提高桁架芯板冲击吸能能力的形状优化

Sunao Tokura, I. Hagiwara
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引用次数: 10

摘要

近年来的地球环境问题正在加速混合动力或电动汽车的迅速普及,以取代传统的化石燃料汽车。电动汽车不需要排气管和动力传动系统,如传动轴在地板下,所以他们的地板可以平坦。平坦的地板也可能有助于碰撞安全,因此需要合适的结构材料。本文以汽车结构为研究对象,研究了提高桁架芯板吸能能力的最佳形状。本文采用响应面法的径向基函数(RBF)网络,并将其应用于桁架芯板的形状优化。将x、y、z三个方向的能量吸收量作为独立目标,进行多目标优化。使用商用预处理器HyperMorph进行变形,使用显式有限元软件LS-DYNA进行崩溃分析,使用LS-OPT处理多作业和优化过程。结果表明,在x方向上的碰撞能量吸收提高了7.1%,并得到了目标的Pareto曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape Optimization to Improve Impact Energy Absorption Ability of Truss Core Panel
Recent earth environment problem is accelerating rapid popularization of hybrid or electric vehicles replacing conventional vehicles powered by fossil fuels. The electric vehicles don’t need exhaust pipes and power train system like propeller shaft under the floor, so their floors can be flattened. Flat floor may also contribute to crash safety and suitable structural material for this purpose will be required. In this paper, authors studied optimal shape to improve energy absorption ability of truss core panel which the usage is considered as vehicle structure. Effective optimization technique especially for nonlinear problem, Radial Basis Function (RBF) network with Response Surface Method (RSM) is adopted in the paper and applied to optimize the shape of truss core panel. Energy absorption quantities for x, y, and z directions were treated as independent objectives and multi-objective optimization was performed. A commercial preprocessor HyperMorph is used for morphing, explicit FEM software LS-DYNA is used to solve crash analysis and LS-OPT is used to handle multiple jobs and optimization process. As the result, 7.1 % of improvement for the energy absorption for the crash in x direction was achieved and Pareto curves for the objectives were obtained.
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