【摘要】 为某车型设计了碳纤维复合材料防撞梁,建立了其有限元分析模型,并用传统钢制防撞梁碰撞试验与仿真结果对比验证了模型准确性。然后采用全因子实验设计确定其横截面形状与铺层顺序的最优组合,最后应用NSGA-Ⅱ遗传算法对防撞梁结构铺层厚度进行了多目标优化。结果表明,在其碰撞性能提高的基础上,轻量效果达到将近65%,且优化后的防撞梁结构与吸能盒和前纵梁结构连接后,在高速碰撞过程中变形模式更合理。更多还原

【Abstract】 The carbon fiber composite anti-collision beam of a car is designed and its model for finite element analysis is set up, with its correctness verified by comparing the results of simulation on traditional steel anti-collision beam with test results. Then the optimal combination of its cross section shape and ply laying sequence is determined by full-factor experiment of design. Finally, multi-objective optimization is conducted on the thickness of anti-collision beam structure with NSGA-II genetic algorithm. The results show that after optimization, its crashworthiness is enhanced, its mass is reduced by nearly 65%, and its deformation mode is more reasonable in the course of high-speed crash when connected with energy-absorbing box and front side rail.更多还原