journal article·2015-05

Correlation of acoustic emission with optically observed damage in a glass/epoxy woven laminate under tensile loading

Li Li, Stepan V. Lomov, Xiong Yan

Publisher page

Abstract

Abstract It is a challenge to determine connection between acoustic emission (AE) events and the corresponding damage modes. In the present study AE events registered during tensile loading of a plain weave glass/epoxy laminate are correlated to actual damage, which is observed optically. Cracks in the transparent laminate, visible in the backlight images, are counted during the tensile test. Transversal and longitudinal cracks in the yarns and localised delaminations are distinguished. AE events are classified according to the amplitude and peak frequency of the signal into low frequency – low amplitude, low frequency – high amplitude and high frequency clusters. The latter (high frequency) AE events are assumed to be connected to fibre breakage. The cumulative number of transversal and longitudinal matrix cracks corresponds well to the number of AE events in the low frequency – high amplitude cluster, and the number of delaminations – with low frequency – high amplitude cluster. The study validates use of cluster analysis of AE for identification of damage models in woven glass fibre reinforced laminates.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Thermography and Photoacoustic Techniques · Mechanical Behavior of Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (28)

Show source-provided references
1. Waveform based clustering and classification of AE transients in composite laminates using principal component analysis10.1016/S0963-8695(02)00004-X ↗
2. 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 clustering10.1016/j.compscitech.2007.12.002 ↗
3. Identification of failure modes in GFRP using PVDF sensors: ANN approach10.1016/j.compstruct.2003.10.019 ↗
4. Reliability of damage mechanism localisation by acoustic emission on glass/epoxy composite material plate10.1016/j.compstruct.2011.11.037 ↗
5. Use of acoustic emission to identify damage modes in glass fibre reinforced polyester10.1016/S0266-3538(02)00087-8 ↗
6. Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers10.1016/j.ndteint.2003.09.010 ↗
7. Pattern recognition approach to identify natural clusters of acoustic emission signals10.1016/j.patrec.2011.09.018 ↗
8. Quantification of failure mechanisms in mode-I loading of fiber reinforced plastics utilizing acoustic emission analysis10.1016/j.compscitech.2011.10.013 ↗
9. Initiation and growth of delamination in glass/epoxy composites subjected to static and dynamic loading by acoustic emission monitoring10.1016/S0266-3538(98)00063-3 ↗
10. Fatigue damage stages in unidirectional glass-fibre–epoxy composites: identification through acoustic emission technique10.1016/0142-1123(93)90486-A ↗
11. Identification of failure modes in glass/polypropylene composites by means of the primary frequency content of the acoustic emission event10.1016/j.compscitech.2004.01.008 ↗
12. Acoustic emission characteristics of micro-failure processes in polymer blends and composites10.1016/S0266-3538(00)00060-9 ↗
13. A comparative study of tensile properties of non-crimp 3D orthogonal weave and multi-layer plain weave E-glass composites. Part 1: Materials, methods and principal results10.1016/j.compositesa.2009.03.012 ↗
14. Experimental methodology of study of damage initiation and development in textile composites in uniaxial tensile test10.1016/j.compscitech.2007.07.005 ↗
15. 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 composites10.1016/j.ndteint.2004.09.006 ↗
16. An acoustic-emission characterization of the failure modes in polymer-composite materials10.1016/S0266-3538(98)00013-X ↗
17. Cluster analysis of acoustic emission signals for 2D and 3D woven glass/epoxy composites10.1016/j.compstruct.2014.05.023 ↗
18. A comparative study of tensile properties of non-crimp 3D orthogonal weave and multi-layer plain weave E-glass composites. Part 2: Comprehensive experimental results10.1016/j.compositesa.2009.04.032 ↗
19. Fatigue behavior of non-crimp 3D orthogonal weave and multi-layer plain weave E-glass reinforced composites10.1016/j.compscitech.2010.08.002 ↗
20. On acoustic emission for failure investigation in CFRP: Pattern recognition and peak frequency analyses10.1016/j.ymssp.2010.11.014 ↗
21. He X, Cai D, Niyogi P. Laplacian score for feature selection. In: Advances in neural information processing systems. Vancouver, BC, Canada; 2005. p. 507–14.
22. Vesanto J, Himberg J, Alhoniemi E, Parhankangas J. Som toolbox for matlab 5. Technical Report, Helsinki University of Technology; 2000.
23. Analysis of plate wave propagation in anisotropic laminates using a wavelet transform10.1016/S0963-8695(00)00056-6 ↗
24. Quantitative experimental measurements of matrix cracking and delamination using acoustic emission10.1016/j.compositesa.2010.01.008 ↗
25. Wavelet analysis of plate wave propagation in composite laminates10.1016/S0263-8223(00)00079-9 ↗
26. Monitoring of acoustic emission damage during tensile loading of 3D woven carbon/epoxy composites10.1177/0040517513519510 ↗
27. Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithm10.1177/0731684412442257 ↗
28. A global method for the identification of failure modes in fiberglass using acoustic emission10.1520/JTE103730 ↗