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It is important to improve the deceleration characteristic and the cabin deformation for a collision safety design of vehicle. At the same time it is required to reduce the vehicle weight to satisfy the driving performance and environmental restriction. Therefore there is a strong demand to develop an optimization approach to design a safer and lighter vehicle. 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 phenomena. In this study, they proposed a new concept called as mode controlling approach to keep the side members in ideal buckling mode. As a result, it was shown that high deceleration performance and light body can be realized by using this approach and SDSS.

The Statistical Design Support System (SDSS) produces a new practical optimal design methodology with which optimization can be done using a small number of case studies. In prior study, the authors applied it to the optimization of design parameters of occupant restraint system, and have tried to reduce the injury criteria of occupants based on the crash simulation. However, response surfaces did not have enough accuracy in approximation. Therefore the authors made detailed investigation on the relationship between occupant restraint system and injury criteria. This paper also discusses the possibility to improve approximating accuracy of response surfaces for injury criteria. Furthermore, based upon the results of detailed effectivity study, only the important design factors were chosen for the optimum design analysis. In the optimization analysis, the occupant’s figure was handled as an uncertain factor.

CAE technology has been applied for the crash safety design of vehicles, however, the optimum design has not been completed for the crash behavior of the vehicles. 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 phenomena. In this study, the SDSS was applied for the multi-objective optimization design of the reinforced members of a vehicle, where the weight, cabin deformation, and collision acceleration were chosen as the objective functions, and the simultaneous optimization for the functions was carried out. It was shown that the SDSS could be used as a practical multi-objective optimization tool for the crash safety design of vehicles.

The “Statistical Design Support System” produces a new practical optimal design method. It can be used even on nonlinear behavior. The optimization can be carried out with this system using a small number of calculation results. The authors applied it to the design optimization of the occupant restraint system in order to reduce the injury criteria based on the crash simulation. In line with growing interest and improvements in technology on vehicle safety, it will be necessary to consider some different crash situations simultaneously. The authors made an optimal design taking into account the different collision conditions. This paper describes the effectivity analysis and the optimization.