In this research work, the acoustic emission results obtained from testing double cantilever beam specimens with carbon fibre reinforced plastic laminates are analysed. The acoustic emission descriptors such as amplitude, frequency centroid, counts, duration and risetime are clustered using k-means++ algorithm. An unconventional and innovative way of using the acoustic emission descriptors, after the clustering, is introduced. This method can favourably be used for relating the different damage progression modes in fibre reinforced plastics. Apart from this, the cumulative acoustic energy is used for predicting the crack length of the specimens. The predicted crack length is almost identical to the actual crack length opening recorded in each specimen. Finally, analytical and finite element models are used for validating the experimental results under the mode I delamination. The finite element studies are carried out using cohesive zone modelling in Comsol Multiphysics® platform.
MouritzAP. Fibre–polymer composites for aerospace structures and engines. In: MouritzAP (ed.) Introduction to aerospace materials. Cambridge: Woodhead Publishing, 2012, pp. 338–393.
2.
SilversidesIMaslouhiALaPlanteG.Acoustic emission monitoring of interlaminar delamination onset in carbon fibre composites. Struct Health Monit2013; 12(2): 126–140.
3.
BarileCCasavolaCPappaletteraG.Acoustic emission waveform analysis in CFRP under Mode I test. Eng Fract Mech2019; 210: 408–413.
4.
GrosseCOhtsuM.Acoustic emission testing. In: GrosseCOhtsuM (eds) Basics for research – applications in civil engineering. Berlin: Springer, 2008, pp. 19–40.
5.
AtivitavasNFowlerTPothisiriT.Acoustic emission characteristics of pultruded fiber reinforced plastics under uniaxial tensile stress. In: Proceedings of European WG on AE, Berlin, 15–17 September 2004, pp. 447–454. The European Working Group on Acoustic Emission, Breisig, Germany.
6.
CiampaFMeoM.A new algorithm for acoustic emission localization and flexural group velocity determination in anisotropic structures. Compos Part A Appl S2010; 41: 1777–1786.
7.
KharratMPlacetVRamassoE, et al. Influence of damage accumulation under fatigue loading on the AE-based health assessment of composite materials: wave distortion and AE-features evolution as a function of damage level. Compos Part A Appl S2018; 109: 615–627.
8.
WickerhauserMV.Adapted wavelet analysis from theory to software. Natick, MA: A K Peters, Ltd, 1994.
9.
MailletEBakerCMorscherGN, et al. Feasibility and limitations of damage identification in composite materials using acoustic emission. Compos Part A Appl S2015; 75: 77–83.
10.
Ramirez-JimenezCRPapadakisNReynoldsN, et al. Identification of failure modes in glass/polypropylene composites by means of the primary frequency content of the acoustic emission event. Compos Sci Tech2004; 64: 1819–1827.
11.
GutkinRGreenCJVangrattanachaiS, et al. On acoustic emission for failure investigation in CFRP: pattern recognition and peak frequency analyses. Mech Sys Signal Pr2011; 25(4): 1393–1407.
12.
de GrootPJWijnenPAMJanssenRBF.Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites. Compos Sci Tech1995; 55(4): 405–412.
13.
BakerCMorscherGNPujarVV, et al. Transverse cracking in carbon fiber reinforced polymer composites: modal acoustic emission and peak frequency analysis. Compo Sci Tech2015; 116: 26–32.
14.
CarpinteriALacidognaGCorradoM, et al. Cracking and crackling in concrete-like materials: a dynamic energy balance. Eng Fract Mech2016; 155: 130–144.
15.
LacidognaGPianaGAccorneroF, et al. Multi-technique damage monitoring of concrete beams: acoustic emission, digital image correlation, dynamic identification. Constr Build Mater2020; 242: 118114.
16.
RoundiWEl MahiAEl GharadA, et al. Acoustic emission monitoring of damage progression in glass/epoxy composites during static and fatigue tensile tests. Appl Acoust2018; 132: 124–134.
17.
GodinNHuguetSGaertnerR, et al. Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers. NDT&E Int2004; 37(4): 253–264.
18.
FotouhiMSadeghiSJalalvandM, et al. Analysis of the damage mechanisms in mixed-mode delamination of laminated composites using acoustic emission data clustering. J Thermoplast Compos2017; 30(3): 318–340.
