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基于代理模型更新管理策略的汽车乘员约束系统优化设计

刘鑫 毛勇勇

长沙理工大学学报(自然科学版)2024,Vol.21Issue(6):87-95,9.
长沙理工大学学报(自然科学版)2024,Vol.21Issue(6):87-95,9.DOI:10.19951/j.cnki.1672-9331.20220122001

基于代理模型更新管理策略的汽车乘员约束系统优化设计

Optimization design of vehicle occupant restraint system based on surrogate model update management strategy

刘鑫 1毛勇勇2

作者信息

  • 1. 长沙理工大学 道路灾变防治及交通安全教育部工程研究中心,湖南 长沙 410114||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,湖南 长沙 410114
  • 2. 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,湖南 长沙 410114
  • 折叠

摘要

Abstract

[Purposes]This paper aims to explore the safety performance of a vehicle occupant restraint system.[Methods]An optimization design method of the vehicle occupant restraint system based on the surrogate model update management strategy was proposed.A simulation model of the occupant restraint system was established,and the accuracy and reliability of the simulation model were verified.The sensitivity analysis was performed on the occupant injury response,and the model parameters that had a greater impact on the injury response were screened out.The local evaluation index was used to judge whether to resample the local region of the surrogate model,and the resampling interval was determined.The local sample points were obtained by the optimal Latin hypercube design.Inherited Latin hypercube was employed in sampling,so as to obtain global sample points.The local and global sample points were filtered by the weighted Euclidean distance criterion,and the qualified sample points were added to the initial sample space to update the surrogate model.Finally,the potential optimal solution was searched by the intergeneration projection genetic algorithm.[Findings]The method can reduce the injury of the occupant and ensure the safety of the occupant while ensuring the accuracy of the surrogate model.[Conclusions]The proposed method can efficiently solve the optimal solution of the occupant restraint system.

关键词

乘员约束系统/灵敏度分析/代理模型/更新管理策略/隔代映射遗传算法

Key words

occupant restraint system/sensitivity analysis/surrogate model/update management strategy/intergeneration projection genetic algorithm

分类

交通工程

引用本文复制引用

刘鑫,毛勇勇..基于代理模型更新管理策略的汽车乘员约束系统优化设计[J].长沙理工大学学报(自然科学版),2024,21(6):87-95,9.

基金项目

湖南省杰出青年科学基金资助项目(2021JJ10040) (2021JJ10040)

湖南省教育厅科学研究资助项目(20K008) (20K008)

长沙理工大学道路灾变防治及交通安全教育部工程研究中心开放基金资助项目(kfj170401) Project(2021JJ10040)supported by Hunan Provincial Science Fund for Distinguished Young Scholars (kfj170401)

Project(20K008)supported by Scientific Research Project of Hunan Provincial Department of Education (20K008)

Project(kfj170401)supported by the Open Fund of Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road&Traffic Safety of Ministry of Education from Changsha University of Science&Technology (kfj170401)

长沙理工大学学报(自然科学版)

1672-9331

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