Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process

被引:35
|
作者
Yang, Yiming [1 ,5 ]
Peng, Jianxin [2 ]
Cai, C. S. [3 ]
Zhou, Yadong [4 ]
Wang, Lei [2 ]
Zhang, Jianren [2 ]
机构
[1] Hunan City Univ, Sch Civil Engn, Yiyang 413000, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China
[3] Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA
[4] State Key Lab Hlth & Safety Bridge Struct, Wuhan 430034, Hubei, Peoples R China
[5] Hunan City Univ, Hunan Engn Res Ctr Struct Safety & Disaster Preve, Yiyang 413000, Hunan, Peoples R China
关键词
Aging structure; Reliability; Resistance; Stochastic degradation; Random field; Gamma process; INVERSE GAUSSIAN PROCESS; SPATIAL VARIABILITY; RANDOM-FIELDS; GAMMA PROCESS; DETERIORATION; MODELS; SIMULATION; CORROSION; FRAGILITY; APPROXIMATION;
D O I
10.1016/j.ress.2021.108105
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reasonable assessment of structural resistance degradation and reliability is the premise of formulating targeted maintenance strategy of aging structures. In this paper, a Gamma-based stochastic resistance degradation model is developed by incorporating the spatial degradation into a non-stationary degradation process. Then, based on the hazard-function-based reliability analysis method, a novel reliability assessment approach of aging structures is proposed considering stochastic degradation process of resistance. In addition, a simple case analysis of concrete bridge is used to illustrate the application of the proposed method. The case analysis results show that the resistance degradation presents great discontinuities in time and large spatial variability in the middle and later service period of structures. After 50 years of service, the resistance degradation coefficient considering the effect of spatial degradation process is 13.8% lower than that without consideration in this case. Parametric analyses show that an increase of the shape and scale parameters of mean resistance degradation model will significantly increase the cumulative failure probability of structures. This conclusion is also applicable to the non-stationary vehicle load effect model of case bridge. Additionally, ignoring the spatial variability of resistance degradation and the non-stationary nature of the vehicle load effect will overestimate the reliability of aging structures.
引用
收藏
页数:13
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