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基于遗传算法和可靠性分析的乘员约束系统优化
引用本文:高晖,李光耀,李铁柱.基于遗传算法和可靠性分析的乘员约束系统优化[J].汽车工程,2008,30(12).
作者姓名:高晖  李光耀  李铁柱
基金项目:国家自然科学基金重点项目 , 教育部长江学者与创新团队计划资助  
摘    要:为提高乘员假人在CNCAP正面碰撞中的得分,在对某车的仿真模型进行试验验证基础上用遗传算法优化约束系统相关参数,优化目标是使假人头部、颈部和胸部的伤害值最小。然后根据可靠性的要求合理选择了参数的取值范围。

关 键 词:汽车碰撞  乘员约束系统  优化  遗传算法  可靠性

Optimization of Occupant Restraint System Based on Genetic Algorithm and Reliability Analysis
Gao Hui,Li Guangyao,LI Tiezhu.Optimization of Occupant Restraint System Based on Genetic Algorithm and Reliability Analysis[J].Automotive Engineering,2008,30(12).
Authors:Gao Hui  Li Guangyao  LI Tiezhu
Abstract:In order to improve CNCAP rating,genetic algorithm is employed to optimize some parameters of an occupant restraint system based on a simulation model verified by test in advance with an objective of minimizing the overall injury in head,neck and chest of occupant.Then the reasonable ranges of system parameters are chosen according to reliability requirements.
Keywords:vehicle crash  occupant restraint system  optimization  genetic algorithm  reliability
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