汽车车身耐撞性设计参数的区间稳健性优化

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摘要基于区间分析，提出了一种考虑公差的汽车车身耐撞性稳健优化设计模型，可在有效降低耐撞性能对设计参数波动敏感性的同时实现公差范围的最大化。该模型首先利用对称公差来描述汽车碰撞模型中车身关键耐撞部件的主要尺寸、位置和形状等设计参数本身的不确定性，然后将参数设计和公差设计相结合，建立了以稳健性评价指标和公差评价指标为优化目标，设计变量名义值和公差同步优化的多目标优化模型。再次，利用区间可能度处理不确定约束，将该优化模型转换为确定性多目标优化模型。最后，将该模型应用于两个汽车耐撞性优化设计问题，并通过序列二次规划法和改进的非支配排序遗传算法进行求解，结果表明该方法及稳健优化设计模型可行且实用。

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	王琼
	刘桂萍

关键词 ：稳健性, 优化设计, 公差, 车身耐撞性, 区间分析

Abstract：A robust optimization design model for vehicle body crashworthiness considering tolerances was proposed based on interval analysis to effectively reduce sensitivity of crashworthiness to fluctuation of design parameters, and realize maximization of tolerances’ ranges.Firstly, uncertainties of design parameters, such as, size, position and shape of vehicle body’s key collision resistant parts in vehicle collision model were described with symmetric tolerances.Then, parametric design was combined with tolerance design to establish a multi-objective optimization model with robustness evaluation indexes and tolerance evaluation indexes taken as optimization objectives, and synchronous optimization of nominal values of design variables and their tolerances.Thirdly, the interval possible degree was used to deal with uncertain constraints, and the optimization model with uncertainties was converted into a deterministic multi-objective optimization one.Finally, the proposed model was applied in two vehicle crashworthiness optimization design problems, and they were solved using the sequence quadratic programming method and the improved non-dominant sorting genetic algorithm.The results showed that the proposed robust optimization design model and method are feasible and practical.

Key words： robustness optimization design tolerance vehicle body crashworthiness interval analysis

收稿日期: 2018-08-30 出版日期: 2020-02-28

引用本文:

王琼,刘桂萍. 汽车车身耐撞性设计参数的区间稳健性优化[J]. 振动与冲击, 2020, 39(5): 37-44.
WANG Qiong, LIU Guiping. Robust optimization design model for vehicle body crashworthiness based on parametric interval analysis. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(5): 37-44.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I5/37

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