基于协同优化方法的汽车正面抗撞性优化设计  

Multi-Objective Optimization Design of Automotive Crashworthiness Based on Collaborative Optimization Method

作　　者：王文伟[1] 李邦国[1] 陈潇凯[1] 

机构地区：[1]北京理工大学机械与车辆学院,北京100081

出　　处：《北京理工大学学报》2011年第9期1046-1048,共3页Transactions of Beijing Institute of Technology

基　　金：国家"八六三"计划项目(2006AA04Z119)

摘　　要：将最优拉丁方试验设计方法与响应面方法相结合,建立了汽车正面碰撞过程中3组加速度指标的代理模型.使用协同优化方法对该3组加速度指标进行了协同寻优.优化结果表明,优化后3组指标均有不同程度的改善,提高了汽车正面抗撞性,表明使用协同优化方法、结合近似技术和有限元技术是求解汽车抗撞性多目标设计优化问题的一种有效方法,该方法能够有效地避免传统优化方法在求解高度非线性问题时面临的困难.Based on the combination of Latin hypercubic sampling method and response surface method （RSM）, the acceleration indexes of three key positions were adopted as the subjects to investigate the automotive full frontal crashworthiness and their models were mathematically expressed. Then these three indexes were coordinated using collaborative optimization （CO）. Optimization results show that all three performance indicators are improved in varying degrees and the frontal crashworthiness are increased. In addition, the results also show that the collaborative optimization method combined with approximate technology and finite element method is an effective method to solve multi objective design optimization problem of the automotive crashworthiness, which can effectively avoid the difficulty in solving the issue of highly nonlinear problems by using traditional optimization method.

关 键 词：抗撞性 协同优化 响应面方法 多目标优化设计 

分 类 号：U463.21[机械工程—车辆工程]