To improve vehicle side crashworthiness, this paper first introduces the negative Poisson’s ratio structure to the traditional B-pillar and proposes a negative Poisson’s ratio B-pillar. Then, the performance of the negative Poisson’s ratio B-pillar is studied in detail by comparison with a traditional B-pillar and honeycomb B-pillar. Aiming at the problem that the side crashworthiness is also significantly affected by the side structure parameters of vehicle body, the factorial analysis theory is adopted to screen out the side structure parameters with significant effect. Based on this, by combining the optimal Latin hypercube design and response surface model, a multi-objective optimization design is conducted for those structure parameters based on non-dominated sorting genetic algorithm II. Finally, the normal boundary intersection method is adopted to seek the Pareto optimal solution, and the simulation results show that compared with the traditional B-pillar, the negative Poisson’s ratio B-pillar optimized by non-dominated sorting genetic algorithm II has better comprehensive crashworthiness. The results of this paper can provide some basis for the design and optimization of vehicle side crashworthiness.

中文翻译：

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基于因子分析的负泊松比结构车身多目标耐撞性优化

为了提高车辆侧面的耐撞性，本文首先将负泊松比结构引入到传统的B柱中，并提出了一种负泊松比的B柱。然后，通过与传统B柱和蜂窝B柱的对比，详细研究了负泊松比B柱的性能。针对车身侧面结构参数对侧面耐撞性也有显着影响的问题，采用析因分析理论筛选出影响显着的侧面结构参数。在此基础上，结合最优拉丁超立方设计和响应面模型，对基于非支配排序遗传算法Ⅱ的结构参数进行多目标优化设计。最后，采用正态边界相交法寻求帕累托最优解，仿真结果表明，与传统B柱相比，非支配排序遗传算法II优化的负泊松比B柱具有更好的综合耐撞性。本文的研究结果可为车辆侧面耐​​撞性的设计和优化提供一定的依据。