2003 年 2003 巻 p. 20030003
In the process of optimization with a large nonlinear dynamic analysis, a large amount of computational cost is required to obtain the optimal design. A large portion of this cost can be avoided using Response Surface Model (RSM) by approximating the more costly analysis. Therefore, various optimization problems with this cost were applied by this method. But, on the other hand, this method is not enough advantage for a cost of the process of design. Because, this cost is larger than the requirement time for improving design. We guess this time usually is about one week. Therefore our aim is to reduce a computational cost of the process of optimization to obtain the optimal design within one week. We propose a VCM (Variable Complexity Model) approach using both the simple model with RSM and complex model during the optimization procedure. In this paper, we applied our method to the optimization problem with a nonlinear dynamic crash analysis, and obtained good results.