic 3-D wave-propagation response at practical locationsaway from the source. The WFR approach does this much faster:two or three hours for local FEM scatter calculation and only afew seconds for propagating the response from the scatter to thereceiver PWAS. With this analytical tool, an increase in computa-tional efficiency can be achieved for exploring a large number ofSHM design parameters.

5. Extraction of WDIC from local FEM

The extraction of WDICs is the key for CAFA. To obtain thesefrequency and direction dependent complex-valued coefficients,harmonic analysis of local FEM were carried out.

5.1. Small-size local FEM

In this study, commercial finite element package ANSYS 14 wasused to implement and realize the local FEM model. Non-reflectiveboundaries (NRB) are used in the FEM harmonic analysis to simu-late continuous harmonic waves which are incident to a region ofinterest, as well as waves scattering from an arbitrary damage[33–36,41]. This analysis can be performed for any specific

frequency of interest. The steady-state amplitude and phase infor-mation facilitate the extraction of WDICs. It should be pointed outthat the model described in Ref. [33] allows the extraction of allscattering information from only one FE model. In this research,however, we tailored the local FEM procedure to better integratewith our global analytical framework. And to obtain the relativerelationship of amplitude and phase between a certain incidentwave mode and the scattered waves at the damage location, weconstructed two models with one pristine and one damaged toextract the scattering features in a straight forward manner. It isalso important to state clearly that this study only focuses onPWAS-generated fundamental S0 and A0 modes as incident wavesinteracting with the damage. Therefore, two pairs of (a total offour) harmonic analyses need to be performed: one pair for S0 inci-dent waves and the other for A0 incident waves. In this 3D FEMmodel, SH0 mode is considered as a scattered wave from modeconversion, but not as an incident wave mode. Fig. 3 shows thesmall-size FEM pair designed for a 2.032-mm thick 2024-T3 alu-minum plate. Each model is 100 mm long, 100 mm wide, and2.032-mm thick, with a 30 mm wide NRB covering each boundary.

Fig. 3 also shows the loading nodes and the sensing nodes. Theloading nodes are aligned to create a straight crested harmonicincident wave field, which is a good approximation when the dam-age is located far away from the excitation source. In the pristinemodel, a circle of sensing nodes and one center sensing point aredesigned to collect the structural harmonic response. The centersensing point records the incident waves arriving at the damagelocation. In the damaged case, only a circle of sensing nodes, withthe same location as the pristine model, are used to collect thedata. The design of the circular positioned sensing nodes allowsus to extract the scattering information for all the directions. The

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Pristine

NRB

NRB

NR

B

NR

B

Loading nodes

DamagedNRB

NRB

NR

BN

RB

Sensing nodes

2.032 mm

5 mm R=1.5 mmDamage Example

Loading nodes Sensing nodes

Fig. 3. Small-size local FEM pair for WDICs extraction.

Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 121

benefit of a harmonic analysis lies in the fact that it can provide thestructural response under all the frequencies of interest with onlyone execution of the simulation, i.e., in commercial FE softwarepackages, one only needs to define the specific frequency rangeand step size, and the software will calculate the results for allthe specified frequencies.

A damage example is shown in Fig. 3. The geometry of damageis kept simple to ensure consistent FEM and experimental models,but complex enough to represent general wave-damage interac-tion phenomena, which have many mode conversion possibilitiesin the given frequency range. It should be noted that differenttypes of damage will have different scattering characteristics; thiswill require a corresponding local damage model for WDIC extrac-tion. It should also be noted that the harmonic analysis can onlycompute linear interaction between Lamb waves and damage.

5.2. WDIC extraction procedure

Fig. 4 shows the schematic of the sensing region from the localFEM for the extraction of WDICs. The in-plane displacements at thesensing nodes are used. According to Eq. (2), the scattered wavefield can be obtained by the subtraction of the incident waves fromthe total waves.

