Abstract: Research has shown that different advanced high-strength steel (AHSS) will render a different strain-rate effect, whether the material parameter describe the strain-rate effect correctly or not will affect the accuracy of simulation. Therefore, the reliability of the vehicle crash simulation is based on the accuracy of material parameter. A robust material parameter inverse method is suggested based on the popular hybrid numerical method and multi-objective optimization. On the premise of ensuring the accuracy of inversion, the proposed method considers the uncertainties in experiment. Furthermore, the stability of experimental technology should be another objective function besides the error of the experiment results. To ensure the reliability of the experimental data, the dynamic uniaxial tensile test results are filtered by inverse technology similarly. To validate the effectiveness of the proposed method, the Johnson-Cook model parameters are identified by the multi-objective based inverse method, car crash experiments and simulations are also performed. The result has shown that the inverse result by this method has enough accuracy and robustness.

Key words: Advanced high-strength steel, Material parameter inverse method, Multi-objective optimization, Robust