Fotouhi, M. , Belalpour Dastjerdi, P. and Ahmadi, M. (2014) Acoustic emission based method to characterize glass/epoxy composite damages during 3-point bending test. International Journal of Material Sciences, 4(1), p. 22. (doi: 10.14355/ijmsci.2014.0401.04)
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Abstract
Acoustic emission (AE) method is a capable non-destructive method for recognition of different fracture mechanisms in composite materials. Discrimination of AE signals related to various fracture modes is important in the application of this technique. Thus, in this study, integration of genetic algorithm (GA) and k-means algorithm was used to cluster AE signals of glass/epoxy composite during quasi-static three-point bending test. Performing clustering analysis, three clusters with distinct frequency ranges were obtained; and each one indicates a separate fracture mechanism. In addition, time-frequency analysis of AE signals, which is derived from wavelet packet transform (WPT), was performed. With the purpose of finding the principal components correlated with various damage mechanisms, the energy distribution criterion was used. The frequency ranges of the principal components were then compared with k-means genetic algorithm (KGA) results. Also, SEM observation was used to validate the results. The achieved results indicate excellent performance of the proposed techniques in the damage discrimination of composite materials.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Fotouhi, Dr Mohammad |
Authors: | Fotouhi, M., Belalpour Dastjerdi, P., and Ahmadi, M. |
College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
Journal Name: | International Journal of Material Sciences |
Publisher: | Science and Engineering Publishing Company |
ISSN: | 2226-4531 |
ISSN (Online): | 2226-4523 |
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