ا ﺔﻴﺒﻌﺸﻟا ﺔﻴﻃاﺮﻘﻤﻳﺪﻟا ﺔﻳﺮﺋاﺰﺠﻟا ﺔﻳرﻮﻬﻤﺠﻟ
REPUBLIQUE ALGERIENNE DEMOCRATIQUE ET POPULAIRE
ﻲﻤﻠﻌﻟا ﺚﺤﺒﻟا و ﻲﻟﺎﻌﻟا ﻢﻴﻠﻌﺘﻟا ةرازو
MINISTERE DE L’ENSEIGNEMENT SUPERIEUR ET DE LA RECHERCHE SCIENTIFIQUE
Conférence Internationale sur le Soudage, le CND et l’Industrie des Métaux, IC-WNDT-MI’10 Oran, 28 - 30 novembre 2010. Site web : http://www.csc.dz/wcndt-10
Université Saad Dahlab Blida Centre de Recherche Scientifique et Technique en Soudage et Contrôle.
CSC, BP 64 Chéraga, Alger. Tél. /Fax 021 37 18 21 Université Hadj Lakhdar
Batna
AUTOMATIC DETECTION AND CLASSIFICATION OF DAMAGE MECHANISMS IN GLASS FIBERS/EPOXY COMPOSITE USING
ACOUSTIC EMISSION ANALYSIS
M. Benantar1, M.A. Belouchrani1, S. Benmedakhene2, A. Labed3 and Z. Aboura2
1Engineering Materials Laboratory, Military Polytechnic School, B.P 17, BordjEl Bahri, Algiers, Algeria, [email protected]
2Roberval Laboratory, Technological University of Compiègne, UMR 6066, 60205 Compiègne cedex, France
3Applied Mathematics Laboratory, Military Polytechnic School, B.P 17, BordjEl Bahri, Algiers, Algeria
Abstract :
In this paper, we present a general approach for automatic detection and classification of damage mechanisms in composite materials. To show 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.
Key words : glass fibers/epoxy, acoustic emission, damage mechanisms, classification, SVM.
