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首页> 外文会议>The 7th China-Japan-Korea joint symposium on optimization of structural and mechanical systems >Thickness Optimization of a Vehicle BIW Considering Structural Stiffness
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Thickness Optimization of a Vehicle BIW Considering Structural Stiffness

机译：考虑结构刚度的汽车白车身厚度优化

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摘要

Researches on structural design of a vehicle for weight reduction have been steadily conducted to reduce manufacturing cost and enhance fuel efficiency.In this research, structural optimization for the body in white (BIW) of a vehicle is conducted to reduce weight. Thicknesses of all members of the BIW are taken as design variables of the problem. The BIW in this research is composed of 196 members.If we use all of the members of the BIW as design variables, it will take unreasonable time to obtain an optimum solution because of large number of design variables. Therefore, we linked the 196 number of members to 64 groups according to the expert’s opinion and used 64 groups of the members as design variables.Since the number of design variables of 64 is still too many, we applied a metamodel-based design approach in this research. The metamodel-based design approach generates metamodels which can replace a numerically expensive real experiments or simulations and uses them for design optimization. The results of this research demonstrated the metamodel-based design optimization approach to be effective for a large scale design problem
机译：为了降低制造成本并提高燃料效率，已经稳定地进行了用于减轻重量的车辆的结构设计的研究。在该研究中，进行了针对车辆的白车身（BIW）的结构优化以减轻重量。 BIW所有成员的厚度均视为问题的设计变量。本研究中的BIW由196个成员组成。如果我们将BIW的所有成员用作设计变量，则由于存在大量设计变量，将花费不合理的时间来获得最优解。因此，我们根据专家的意见将196个成员链接到64个组，并使用64个成员作为设计变量。由于64个设计变量的数量仍然太多，因此我们在模型中采用了基于元模型的设计方法这项研究。基于元模型的设计方法会生成元模型，这些元模型可以替代昂贵的实际实验或仿真，并将其用于设计优化。这项研究的结果表明，基于元模型的设计优化方法可有效解决大规模设计问题

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