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汽车安全与节能学报

JASE ›› 2017, Vol. 08 ›› Issue (02): 205-212.DOI: 10.3969/j.issn.1674-8484.2017.02.014

• 汽车节能与环保 • 上一篇    

基于序列Kriging 模型的汽车车身轻量化可靠性优化设计

李方义1,2，文忠武1，刘杰3，荣见华1，李凤玲1   

  1. 1. 长沙理工大学 工程车辆安全性设计与可靠性技术湖南省重点实验室，长沙 410114，中国；
    2. 长安大学 汽车运输安全保障技术交通行业重点实验室，西安 710064，中国；
    3. 湖南大学 机械与运载工程学院，长沙 410082，中国
  • 收稿日期:2017-03-03 出版日期:2017-06-25 发布日期:2017-07-04
  • 基金资助:

    国家自然科学基金资助项目(11302033, 11372055, 51408069）；汽车运输安全保障技术交通行业重点实验室开放课题资助项目(2014G1502013) ；长沙理工大学工车辆安全性设计与可靠性技术湖南省重点实验室开放基金资助项目(KF1508) ；湖南省教育厅科研资助项目(17C0044)。

Reliability-based design optimization for lightweight design of vehicle body based on sequential Kriging model

LI Fangyi1,2, WEN Zhongwu1, LIU Jie3, RONG Jianhua1, LI Fengling1   

  1. 1. Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha
    University of Science and Technology, Changsha 410114, China; 2. Key Laboratory for Automotive Transportation Safety
    Enhancement Technology of the Ministry of Communication, Chang’an University, Xi’an 710064, China;
    3. College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
  • Received:2017-03-03 Online:2017-06-25 Published:2017-07-04
  • About author:国家自然科学基金资助项目(11302033, 11372055, 51408069）；汽车运输安全保障技术交通行业重点实验室开放课题资助项目(2014G1502013) ；长沙理工大学工车辆安全性设计与可靠性技术湖南省重点实验室开放基金资助项目(KF1508) ；湖南省教育厅科研资助项目(17C0044)。

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摘要：

为减少汽车车身轻量化可靠性优化设计的计算量并提高优化设计的精度，提出一种序列Kriging 可靠性优化设计方法。以整车质量作为优化目标，选取整车耐撞性指标作为可靠性约束，建立可靠性优化设计模型。采用Latin 超立方试验设计生成汽车正面碰撞有限元仿真模型的样本数据进行计算，根据有限元仿真结果构建目标和约束函数的Kriging 近似模型；采用序列优化与可靠性评定方法(SORA) 将该嵌套优化问题解耦为单层次优化问题；优化每一迭代步，基于Kriging 模型采用功能度量法评定概率约束。 结果表明：所提方法满足工程设计所需的效率和精度要求， 满足了整车安全性、轻量化和可靠性设计要求，整车质量减少约1.4%。

关键词:  , 汽车轻量化, 耐撞性, Kriging 模型, 可靠性优化设计, 序列优化

Abstract:

A reliability-based design optimization method was presented based on the sequential Kriging method to decrease the computational intensity and to improve the accuracy of the traditional reliability-based design optimization of automobile body structure for the lightweight design of vehicle body. The vehicle mass was selected as the objective of optimization, and the crashworthiness responses were chosen as the reliability constraints to establish the reliability optimization design model. The sampling data of finite element model forvehicle frontal crash was generated and calculated by using the Latin hypercube design of experiment, and Kriging models for objective and constraint functions were built up according to the simulation results to improve the computational efficiency. The sequential optimization and reliability assessment (SORA) method was used to decouple the nested optimization into a single level optimization. On each iteration, a performance measure method was adopted to evaluate probabilistic constraints based on Kriging model to enhance the computational accuracy. The results show that the method can meet the needs of the efficiency and accuracy for the engineering design, and meet the reqirements of automotive safety, light weight and reliability. The vehicle mass is reduced by about 1.4%.

Key words:  vehicle body lightweight, crashworthiness, Kriging model, reliability-based design optimization, sequential optimization