ON THE OPTIMIZATION OF THE TENSOR POLYNOMIAL FAILURE THEORY WITH A GENETIC ALGORITHM

1 September 1992

journal article
Published by Canadian Science Publishing in Transactions of the Canadian Society for Mechanical Engineering

Vol. 16 (3-4) , 251-265
https://doi.org/10.1139/tcsme-1992-0014

Abstract

Using previously published experimental data for an anisotropic material, it is shown that a genetic algorithm can be used to optimize the parameters of the tensor polynomial failure theory. This method, adapted from studies in the biological sciences, allows the user to obtain an improved correlation between experimental data and the analytical failure envelope for this material.

Keywords

ANISOTROPIC
OPTIMIZE
SCIENCES
PUBLISHED
ADAPTED
TENSOR POLYNOMIAL
FAILURE THEORY
POLYNOMIAL FAILURE

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