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改进响应面法在汽车正面抗撞性优化中的应用
引用本文:陈潇凯,李邦国,林逸.改进响应面法在汽车正面抗撞性优化中的应用[J].北京理工大学学报,2009,29(12):1076-1080.
作者姓名:陈潇凯  李邦国  林逸
作者单位:北京理工大学,机械与车辆学院,北京,100081;北京理工大学,机械与车辆学院,北京,100081;北京理工大学,机械与车辆学院,北京,100081
基金项目:国家"八六三"计划项目 
摘    要:为提高汽车正面抗撞性,提出了精确收敛于当前设计点的改进的响应面方法,并将该方法与最优拉丁方试验设计方法相结合,建立了汽车全宽正面碰撞过程中B柱加速度峰值的代理模型. 基于该代理模型使用序列二次规划算法对多组结构参数进行优化. 结果表明,使用改进的响应面法建立的代理模型具有较高精度,基于代理模型优化后汽车B柱的加速度峰值降低18.2%. 该研究为汽车正面抗撞性优化提供了一种快速便捷的方法.

关 键 词:车辆工程  响应面法  代理模型  正面碰撞  优化
收稿时间:2009/1/12 0:00:00

Application of Improved RSM in the Optimization Design of Automotive Frontal Crashworthiness
CHEN Xiao-kai,LI Bang-guo and LIN Yi.Application of Improved RSM in the Optimization Design of Automotive Frontal Crashworthiness[J].Journal of Beijing Institute of Technology(Natural Science Edition),2009,29(12):1076-1080.
Authors:CHEN Xiao-kai  LI Bang-guo and LIN Yi
Institution:School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Abstract:To increase the frontal crashworthiness of automobiles, an improved response surface method (RSM) which has accurate convergence characteristics at the current design is presented, and the methodology is firstly used with optimal Latin hypercube sampling (LHS) to build the surrogate model of B-pillar acceleration peak value in full frontal crash. Many structure parameters are optimized using sequential quadratic program (SQP) based on the surrogate model. The results show that the improved RSM has high accuracy, and the acceleration peak value of B-pillar decreases nearly 18.2% after optimization. The research provides a facilitating approach for the optimization design of automotive frontal crashworthiness.
Keywords:vehicle engineering  response surface method (RSM)  surrogate model  frontal crash  optimization
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