AUTOMATIC DETECTION AND CLASSIFICATION OF DAMAGE MECHANISMS IN GLASS FIBERS/EPOXY COMPOSITE USING ACOUSTIC EMISSION ANALYSIS

Type : Article de conférence
Auteur(s) :  M. Benantar, M.A. Belouchrani, S. Benmedakhene, A. Labed, Z. Aboura
Année :  2010
Domaine : Electronique
Conférence: Conférence Internationale sur le Soudage, le CND et l’Industrie des Métaux, IC-WNDT-MI’10
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  glass fibers/epoxy, acoustic emission, damage mechanisms, classification, SVM

Résumé : 

In this paper, we present a general approach for automatic detection and classification of damage mechanisms in composite materials. Toshow the effectiveness of this approach, a series of tension test is realized on glass fibers/epoxy composites. These tests are followed by an acoustic emission technique which helps estimating the acoustical parameters of each damage mechanism. The resulting features are used as the input of support vector machines (SVM) classifier designed and trained to be able to detect and classify damage mechanisms