WSC ¼ WTOTAL �WIN ð21ÞThe sensing nodes data in the pristine model represent the inci-

dent wave field, while the data from damaged model correspond tothe total wave field containing both incident and scattered waves.Thus, the subtraction of the data between these two models pro-vides the scattered wave field in all directions. Using Eq. (21) anda transformation from Cartesian to polar coordinate system, wecalculated the scattered wave displacements at the top and bottom

Incident waves

Fig. 4. Extraction of WDICs

surface sensing nodes in both radial (uTr and uB

r ) and tangential (uTh

and uBh ) directions. Using Eq. (22), we can separate the contribution

from each scattered wave mode. It should be noted that pioneerresearch on local FEM techniques enables the extraction of scatter-ing information of any Lamb modes from the damage, i.e., thistechnique is not limited to fundamental modes [33,36]. The WIDCextraction procedure involving higher wave modes would requirethe solution throughout the thickness of the sensing boundary,instead of top and bottom surface only. By solving an overdeter-mined system of equations utilizing the solutions across thethickness, one can determine the participation of each wavemode. However, it is critical to state clearly that the extractionmethodology considered in current study was designed especiallyfor only fundamental plate guided wave modes (S0, A0, and SH0).The CAFA approach for higher wave modes should be investigatedin a future study.

uS0SC ¼ uT

r þ uBr

2; uA0

SC ¼ uTr � uB

r

2; uSH0

SC ¼ uTh þ uB

h

2; ð22Þ

The incident waves arriving at the damage location are recordedby the center sensing point (in pristine local model) and denoted asuIN . The relationship between the incident waves arriving at thedamage and the scattered waves picked up on the sensing bound-ary can be formulated as Eq. (23).

uAINe

�iuAIN � CABðx; hÞe�iuABðx;hÞ � Hð1Þ

m ðnBrÞ ¼ uBSCðhÞe�iuB

SC ðhÞ ð23Þ

where uAINe

�iuAIN is the A mode incident wave recorded by the center

sensing node with amplitude and phase information;CABðx; hÞe�iuABðx;hÞ is the WDIC, containing mode conversion (Amodeto B mode), direction dependency, amplitude ratio, and phase rela-tionship information; Hð1Þ

m ðnBrÞ represents the outward propagating2-D wave field of the resulting scattered wave mode B, with m ¼ 1

Sensing boundary

Sattered waves

from small-size FEM.

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122 Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128

for Lamb waves and m ¼ 0 for SH waves. uBSCðhÞe�iuB

SC ðhÞ is the result-ing scattered waves recorded on the sensing boundary with scatterangle, amplitude and phase information.

The harmonic analysis of the local FEM can provide the incidentand scattered wave amplitude-phase information in Eq. (23), withCABðx; hÞe�iuABðx;hÞ left as the only unknown term. Upon rearrange-ment, Eq. (23) becomes

CABðx; hÞe�iuABðx;hÞ ¼ uBSCðhÞuAIN

1Hð1Þ

m ðnBrÞ e�DuABðhÞ;

DuABðhÞ ¼ uBSCðhÞ �uA

IN ð24ÞBy identification, the amplitude coefficient and phase coeffi-

cient can be extracted.

CABðx; hÞ ¼ uBSC ðhÞuAIN

1Hð1Þm ðnBrÞ

��������

uABðx; hÞ ¼ DuABðhÞ � \ 1Hð1Þm ðnBrÞ � \ 1

Hð1Þm ð0þÞ

� � ð25Þ

5.3. Examples of WDICs

Fig. 5 shows the WDICs example of S0 wave interaction withdamage at 200 kHz. The first row shows the amplitude coefficientsand the second row shows the phase coefficients. It can beobserved that the interaction between the incident S0 wave andthe damage not only involves scattered S0 wave, but also involvesmode converted A0 and SH0 waves. Also, the amplitude and phasecoefficients are heavily direction-dependent. The calculation ofamplitude coefficients has been investigated in many literatureswith various methods, but the estimation of phase coefficients onlyappeared in a few publications. For example, the model in Ref. [33]allows the extraction complex-valued scattering coefficients,

0.2

0.4

0.6

30

210

60

240

90

270

120

300

150

330

180 0

210

240

90

270

120

150

180

100

200

300

400

30

210

60

240

90

270

120

300

150

330

180 0

210

240

9

27

120

150

180

CSS CS

ϕSS ϕ

S0 S0

S0 S0

Fig. 5. WDICs example of S0 wave int

which have been used to simulate ultrasonic array data or to solveinverse scattering problems [31,37]. In this study, we obtained thephase information of the scattered waves to solve a forwardscattering problem. The phase coefficients are of great significancein simulating wave-damage interaction, because they governwhether the incident and scattered waves will superpose construc-tively or destructive with each other. Fig. 6 shows the WDICs forthe incident A0 wave at 200 kHz. Similar scattering, mode conver-sion and directivity phenomena can be noticed in the coefficientpatterns.

