Multi-Coefficient Optimization of Homogeneous Anisotropic Hardening Model for Ahss

Abstract

The goal of this research is to find out which test is best to predict the hardening of advanced high strength steel (AHSS) sheets and what kind of optimization method is most efficient. In this work, tension-compression and cyclic simple shear tests were conducted on AHSS sheets. Both experiments were carried out in the format of several cycles. Based on the experimental results, the distortional plasticity model (HAH) coefficients were optimized through the Nelder-Mead simplex algorithm and a genetic algorithm. The results were discussed to assess which test is best for the prediction of the stress-strain curve during forward-reverse loading and which method leads for lower computing time and higher accuracy.