基于加点多目标粒子群算法的碳纤维防撞梁优化设计
Optimization Design of Carbon Fiber Anti-collision Beam Based on Multi-objective Particle Swarm with Additional Points
投稿时间:2021-06-30  修订日期:2021-08-30
DOI:
中文关键词:  车辆轻量化  碳纤维  防撞梁  结构设计  粒子群算法
英文关键词:Vehicle lightweighting  Carbon fiber  bumper  Structural design  Particle swarm optimization algorithm
基金项目:国家重点研发计划项目(2016YFB0101601)
作者单位邮编
陈静 吉林大学汽车仿真与控制国家重点实验室 130022
崔晓凡 吉林大学汽车仿真与控制国家重点实验室 
郑晋军 吉林大学汽车仿真与控制国家重点实验室 130022
徐森 吉林大学汽车仿真与控制国家重点实验室 
胡金旭 吉林大学汽车仿真与控制国家重点实验室 
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中文摘要:
      为了达到轻量化的效果,基于某轻型乘用车钢制防撞梁,根据车辆低速碰撞标准对采用碳纤维材料的防撞梁进行结构优化设计。首先通过全因子试验确定了防撞梁的截面参数,考虑到各铺层区域之间厚度不同导致的材料不连续问题,提出了基于铺层相容性的铺层原则,确定了防撞梁的厚度空间和对应的铺层顺序。在对防撞梁的铺层厚度进行优化设计时,采用一种基于kriging模型的加点多目标粒子群优化算法,在传统粒子群算法的基础上引入了多目标加点策略,能够有效解决由于近似模型精度不够导致的重复试验设计问题,提高了优化效率。对优化设计后的防撞梁进行的仿真和台车试验表明,碳纤维防撞梁低速碰撞性能满足要求。
英文摘要:
      In order to achieve the effect of lightweight, based on the steel anti-collision beam of a light passenger car, the structure optimization design of the anti-collision beam made of carbon fiber was carried out according to the low-speed collision standard. Firstly, the cross-section parameters of the anti-collision beam are determined by full factor test. Considering the material discontinuity caused by different thickness of each area, the ply principle based on ply compatibility is proposed, and the thickness space with the corresponding ply sequence are determined. In order to optimize the thickness of the anti-collision beam, a multi-objective particle swarm optimization algorithm based on Kriging model is adopted. Based on the traditional particle swarm optimization algorithm, the multi-objective adding point strategy is introduced, which can effectively solve the repeated test design problem caused by the insufficient accuracy of the approximate model and improve the optimization efficiency. The simulation and sled test of the optimized anti-collision beam show that the low-speed impact performance of the carbon fiber anti-collision beam meets the requirements.
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