摘要
针对汽车正面碰撞中某些参数的概率分布函数中包含不确定的区间变量的问题,构建了一种汽车正面碰撞混合不确定可靠性优化模型,将基于误差比例选择技术的最优多项式模型引入整车碰撞分析中。由于存在区间参数,内层通过限制可靠度的区间下界建立概率约束,从而保证车身结构的安全性。采用了一种基于漂移向量的高效解耦算法,将嵌套优化问题转换为确定性优化和混合可靠性分析的序列迭代过程,避免了内外层嵌套寻优,实现了汽车正面碰撞可靠性优化的高效性。结果表明:优化后防撞梁、吸能盒和前纵梁的总质量减轻了2.35%,所有约束可靠度指标均得到满足,实现了保证车身轻量化要求下的车身和乘员安全性可靠性优化的目标。
Aiming at the problem that the probability distribution functions of some parameters in frontal crash contain uncertain interval variables,a hybrid uncertain reliability-based optimization model for vehicle frontal crash is constructed,and the optimal polynomial model based on error ratio selection technique is introduced to vehicle crash analysis.Due to the existence of interval parameters,the probabilistic constraints in inner layer are established by limiting the lower bound of reliability interval,thus ensuring the safety of body structure.An efficient shifting vector-based decoupling algorithm is adopted,which converts the nested optimization problem into deterministic optimization and sequential iterative process of hybrid reliability analysis,avoiding nested optimization between inner and outer layers,achieving efficient reliability optimization for vehicle frontal crash.The results indicate that after optimization,the total mass of bumper beam,energy-absorbing boxes and front longitudinal beams reduces by 2.4% and all the constraints of reliability indicators have been met,hence realizing the reliability optimization for the safety of vehicle body and occupants while ensuring the lightweighting of vehicle body.
作者
王琼
黄志亮
Wang Qiong;Huang Zhiliang(Hunan University,State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha 410082;School of Mechanical and Electrical Engineering,Hunan City University,Yiyang 413002)
出处
《汽车工程》
EI
CSCD
北大核心
2019年第5期545-549,563,共6页
Automotive Engineering
基金
国家自然科学基金创新研究群体项目(51621004)资助
关键词
正面碰撞可靠性优化
概率-区间混合不确定性
最优多项式模型
漂移向量
reliability-based optimization of frontal crash
probability-interval mixed uncertainty
optimal polynomial model
shifting vector
作者简介
通信作者:王琼,博士研究生,E-mail:quan0726@126.com。
