本构方程
考试(生物学)
算法
遗传算法
计算机科学
工程类
结构工程
机器学习
有限元法
地质学
古生物学
作者
Suokun Chen,Qinmin Zhang
标识
DOI:10.1088/1742-6596/2808/1/012062
摘要
Abstract Through the tensile test of 6082-T6 aluminum alloy sample, the mechanical properties parameters of the material (specified non-proportional tensile strength, tensile strength, elastic modulus E, elongation at break, proportional limit, Poisson’s ratio and strain hardening coefficient N) and the calculation method of strain hardening coefficient N of the constitutive model are analyzed and studied. A method of compiling a genetic algorithm (Ga) based on the Matlab platform to solve the hardening index of aluminum alloy materials is proposed. The results show that 6082-T6 aluminum alloy has good tensile strength and ductility, and the mechanical parameters are less than 3% compared with the national standard. The optimized algorithm is more stable than the traditional method in solving the hardening index n=21. The real stress-strain curve verifies the correctness of the obtained constitutive model, which can be used to predict the mechanical properties of aluminum alloy materials.
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