Damage mode identification for the clustering analysis of AE signals in thermoplastic composites

Journal of Nondestructive Evaluation

Volumn 28, Issue 3-4, 2009, Pages 163-168

  Yang, Bi Ling ^a,b,c   Zhuang, Xing Min ^a,b   Zhang, Tong Hua ^d   Yan, Xiong ^a  

^a DONGHUA UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c Guangdong Institute of Textile Technology   (China)

^d SOUTHWEST UNIVERSITY   (China)

Author keywords

Acoustic emission; Damage mode; Failure mechanisms; Pattern recognition; Self reinforced polyethylene composites; Thermoplastic

Indexed keywords

DAMAGE MODES; FAILURE MECHANISM; FAILURE MECHANISMS; SELF REINFORCED; SELF-REINFORCED POLYETHYLENE COMPOSITES;

ACOUSTIC EMISSIONS; ACOUSTICS; COMPOSITE MICROMECHANICS; FAILURE (MECHANICAL); FAST FOURIER TRANSFORMS; PATTERN RECOGNITION; REINFORCED PLASTICS; RESINS; STRUCTURAL PANELS; THERMOPLASTICS;

DAMAGE DETECTION;

EID: 73349141110     PISSN: 01959298     EISSN: 15734862     Source Type: Journal    
DOI: 10.1007/s10921-009-0059-3     Document Type: Article

References (21)

1. S. Barre M.L. Benzeggagh 1994 On the use of acoustic emission to investigate damage mechanisms in glass-fiber-reinforced polypropylene Compos. Sci. Technol. 52 369 376 10.1016/0266-3538(94)90171-6
2. Y.A. Dzenis J. Qian 2001 Analysis of microdamage evolution histories in composites Int. J. Solids Struct. 38 1831 1854 0961.74502 10.1016/S0020-7683(00) 00138-4 (Pubitemid 32086802)
3. H.N. Bar M.R. Bhat C.R.L. Murthy 2005 Parametric analysis of acoustic emission signals for evaluating damage in composites using a PVDF film sensor J. Nondestr. Eval. 24 121 134 10.1007/s10921-005-8780-z
4. X.M. Zhuang X. Yan 2006 Investigation of damage mechanisms in self-reinforced polyethylene composites by acoustic emission Compos. Sci. Technol. 66 444 449 10.1016/j.compscitech.2005.07.013 (Pubitemid 43019672)
5. X.M. Zhuang H.P. Zhang X. Yan 2006 Acoustic emission characteristics of damage process in self-reinforced polyethylene composites Acta Mater. Compos. Sin. 23 82 87
6. T.P. Philippidis V.N. Nikolaidis A.A. Anastassopoulos 1998 Damage characterization of carbon/carbon laminates using neural network techniques on AE signals NDT E Int. 31 329 340 10.1016/S0963-8695(98)00015-2
7. Y.Z. Pappas Y.P. Markopoulos V. Kostopoulos 1998 Failure mechanisms analysis of 2D carbon/carbon using acoustic emission monitoring NDT E Int. 31 157 163 10.1016/S0963-8695(98)00002-4
8. M. Moevus N. Godin M. R'Mili D. Rouby P. Reynaud G. Fantozzi G. Farizy 2008 Analysis of damage mechanisms and associated acoustic emission in two SiCf/[Si-B-C] composites exhibiting different tensile behaviours. Part II: Unsupervised acoustic emission data clustering Compos. Sci. Technol. 68 1258 1265 10.1016/j.compscitech.2007.12.002
9. S. Huguet N. Godin R. Gaertner L. Salmon D. Villard 2002 Use of acoustic emission to identify damage modes in glass fiber reinforced polyester Compos. Sci. Technol. 62 1433 1444 10.1016/S0266-3538(02)00087-8 (Pubitemid 34909762)
10. N. Godin S. Huguet R. Gaertner L. Salmon 2004 Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers NDT E Int. 37 253 264 10.1016/j.ndteint.2003.09.010
11. N. Godin S. Huguet R. Gaertner 2005 Integration of the Kohonen's self-organising map and k-means algorithm for the segmentation of the AE data collected during tensile tests on cross-ply composites NDT E Int. 38 299 309 10.1016/j.ndteint.2004.09.006 (Pubitemid 40206438)
12. R. de Oliveira A.T. Marques 2008 Health monitoring of FRP using acoustic emission and artificial neural networks Comput. Struct. 86 367 373 10.1016/j.compstruc.2007.02.015 (Pubitemid 351221127)
13. G. Kalogiannakis J. Quintelier P. de Baets J. Degrieck D.V. Hemelrijck 2008 Identification of wear mechanisms of glass/polyester composites by means of acoustic emission Wear 264 235 244 10.1016/j.wear.2007.03.019 (Pubitemid 350151490)
14. V. Kostopoulos T. Loutas A. Kontsos G. Sotiriadis Y.Z. Pappas 2003 On the identification of the failure mechanisms in oxide/oxide composites using acoustic emission NDT E Int. 36 571 580 10.1016/S0963-8695(03)00068-9
15. V. Kostopoulos T. Loutas K. Dassios 2007 Fracture behavior and damage mechanisms identification of SiC/glass ceramic composites using AE monitoring Compos. Sci. Technol. 67 1740 1746 10.1016/j.compscitech.2005.02.002 (Pubitemid 46381352)
16. Yang, B.L., Wang, X., Zhang, H.P., Yan, X.: Using clustering of acoustic emission signals on damage mechanisms analysis of quasi-isotropic self-reinforced polyethylene composites. ICAFPM, Shanghai, China, pp. 423-425 (2007)
17. Webb, A.R.: Statistical Pattern Recognition, 2nd edn. Arnold, London (1999)
18. Noesis V4. 0 professional edition reference manual: Pattern recognition & neural networks software for acoustic emission applications. Envirocoustics, S.A., Athens (2004)
19. Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 3rd edn. Academic Press, New York (2006)
20. Tou, J.T., Gonzales, R.C.: Pattern Recognition Principles. Addison-Wesley, Reading (1974)
21. C. Bhat M.R. Bhat 2003 Acoustic emission characterization of failure modes in composites with ANN Compos. Struct. 61 213 220 10.1016/S0263-8223(03) 00068-0 (Pubitemid 36755689)