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

被引：5

作者：

LABOSSIERE, P

TURKKAN, N

机构：

来源：

TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING | 1992年 / 16卷 / 3-4期

关键词：

D O I：

10.1139/tcsme-1992-0014

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：251 / 265

页数：15