留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于动态Bayes网络的结构时变可靠性分析

孙鸿宾 吴子燕 刘书奎

孙鸿宾, 吴子燕, 刘书奎. 基于动态Bayes网络的结构时变可靠性分析[J]. 应用数学和力学, 2014, 35(1): 102-110. doi: 10.3879/j.issn.1000-0887.2014.01.011
引用本文: 孙鸿宾, 吴子燕, 刘书奎. 基于动态Bayes网络的结构时变可靠性分析[J]. 应用数学和力学, 2014, 35(1): 102-110. doi: 10.3879/j.issn.1000-0887.2014.01.011
SUN Hong-bin, WU Zi-yan, LIU Shu-kui. A Dynamic Bayesian Network Model for Structural Time-Dependent Reliability Analysis of Resistance Deterioration[J]. Applied Mathematics and Mechanics, 2014, 35(1): 102-110. doi: 10.3879/j.issn.1000-0887.2014.01.011
Citation: SUN Hong-bin, WU Zi-yan, LIU Shu-kui. A Dynamic Bayesian Network Model for Structural Time-Dependent Reliability Analysis of Resistance Deterioration[J]. Applied Mathematics and Mechanics, 2014, 35(1): 102-110. doi: 10.3879/j.issn.1000-0887.2014.01.011

基于动态Bayes网络的结构时变可靠性分析

doi: 10.3879/j.issn.1000-0887.2014.01.011
基金项目: 国家自然科学基金(51278420)
详细信息
    作者简介:

    孙鸿宾(1991—),男,合肥人,博士生(通讯作者. E-mail: hbsun1991@mail.nwpu.edu.cn)

  • 中图分类号: TU311.2; O342

A Dynamic Bayesian Network Model for Structural Time-Dependent Reliability Analysis of Resistance Deterioration

Funds: The National Natural Science Foundation of China(51278420)
  • 摘要: 针对存在抗力退化结构的时变可靠性问题,提出一种动态贝叶斯网络(dynamic Bayesian network, DBN)模型,以gamma过程作为抗力退化模型,并离散为Bayes网络,同时建立观测模型、可靠性模型,组合为动态Bayes网络,通过连续节点消除与离散得到仅含离散变量的动态Bayes网络;给出精确推理的3种情况,评估现在(滤波)、未来(预测)以及过去时刻(平滑)结构的状态.当测量信息出现时,对退化模型参数重新估计,利用精确推理来更新结构时变可靠性.以存在抗力退化的一跨刚架作为研究对象,验证了模型的合理性
  • [1] 吕大刚, 樊学平, 蒋伟. 结构时变可靠度方法的对比分析研究[C]//全国工程结构设计安全与可持续发展研讨会. 宁波, 2010. (Lü Da-gang, FAN Xue-ping, JIANG Wei. Structural time-dependent reliability method research[C]// Seminar of National Engineering Structure Design Safety and Sustainable Development.Ningbo, 2010.(in Chinese))
    [2] 王正, 谢里阳. 不确定性载荷作用下的零件时变可靠性模型[J]. 航空学报, 2009,30(7): 1243-1247.(WANG Zheng, XIE Li-yang. Time-variant reliability model of components under uncertain loads[J]. Acta Aeronautica et Astronautica Sinica,2009,30(7): 1243-1247.(in Chinese))
    [3] Stewart M G, Mullard J A. Spatial time-dependent reliability analysis of corrosion damage and the timing of first repair for RC structures[J]. Engineering Structure,2007,29(7): 1457-1464.
    [4] Kuniewski S P, Van der Weide J A M, Van Noortwijk J M. Sampling inspection for the evaluation of time-dependent reliability of deteriorating systems under imperfect defect detection[J]. Reliability Engineering & System Safety,2009,94(9): 1480-1490.
    [5] Liu M, Frangopol D M. Time-dependent bridge network reliability: novel approach[J]. Journal of Structural Engineering,2005,131(2): 329-337.
    [6] Van Noortwijk J M, Van der Weide J A M, Kallen M J, Pandey M D. Gamma processes and peaks-over-threshold distributions for time-dependent reliability[J]. Reliability Engineering & System Safety,2007,92(12): 1651-1658.
    [7] 张连文, 郭海鹏. 贝叶斯网引论[M]. 北京: 科学出版社, 2006.(ZHANG Lian-wen, GUO Hai-peng. Introduction to Bayesian Networks [M]. Beijing: Science Press, 2006.(in Chinese))
    [8] Jensen F V, Nielsen T D. Bayesian Networks and Decision Graphs [M]. 2nd ed. Berlin: Springer, 2007.
    [9] Abdel-Hameed M. A gamma wear process[J]. IEEE Transactions on Reliability,1975,24(2): 152-153.
    [10] Ellingwood B R, Mori Y. Probabilistic methods for condition assessment and life prediction of concrete structures in nuclear power plants[J]. Nuclear Engineering and Design,1993,142(2/3): 155-166.
    [11] Shachter R D. Evaluating influence diagrams[J]. Operations Research,1986,34(6): 871-882.
    [12] Straub D. Stochastic modeling of deterioration processes through dynamic Bayesian networks[J]. Journal of Engineering Mechanics,2009,135(10): 1089-1099.
    [13] Der Kiureghian A. First- and second-order reliability methods[C]//Nikolaidis E, Ghiocel D M, Singhal S, eds. Chap14. Engineering Design Reliability Handbook.Boca Raton, Florida: CRC Press, 2005.
  • 加载中
计量
  • 文章访问数:  1219
  • HTML全文浏览量:  85
  • PDF下载量:  1094
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-06-25
  • 修回日期:  2013-11-01
  • 刊出日期:  2014-01-15

目录

    /

    返回文章
    返回