FAILURE PREDICTION OF FIBER-REINFORCED MATERIALS WITH NEURAL NETWORKS

Authors
LABOSSIERE P TURKKAN N
Citation
P. Labossiere et N. Turkkan, FAILURE PREDICTION OF FIBER-REINFORCED MATERIALS WITH NEURAL NETWORKS, Journal of reinforced plastics and composites, 12(12), 1993, pp. 1270-1280
Citations number
9
Categorie Soggetti
Material Science
Journal title
Journal of reinforced plastics and composites → ACNP
ISSN journal
07316844
Volume
12
Issue
12
Year of publication
1993
Pages
1270 - 1280
Database
ISI
SICI code
0731-6844(1993)12:12<1270:FPOFMW>2.0.ZU;2-3
Abstract
Neural networks can be used to predict failure of anisotropic material s under any loading condition, provided that sufficient experimental d ata were initially available for the system to ''learn'' the rules. An example failure envelope for a typical fibre-reinforced material is o btained using this method.