Open AccessMulti-Coefficient Optimization of Homogeneous Anisotropic Hardening Model for Ahss
Author(s) -
Shin-Yeong Lee,
Jin Hwan Kim,
Frédéric Barlat
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/651/1/012018
Subject(s) - hardening (computing) , simplex algorithm , anisotropy , structural engineering , strain hardening exponent , homogeneous , plasticity , materials science , algorithm , computer science , engineering , mathematics , composite material , physics , layer (electronics) , linear programming , quantum mechanics , combinatorics
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.