Failure of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and prediction of biaxial strength by the use of neural networks

Author:

Lee C.S.,Hwang W.,Park H.C.,Han K.S.

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference29 articles.

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4. Oishi A, Yamada K, Yoshimura S, Yagawa G. Inverse analysis by means of neural network and computational mechanics: its application to UT-based nondestructive ealuation. In: Proc. the Joint JSME/KSME Conf. on Recent Progress in Fracture Mechanics, JSME/KSME, 1993. p. 89–94.

5. Artificial neural networks for predicting the macromechanical behaviour of ceramic-matrix composites;Rao;Computational Mater Sci,1996

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