6. Full-scale FEM and experimental verifications

In this section, we will present the multi-physics full-scale FEMsimulation and experiments with SLDV for CAFA verification. Casestudies were carried out for Lamb wave propagation in a pristineplate and a damaged plate.

6.1. Multi-physics full-scale FEM simulation

Fig. 7 shows the full-scale multi-physics finite element modelconstructed with the commercial FEM package ANSYS 14. Thespecimen is a 2.032-mm thick aluminum plate. To minimize thecalculation burden, NRB were implemented around the model.We used SOLID5 coupled field elements to simulate the piezoelec-tric effect of T-PWAS, SOLID45 eight node structure element tomesh the plate, and COMBIN14 spring-damper element toconstruct the NRB. The mesh size adopted in this study is 1 mmfor in-plane direction and 0.5 mm for thickness direction. TheT-PWAS and damage regions were meshed with even smaller ele-ments to accommodate the high stress gradient. A total of 423,468elements were used. The time step was set to 0.25 ls. Two sets ofsimulations were carried out: (1) 2-D Lamb wave propagation in a

100

200

300

400

30

210

60

240

90

270

120

300

150

330

180 0

0.1 0.2 0.3 0.4 0.5

30

210

60

240

90

270

120

300

150

330

180 0

0.1

0.2

0.3

0.4

30

60

300

330

0

100

200

300

30

600

0300

330

0

A CSSH

SA ϕSSH

S0

S0

eraction with damage at 200 kHz.

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Fig. 6. WDICs example of A0 wave interaction with damage at 200 kHz.

T-PWAS Damage100 mm

50 mm50 mm

30 mm NRB

NRBCOMBIN14 spring-damper element

NR

B

NR

B50 mm

SOLID 5Coupled field element

7-mm diameter 0.2mm thick circular PWAS

SOLID45 structure element

Fig. 7. Multi-physics full-scale finite element model.

Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 123

pristine plate; (2) 2-D Lamb wave propagation in a damaged plate.The location and geometry information of the T-PWAS, damage,and specimen are shown in Fig. 7.

6.2. Experiments with SLDV

Fig. 8 shows the SLDV experimental setup. An Agilent 33522Bfunction generator was used to generate a 3-count Hanning win-dow modulated tone burst which was amplified to 50 Vpp througha Krohn-Hite 7600 wideband power amplifier and then applied tothe T-PWAS. (The Krohn-Hite 7600 has a 200 Vpp range from DC to1 MHz, hence a linear amplification of the excitation signal withoutmodifying its frequency content is expected). Lamb waves gener-ated by the T-PWAS propagated along the structure, interactedwith the damage, and were measured by a Polytec PSV-400 scan-ning laser Doppler vibrometer. The quantity measured by the SLDVis the out-of-plane velocity of surface particle motion. Reflectivetapes were used to enhance the surface reflections and improvevisualization quality. C-scans of the specimen surface were carried

out for both the pristine and the damaged plate. The locations ofthe T-PWAS, damage, and special recording points are illustrated.

7. Results and discussion

7.1. Wave propagation in a pristine plate

Fig. 9 shows the comparison of the transient spatial wave fieldamong CAFA, full-scale FEM simulation, and SLDV measurement ina pristine plate. It can be observed that CAFA predictions have goodagreement with both full-scale FEM simulation and SLDV experi-ment. Lamb waves were generated by the T-PWAS, propagatingout in a circular wave front, strong near the wave source, and weakat far field due to the outward propagation pattern.

Fig. 10 shows the waveform validation results at various sens-ing locations at 200 kHz. It can be observed that CAFA predictionshave good agreement with both FEM simulation and experiments.At the near field (location #2), S0 and A0 waves are mixed together.The FEM result shows a shift from the CAFA prediction, while CAFA

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Function generator

Polytec PSV-400 Scanning laser vibrometer

x

y

T-PWAS(0,0)

#1 (30,0)

#2 (50,0)

#3 (70,0)

#4 (100,0)

#5 (150,0)

#6 (50,-25)

#7 (70,-25)

#8 (100,-25)

Synchronize

50-vpp 3-countTone burst

Amplifier

Damage

2024-T3 aluminum plate

Fig. 8. Experiment setup with SLDV.

