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Construction of Design Guidelines for Optimal Automotive Frame Shape Based on Statistical Approach and Mechanical Analysis

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Computer Modeling in Engineering & Sciences 2021年第8期128卷 731-742页

作者： Masanori Honda Chikara Kawamura Isamu Kizaki Yoichi Miyajima Akihiro Takezawa Mitsuru Kitamura Mazda Motor Corporation 3-1 ShinchiFuchu-choAki-gunHiroshima730-8670Japan Department of Applied Mechanics and Aerospace Engineering School of Fundamental Science and EngineeringWaseda University3-4-1 OkuboShinjuku-kuTokyo169-8555Japan Division of Advanced Science and Engineering Graduate School of Advanced Science and EngineeringHiroshima University1-4-1 KagamiyamaHigashihiroshimaHiroshima739-8527Japan

A body frame composed of thin sheet metal is a crucial structure that determines the safety performance of a *** a correct weight and high-performance automotive body is an emerging engineering *** improve the performance of the automotive frame,we attempt to reconstruct its design criteria based on statistical and mechanical *** first,a fundamental study on the frame strength is conducted and a cross-sectional shape optimization problem is developed for designing the cross-sectional shape of an automobile frame having a very high mass efficiency for *** optimization is carried out using the nonlinear finite element method and a meta-modeling-based genetic *** analysis of the obtained set of optimal results is performed to identify the dominant design variables by employing the smoothing spline analysis of variance,the principal component analysis,and the self-organizing map *** relationship between the cross-sectional shape and the objective function is also analyzed by hierarchical clustering.A design guideline is obtained from these statistical approach results.A comparison between the statistically obtained design guideline and the conventional one based on the designers’experience is performed based on mechanical interpretation of the optimal cross-sectional ***,a mechanically reasonable new general-purpose design guideline is proposed for the cross-sectional shape of the automotive frame.

关键词： Automotive structure shape optimization data mining statistical approach crash-performance

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