19.
CarolloVReinosoJPaggiM.A 3D finite strain model for intralayer and interlayer crack simulation coupling the phase field approach and cohesive zone model. Compos Struct2017; 182: 636–651.
20.
YuanZFishJ.Are the cohesive zone models necessary for delamination analysis. Comput Methods Appl Mech Engg2016; 310: 567–604.
21.
BarileCCasavolaCGambinoB, et al. Mode-I fracture behavior of CFRPs: numerical model of the experimental results. Materials2019; 12(3): 513.
22.
WangYWaismanH.Material-dependent crack-tip enrichment functions in XFEM for modeling interfacial cracks in biomaterials. Int J Numer Meth Eng2017; 112: 1495–1518.
23.
ASTM D5528-01. Standard test method for Mode I interlaminar fracture toughness of unidirectional fiber-reinforced polymer matrix composites. West Conshohocken, PA: ASTM International, 2007.
24.
DaviesDLBouldinDW.A cluster separation measure. IEEE T Pattern Anal1979; PAMI–1(2); 224–227.
25.
ArthurDVassilvitskiiS.k-means++: the advantages of careful seeding. In: SODA ‘07: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms, New Orleans, LA, 7–9 January 2007, pp. 1027–1035. Philadelphia, PA: Society for Industrial and Applied Mathematics.
26.
LloydS.Least squares quantization in PCM. IEEE T Inform Theory1982; 28: 129–137.
WassPDavidsonA.Non-smooth mode I fracture of fiber reinforced composites: an experimental, numerical and analytical study. Phil Trans R Soc A2012; 370: 1942–1965.
29.
AzabMParryGEstevesR.An analytical model for DCB/wedge tests based on Timoshenko beam kinematics for accurate determinations of cohesive lengths. Int J Fract2020; 222: 137–153.
30.
AndersonTR.Fracture mechanics, fundamentals and applications. Boca Raton, FL: CRC Press, Taylor & Francis Group, 2005.
31.
IrwinGRParisPCTadaH.The stress analysis of cracks handbook. Hellertown, PA, Del Research Group, 1973.
32.
ChandaranaNSanchezDMSoutisC, et al. Early damage detection in composites during fabrication and mechanical testing. Materials2017; 10: 685.
33.
OzFEErsoyNLomovSV.Do high frequency acoustic emission events always represent fibre failure in CFRP laminates?Compos Part A-Appl S2017; 103: 230–235.
34.
BarileCCasavolaCPappaletteraG, et al. Damage characterization in composite materials using acoustic emission signal-based and parameter-based data. Compos Part B Eng2019; 178: 107469.
35.
LiuPFChuJKLiuYL, et al. A study on the failure mechanisms of carbon fiber/epoxy composite laminates using acoustic emission. Mater Design2012; 37: 228–235.
36.
ZhuangXYanX.Investigation of damage mechanisms in self-reinforced polyethylene composites by acoustic emission. Compos Sci Tech2006; 66(3–4): 444–449.
37.
AggelisDGBarkoulaNMMatikasTE, et al. Acoustic structural health monitoring of composite materials: damage identification and evaluation in cross ply laminates using acoustic emission and ultrasonics. Compos Sci Tech2012; 72(10): 1127–1133.
38.
KalteremidouKAMurrayBRTsangouriE, et al. Multiaxial damage characterization of carbon/epoxy angle-ply laminates under static tension by combining in situ microscopy with acoustic emission. Appl Sci2018; 8(11): 2021.
39.
HamstadMA.Thirty years of advances and some remaining challenges in the application of acoustic emission to composite materials. In: KishiTOhtsuMYuyamaS (eds) Acoustic emission beyond the millennium. Oxford: Elsevier, 2000, pp.77–91.
40.
BotvinaLRTyutinMRPetersenTB, et al. Residual strength, microhardness, and acoustic properties of low-carbon steel after cyclic loading. J Mach Manuf Reliab2018; 47: 516–524.
41.
BotvinaLRTyutinMR.New acoustic parameter characterizing loading history effects. Eng Fract Mech2019; 210: 358–366.
42.
SaeedifarMFotouhiMNajafabadiMA, et al. Prediction of delamination growth in laminated composites using acoustic emission and Cohesive Zone Modeling techniques. Compos Struct2015; 124: 120–127.
