Multi-Objective Optimization for Crash Safety Design of Vehicles 1999-01-3210
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.
Affiliated:
Department of Mechanical Engineering & Materials Science Graduate School of Yokohama National University, Department of Mechanical Engineering & Materials Science Graduate School of Yokohama National University and Fundamental Research Division, Wako Research Center, HONDA R&D Co., Ltd., Department of Mechanical Engineering & Materials Science, Yokohama National University, Body Engineering Development Department 1, Tochigi R&D Center, HONDA R&D Co., Ltd. (Current Address: Mechanical Dynamics Japan K.K.)
Pages: 9
Event:
International Body Engineering Conference & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Optimization
CAD, CAM, and CAE
Statistical analysis
Crashes
Vehicle acceleration
Tools and equipment
SAE MOBILUS
Subscribers can view annotate, and download all of SAE's content.
Learn More »
