Abstract: The study on strain rate effect of advanced high stiffness steel (AHSS) for vehicle crashworthiness became the hot spot in this research field recent year. Different strain rate should lead to different influence. The accurate material parameter is the key important issue for reliable simulation. The direct material parameter identification methods commonly don’t consider the crash effect. It might introduce the large errors. Therefore, a parameter inverse method by considering the crash effectis is proposed. Moreover, there are a lot of uncertain factors during inverse identification procedure. In order to enhance the efficiency and reliability of the proposed inverse method, the least square support vector regression (LSSVR)-based metamodeling is implemented for the inverse method. The LSSVR is a modeling algorithm based on structural risk minimal, therefore the reliability of the proposed inverse method can be promise. The metamodeling technique is used to improve the efficiency. According to the comparison between the data from experiments and inverse method, the suggested inverse method is proved to be a feasible technique for AHSS.

Key words: Advanced high stiffness steel, Material parameter inverse method, Metamodel