Multi Objective Optimization of Reinforced Members for Crash Safety Design of Automobiles

CAE technology has been widely applied for the crash safety design of vehicles.Nevertheless, the optimum design approach has not been completed for the crash behavior of the vehicles because of the non-linearity of the dynamic problem.The authors have proposed a Statistical Design Support System(SDSS), and brought forward that the SDSS is one of the available optimal approaches for the nonlinear and dynamic problems such as the vehicles crashing. In this study, the SDSS was applied for the multi-objective optimization design of the main reinforced members of a vehicle. The thickness of each member was chosen as the design variables, and the total weight and the deformation of the cabin as the multi-objection functions.It was shown that the SDSS could satisfactorily be used as a practical multi-objective optimization design fool for the crash safety design of vehicles, and the design cycle could be significantly cut down using SDSS.