吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (01): 39-44.

• 论文 • 上一篇    下一篇

参数化诱导槽设计的吸能盒结构抗撞性多目标优化

郝亮1, 徐涛1,2, 崔健1, 吉野辰萌1   

  1. 1. 吉林大学 机械科学与工程学院, 长春 130022;
    2. 吉林大学 汽车仿真与控制国家重点实验室, 长春 130022
  • 收稿日期:2012-03-26 出版日期:2013-01-01 发布日期:2013-01-01
  • 通讯作者: 吉野辰萌(1962-),男,教授.研究方向:结构优化设计.E-mail:mchen@tgweb.net E-mail:mchen@tgweb.net
  • 作者简介:郝亮(1984-),男,博士研究生.研究方向:结构优化设计.E-mail:haoliang20002000@163.com
  • 基金资助:

    国家自然科学基金项目(50975121);吉林省科技发展计划项目(20126001);长春市科技支撑计划项目(10KZ03).

Multi-objective optimization for crashworthiness of crash box with parameterized inducing grooves

HAO Liang1, XU Tao1,2, CUI Jian1, YOSHINO Tatsuo1   

  1. 1. College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China;
    2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China
  • Received:2012-03-26 Online:2013-01-01 Published:2013-01-01

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摘要： 针对车身前部抗撞部件吸能盒结构的常见的方形截面薄壁锥管,研究了其在低速冲击工况下的最佳抗撞性能模型优化。将压溃力效率及比吸能作为评价指标,建立加权组合形式的多目标优化模型。分析研究分布设置诱导槽对结构吸能与压溃力的影响,选择诱导槽设定的可行区域。以槽的个数、非均匀分布的槽间距离及槽的深度等作为优化参数,合理选取样本点后,分别应用三次多项式响应面法及径向基法构建其有效代理模型,并采用粒子群法进行优化设计,得出使结构最优的诱导槽位置分布及数量。仿真分析验证了本文方法的有效性。

关键词: 车辆工程, 抗撞性, 吸能盒, 诱导槽, 粒子群优化算法, 多目标优化

Abstract: A model optimization was performed for the crashworthiness of the thin-walled taper tube with square cross section which often appears as an energy absorbing part of the crash box. Taking the crash force efficiency and the specific energy absorbing part of the crash box. Taking the crash force efficiency and the specific energy absorption as evaluation indexes, a multi-objective optimization model was built in the form of weighted the distribution of inducing grooves on the energy absorption and crash force of the structure were analyzed to choose the feasible region of inducing grooves. Taking the number, the non-uniform intervals and depth of inducing grooves as optimization parameters, choosing the sampling points reasonably, the surrogate models were constructed by the cubic polynomial response surface method and the radial basis function method respectively. The optimization design was performed by the particle swarm method and the optimal number and distribution of inducing grooves were obtained. The effectiveness of the proposed method was validated by the finite element simulation analysis.

Key words: vehicle engineering, crashworthiness, crash box, inducing grooves, particle swarm optimization, multi-objective optimization

中图分类号: 

  • U463.83
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