Paper Title:
Fitting Theory and Method of Hyper-Elastic Materials’ Nonlinear Constitutive Relations Base on BP Neural Network
  Abstract

Base on the principle of nonlinear calculation, the mechanical models and the method of models experiment, we have provided a numerical analysis method of fitting hyper-elastic material constitutive relations. The method educed material spacial constitutive relations expressed by tensor through strain energy theory. After that, deduced material uniaxis constitutive models and use BP neural network to fit coefficients. Constitutive relations are the base of material deformation research. However we just paid attention to deformation experimental result before, rather than theoretical analysis. The theoretical analysis method this paper researching is convenient and precise and scientific, so it has theoretical meaning and practical value.

  Info
Periodical
Edited by
Robert Zhu
Pages
36-41
DOI
10.4028/www.scientific.net/AMM.137.36
Citation
B. Yang, L. Liu, S. K. Zhang, "Fitting Theory and Method of Hyper-Elastic Materials’ Nonlinear Constitutive Relations Base on BP Neural Network", Applied Mechanics and Materials, Vol. 137, pp. 36-41, 2012
Online since
October 2011
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