2012
DOI: 10.1177/0021998311425968
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Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering

Abstract: In this study, two types of specimens, woven [0, 90] s and unidirectional [0] s glass/epoxy composites, were studied. Acoustic emission (AE) monitoring with wavelet-based signal processing technique and Fuzzy C-Means (FCM) clustering method was used to detect the different fracture mechanisms during delamination in quasi-static three-point bending test. The three-point bending test simulates thrust force, the most effective factor in delamination, throughout the process of drilling without backup plate. The ob… Show more

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Cited by 57 publications
(44 citation statements)
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“…These damage mechanisms, i.e. matrix cracking, fiber failure, etc., are the origins of the AE signals that are recorded by piezoelectric transducer [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…These damage mechanisms, i.e. matrix cracking, fiber failure, etc., are the origins of the AE signals that are recorded by piezoelectric transducer [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…[21][22][23]. Recently, AE has been utilized as an applicable technique to detect in-situ information from the damages that occur in laminated composites [5,[24][25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers analysed different types of failure modes using Acoustic Emission in composites by supervised and non-supervised methods [16][17][18][19][20][21][22][23][24][25][26][27]. In supervised learning the categories, data is assigned to be known before computation.…”
Section: Introductionmentioning
confidence: 99%