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基于三维多胞结构的汽车吸能盒优化设计 被引量:13

Optimization design of automobile crash box based on 3D cellular structure
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摘要 为改善汽车吸能盒在低速碰撞情况下的力学表现,将一种新型具有负泊松比效应的多胞结构设计为汽车前纵梁的吸能盒.通过对新型负泊松比多胞结构形状参数的研究,确立了多胞结构中特定的元胞几何参数及元胞层数作为优化变量,结构质量以及所吸收的能量作为优化目标.首先通过最优拉丁超立方的方法在变量空间内进行样本点的选取并采用ABAQUS进行有限元仿真计算,然后由Isight软件根据样本点的计算结果对优化变量与优化目标建立三阶响应面模型,最终采用NCGA对响应面模型进行优化.将优化结果进行RCAR(Research Council for Automobile Repairs)标准模型仿真计算,结果验证了这一新型负泊松比吸能盒可以在较小的质量下满足RCAR低速碰撞标准. A crash box for automobile front rail is designed with a new negative Poisson's ratio cellular structure to improve the mechanical performance of crash box in the low-speed crash. Through the research on the shape parameters of that structure, the specific geometry parameters and the layer number of the structure are set as the optimal variables, while the structure mass and energy absorbed are set as the optimal objects. At first, the sample points are selected in the variable space with optimal Latin hypercube design method and the finite element models made by those sample points are calculated by ABAQUS. Then, the cubic response surface model of optimal variables and optimal objects is established by Isight according to the calculation results of sample points. At last, the structure is optimized through the response surface model with NCGA. The optimal structure is tested through RCAR(Research Council for Automobile Repairs) standard model, and the result of the test proves that it can meet the RCAR request in the low-speed crash with smaller mass.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2017年第4期331-336,共6页 Journal of Dalian University of Technology
基金 国家自然科学基金资助项目(11272077) 中央高校基本科研业务费专项资金资助项目(DUT16LAB17)
关键词 负泊松比 吸能盒 多胞结构 RCAR标准 响应面法 negative Poisson's ratio crash box cellular structure Research Council for Automobile Repairs (RCAR) standard response surface method
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