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

By 強 于, 秀起 矢島, 毅 吉本, 正樹 白鳥 and 惠一 本山

Abstract

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.本研究では,車体の主に補強部材の多目的最適化設計に統計的設計支援システムを適用し,自動車衝突安全設計の効率的な多目的最適化手法を確立することを目的とした

Topics: 車, Statistical Design Support System, Multi Objective Optimization, Crash Safety Design, Non-Linear Problem, Crashworthiness
Publisher: 社団法人日本機械学会
Year: 2000
DOI identifier: 10.1299/kikaia.66.1
OAI identifier: oai:tori2:10131/307
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