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作 者:黄焕军[1] 张博文[1] 吴光强[1,2] 李凡[1]
机构地区:[1]同济大学汽车学院,上海201804 [2]东京大学生产技术研究所
出 处:《汽车工程》2016年第9期1107-1113,共7页Automotive Engineering
基 金:国家863计划项目(2012AA111802)资助
摘 要:本文对比分析了4种单一代理模型和两种组合代理模型的预测能力,并基于各代理模型进行正面碰撞安全性多目标优化,结果发现,组合代理模型不仅具有较好的预测精度和稳健性,还能促进最优解的搜索。基于上述分析,采用组合代理模型拟合正面碰撞、侧面碰撞和白车身模态分析的各种响应,建立针对安全性的车身结构多学科优化模型,并用协同优化方法求解。结果表明:组合代理模型在多目标优化中有利于得到更满意的最优解;基于组合代理模型的车身结构多学科设计优化有效改善了汽车的碰撞安全性,并兼顾了轻量化和NVH性能。The prediction abilities of four individual surrogates and two ensembles of surrogates are comparatively analyzed,and multi-objective optimizations on the safety of vehicle frontal crash are conducted based on different surrogate models with a result revealing that ensemble of surrogates not only have better prediction accuracy and robustness,but also can promote the search of optimal solutions. On the basis of above analyses, ensembles of surrogates are adopted to fit various responses to frontal crash,side impact and body- in-white modal analyses,and a model for multidisciplinary design optimization (MDO ) of vehicle body structure safety is established and solved by collaborative optimization method. T he results show that ensemble surrogates are conducive to getting more satisfac-tory optimal solutions in multi-objective optimizations and the ensemble surrogates-based MDO for vehicle-body structure effectively improves the crash safety of vehicles with good lightweight and NVH performances.
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