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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
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  • 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

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