(a) CAFA prediction

(b) FEM simulation

(c) SLDV measurement

10μs 20μs 50μs

10μs

10μs

20μs

20μs

50μs

50μs

Lamb waves being generated by T-PWAS Circular wave front Far field attenuation

Fig. 9. Comparison of 200 kHz wave fields in the pristine plate: (a) CAFA prediction; (b) full-scale FEM simulation; (3) experiment with SLDV.

124 Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128

prediction agrees well with the laser measurement. The FEM meshadopted in this study does not capture the near field waves asaccurate as CAFA. Of course, we can improve the accuracy of FEMsimulation by further discretizing the analyzed domain and adopt-ing smaller time step, but such improvement in accuracy requiresadditional computational resources and a much longer calculationtime. For higher frequency simulations, full scale 3-D FEM becomesprohibitive. It can also be observed that CAFA prediction of the farfield waveform agrees well with both full-scale FEM simulationand SLDV experiments for the pristine plate.

7.2. Wave propagation in a damaged plate

Fig. 11 shows the comparison of the transient spatial wavefields among CAFA, full-scale FEM simulation and SLDV measure-ment in a damaged plate. It can be observed that the CAFA resultsagree well with full-scale FEM simulation and experimentalmeasurement. At 30 ls, the fast propagating S0 mode with a longwavelength and the slowly propagating A0 mode with short wave-length can be clearly identified. The mode converted A0 waves canbe noticed, propagating with a short wavelength from S0 interac-tion with the damage. At 50 ls, after A0 waves interact with thedamage, the scattered A0 mode can be observed as well as theshadings left behind the damage. These shadings are caused bythe destructive superposition between the incident A0 waves andthe scattered A0 waves. This also illustrates the importance ofobtaining phase information in the WDICs. It should be noted thatmeasurement discontinuities were found in the experimentaldata, which were caused by the reflective tape boundaries. Itshould also be pointed out that, in order to compare with the SLDV

measurement, we are comparing the out-of-plane velocity of thewave fields. Thus, the SH modes which do not have out-of-planecomponents (from their mode shapes) will not present inthe out-of-plane field plots.

Fig. 12 shows the waveform validation results at various sens-ing locations for a 200 kHz excitation. It can be observed thatWFR predictions agree well with full-scale FEM simulation andexperiments. The signals at location #1, #2, and #3 show thatthe scattered A0 wave amplitude increases when the sensinglocation moves closer to the damage. The signal at location #5shows the mode converted A0 wave packet from the S0 interactionwith damage.

Fig. 13 shows the comparison of the sensing signals at locations#6, #7, and #8, which are in certain directions with respect to theincident waves and the damage. It should be noted that at location# 6 and #7, damage scattered waves are clearly observed, but atlocation #8, no damage effect can be seen. Recall the WDICspattern in Fig. 6, the scattered A0 amplitude coefficient reaches aminimum value near 90 degrees with respect to the incidentwaves. This fact illustrates that at certain sensing locations, thedamage cannot be effectively detected. Using CAFA and WFR-2D,the waveforms can be predicted at arbitrary sensing locations,and the users can determine whether these locations are sensitivepoints or blind zones, optimizing the design of a sensor network fordamage detection.

7.3. Advantage of CAFA over other computational techniques

CAFA can deal with transient wave interaction with compli-cated damage types and geometries in an easier and more

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-1

-0.5

0

0.5

1CAFAFull FEM

-1

-0.5

0

0.5

1CAFAExperiment

CAFA vs. full FEM CAFA vs. Experiment

Loca

tion

#2

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

Loca

tion

#4 S0

A0

0 20 40 60 80 100-1

-0.5

0

0.5

1

0 20 40 60 80 100-1

-0.5

0

0.5

1

Loca

tion

#5

Time (μs) Time (μs)

S0

A0

Nor

mal

ized

Am

plitu

de

Fig. 10. Results comparison of 200 kHz signals of the pristine plate at various sensing locations given in Fig. 8.

Fig. 11. Comparison of wave fields in the damaged plate, showing S0 and A0 Lamb modes interacting with the damage: (a) CAFA prediction; (b) full-scale FEM simulation;(c) SLDV experiment.

Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 125

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-1

-0.5

0

0.5

1CAFAFull FEM

-1

-0.5

0

0.5

1CAFAExperiment

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

0 20 40 60 80 100-1

-0.5

0

0.5

1

0 20 40 60 80 100-1

-0.5

0

0.5

1

CAFA vs. full FEM CAFA vs. Experiment

Loca

tion

#1Lo

catio

n #2

Loca

tion

#3Lo

catio

n #5

Weak scattered waves from damage

Scattered A0 waves from damage

S0

A0

S0A0

Mode converted A0 from S0 interaction with damage

Time (μs) Time (μs)

Nor

mal

ized

Am

plitu

de

Fig. 12. Results comparison of 200 kHz signals of the damaged plate at locations #1 through #5.

