Composite Plate Stiffness Identification Using Neural Networks
Price
Free (open access)
Transaction
Volume
21
Pages
4
Published
1998
Size
381 kb
Paper DOI
10.2495/CP980391
Copyright
WIT Press
Author(s)
Chen Xiaolin, Hua Hongxing & Hugo Sol
Abstract
A new methodology is presented for composite plate stiffness identification. The orthotropic plate stiffness coefficients are identified from its dynamic properties (eigenvalues and eigenvectors) through a backward propagation neural network, which is constructed by three multilayer subnets. An example is used to demonstrate the effectiveness and limitations of the method. 1 Introduction The higher performance composite material are more and more applied in the aeronautical, transport, and sport industry. A strategical element for the design of structures of composite materials is the capability of simulating the response of the structure (deformations, stresses
Keywords
