基于PCE的运动机构时变可靠性灵敏度分析
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- 英文论文题名：Polynomial Chaos Based Time-Dependent Reliability Sensitivity Analysis for Mechanism
- 论文作者：袁莹莹 ; 张旭辉 ; 杜绍华 ; 王征宇
- 英文论文作者：Yuan Yingying ; Zhang Xuhui ; Du Shaohua ; Wang Zhengyu ; HUNAN CRRC Times Electric Vehicle Co. ; Ltd. ; CRRC Research of Electrical Technology & Material Engineering
- 年：2016
- 作者机构：湖南中车时代电动汽车股份有限公司电驱动系统事业部;中车电气技术与材料工程研究院基础与平台研发部;
- 论文关键词：可靠性灵敏度 ; PCE ; 时变 ; 退化
- 英文论文关键词：reliability sensitivity ; PCE ; time-dependent ; degradation
- 会议召开时间：2016-10-26
- 会议录名称：2016中国汽车工程学会年会论文集
- 英文会议录名称：Proceedings of 2016 SAE-China Congress
- 语种：中文
- 分类号：U463
- 学会代码：QCGC
- 会议名称：2016中国汽车工程学会年会暨展览会
- 会议地点：中国上海
- 主办单位：中国汽车工程学会
- 学会名称：中国汽车工程学会
- 页数：4
- 文件大小：224k
- 原文格式：O
- 会议级别：全国
摘要
针对长周期退化运动机构的时变极限状态函数是隐性的,难以开展时变可靠性灵敏度分析的问题,本文首先利用时变混沌多项式展开(PCE,Polynomial chaos expansions)来模拟模型的不确定性输出;其次,基于时变PCE,将隐性的时变极限状态函数显示化,从而支持快速求取时变可靠性灵敏度指标的目的;最后,针对公交客车前后门收放机构,求取其时变可靠性灵敏度指标,并通过与蒙特卡洛仿真对比,验证该方法的有效性和适用性。
Very few methods can be applied for the reliability SA for long-term degeneracy mechanism especially when the time-dependent limit state function is implicit.First,PCE is employed to approximate the uncertain output of the model.Then,the explicit limit state function can be obtained and the reliability sensitivity measures can be calculated straightforward.Finally,compute the time-dependent reliability sensitivity measures using this approach.Good agreement is observed between the results calculated based on the MCS and the proposed method,which proves that the proposed method is efficient and applicable.
Very few methods can be applied for the reliability SA for long-term degeneracy mechanism especially when the time-dependent limit state function is implicit.First,PCE is employed to approximate the uncertain output of the model.Then,the explicit limit state function can be obtained and the reliability sensitivity measures can be calculated straightforward.Finally,compute the time-dependent reliability sensitivity measures using this approach.Good agreement is observed between the results calculated based on the MCS and the proposed method,which proves that the proposed method is efficient and applicable.
引文
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[4]Karamcha ndani A,Cornell C A.Sensitivity estimation within first and second order reliability methods[J].Structural Safety,1992,11(2):95-107.
[2]Xiongming L,Zhenghui W.Research on reliability sensitivity for ranking the importance of random influential factors[C].Software Engineering and Service Science(ICSESS),2011 IEEE 2nd International Conference 2011:235-238.
[3]Sues R H,Cesare M A.System reliability and sensitivity factors via the MPPSS method[J].Probabilistic Engineering Mechanics,2005,20(2):148-157.
[4]Karamcha ndani A,Cornell C A.Sensitivity estimation within first and second order reliability methods[J].Structural Safety,1992,11(2):95-107.