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

-1

-0.5

0

0.5

1

0 20 40 60 80 100-1

-0.5

0

0.5

1

0 20 40 60 80 100-1

-0.5

0

0.5

1

WFR vs. full FEM WFR vs. Experiment

Loca

tion

#6Lo

catio

n #7

Loca

tion

#8

Scattered A0 waves from damage

Time (μs) Time (μs)

Nor

mal

ized

Am

plitu

de

No damage effect can be seenat this location

CAFAFull FEM

CAFAExperiment

Fig. 13. Results comparison of 200 kHz signals of the damaged plate at locations #6 through #8.

126 Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128

user-friendly way through WFR-2D, than other analytical or semi-analytical formulations such as distributed point source method(DPSM) and semi-analytical finite element (SAFE) method.

CAFA does not require meshing of the entire structure, thus itminimizes the computation burden; the analytical framework is

constructed in the frequency domain, and does not require a timemarching procedure, thus it saves considerable computationtime, compared with conventional numerical methods such asfinite element method (FEM), spectral element method (SEM), orfinite difference method (LISA).

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Y. Shen, V. Giurgiutiu / Ultrasonics 69 (2016) 116–128 127

Because it is fast and efficient, CAFA can be used for parametricstudies for a large family of SHM problems. It enables researchersto define transducer size, structure material and thickness, sensor-damage locations, and arbitrary excitations by interacting with theGUI of WFR-2D. This user-friendly feature and parameter defini-tion freedom allows users to explore the best sensor arrangementfor damage detection in a highly efficient manner, whereas any ofthese parameter changes will result in re-built/re-mesh/re-run ofthe whole model in the case of conventional FEM simulation.

Besides, the conventional FEM needs to save all the nodal solu-tions for each time marching step, which is a memory consumingprocedure and requires large hard drive space for data storage.However, CAFA generates a 2-D wave field data with much lesscomputer resource consumption.

Taking the examples in this study, for each test frequency, ittakes more than 20 hours for the full-scale FEM simulation. How-ever, CAFA only consumes 2–3 hours local FEM computation andseveral minutes’ analytical calculation (WFR-2D). ConventionalFEM requires re-model and re-run for the exploration of eachdesign parameter such as PWAS transducer size, sensor-damagerelative location, interrogating wave frequency, and excitationwaveform; however, CAFA only requires the modification of thecorresponding calculation parameters and the exploration for eachparameter only takes several minutes. Thus, CAFA can achieveorders of magnitude higher design efficiency when comparedwith conventional FEM. The data size of conventional 3-D FEMsimulation can reach several hundreds of Gigabytes, while theCAFA 2-D time space wave field only consumes several hundredsof Megabytes.

8. Conclusions and future work

8.1. Conclusions

In this research, a methodology was proposed for insertingdamage effects into the 2-D Lamb wave analytical model. CAFAwas developed as a complete model which couples the analyticalframework with local FEM for the simulation of 2-D Lamb wavedamage detection. WFR-2D was developed as the user-friendlysoftware to conduct fast predictive simulations and parametricstudies. The CAFA results compared well with full-scale multi-physics FEM simulations and SLDV experiments. It was found thatCAFA achieved remarkable performance in terms of computationalaccuracy, efficiency, and versatility.

8.2. Future work

CAFA verification with other types of damage should beperformed. Extension to more than the basic S0, A0, and SH0scattering modes should be made. Inclusion of nonlinear effectsin CAFA should be attempted. WFR concept should be developedto simulate wave propagation in composite structures. CAFAshould be explored to solve wave propagation in structures withmore complicated geometries and should include boundary reflec-tions. The analytical framework should be further investigated toinclude thermal and loading effects to consider wave generation,propagation, damage interaction, and detection under varioustemperature and loading conditions.

Acknowledgements

Support from Office of Naval Research #N00014-11-1-0271,Dr. Ignacio Perez, Technical Representative; Air Force Office ofScientific Research #FA9550-11-1-0133, Dr. David Stargel, Program

Manager; SPARC fellowship at University of South Carolina; arethankfully acknowledged.

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