Damage Identification of CFRP Laminated Cantilever Beam by Using Neural Network

摘要

For the wider use of CFRP, the damage specially in the laminated direction such as transverse cracking, delamination or fiber-matrix debonding should be easily and economically searched and a reasonable non-destructive test method should be also fixed. This paper presents the application of the hierarchical neural network to damage identification in the CFRP laminated beam and discusses the accuracy and the efficiency of this method.