基于不确定性的车架单循环多目标优化

李伟平; 肖娟; 窦现东; 王振兴; 谢锋

doi:10.13433/j.cnki.1003-8728.2015.0620

基于不确定性的车架单循环多目标优化

doi: 10.13433/j.cnki.1003-8728.2015.0620

1.
湖南大学汽车车身先进设计制造国家重点实验室, 长沙 410082

基金项目:

国家高技术研究发展计划项目（863计划）（2012AA111802）资助

详细信息

作者简介:
李伟平（1971-），副教授，博士，研究方向为汽车系统动力学、结构分析与优化等，lwpzlbb@yeah.net

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- 文章访问数: 137
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- 被引次数: 0
出版历程
- 收稿日期: 2013-08-26
- 刊出日期: 2015-06-05

Uncertainty Multi-objective Optimization of Frame Based on Interval Method

1.
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China

摘要

摘要: 为了提高某半挂牵引车车架的力学性能并减轻重量，将不确定性方法引入车架优化中。基于车架有限元模型构建设计变量和不确定变量与目标函数之间的近似模型，用区间分析方法求解每一个目标函数的上下界，采用目标评价函数作为多目标优化问题的适应度值。采用加入精英保持策略和去除重复个体的非支配排序遗传算法（NSGA-Ⅱ）对车架应力和质量两目标进行优化。最后与不确定性多目标双层嵌套优化的结果进行比较，得出区间分析方法在满足力学性能和精度要求条件下，大大提高了计算效率，并使车架质量得到有效减小。
- 不确定性 /
- 近似模型 /
- 区间分析法 /
- 单循环 /
- 多目标优化
Abstract: To improve the mechanical performances and reduce the weight of a semi_trailer towing vehicle frame, the uncertain optimization theory is introduced into the optimization of the frame. Based on the finite element model of the frame, an approximate model among design variables, uncertain variables and objective function is built. Upper and lower bounds of the objective function are solved with interval analysis method; target evaluation function serves as a fitness value of multi-objective optimization problem. The stress and mass of the frame are optimized with non-dominating sorting genetic algorithm (NSGA-Ⅱ), which is improved by adding elitist preservation strategy and removing duplicate individuals. The results compared with those of the multi-objective double nested optimization show that the computational efficiency is greatly improved and the mass of the frame is reduced under the premise of mechanical performances and accuracy requirements.
- automobile frames /
- computational efficiency /
- computer software /
- errors /
- finite element method

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参考文献(13)

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