Reliability assessment of deteriorating structures using Bayesian updated probability density evolution method (PDEM)

被引:31
作者
Fan, WenLiang [1 ,2 ,3 ]
Ang, Alfredo H. -S. [3 ]
Li, ZhengLiang [1 ,2 ]
机构
[1] Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China
[2] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China
[3] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
基金
中国国家自然科学基金;
关键词
Reliability; Deteriorating structures; Bayesian updating; Probability density evolution method; Bayesian updated generalized density evolution equation; DYNAMIC-RESPONSE ANALYSIS; DEPENDENT RELIABILITY; FRAMEWORK; BRIDGES; DESIGN;
D O I
10.1016/j.strusafe.2016.12.004
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The inspection of engineering structures is important to ensure performance; in this regard, the Bayesian updating process based on inspection data plays an essential role in the life-cycle management of engineering systems. In this paper, the probability density evolution method (PDEM), a universal approach for dynamical systems, is extended for the analysis of deteriorating structures with inspection by combining with the Bayesian updating process. Firstly, the generalized density evolution equation (GDEE) for deteriorating structures is derived. Secondly, the Bayesian updating for variables with inspection at different time instants is presented based on certain rational but simple assumptions, together with a sampling and fitting approach for the posterior PDF and the predictive one. With the Bayesian updating, the probabilistic information of variables changes, and a Bayesian updated GDEE (BU-GDEE), which is an impulsive partial differential equation and equivalent to a piecewise ordinary GDEE, is developed and proposed for deteriorating structures with inspection, including its numerical solution based on approximation via a family of E sequences. Finally, two numerical examples are analyzed to illustrate the rationale and accuracy of the modified PDEM with Bayesian updating. These examples demonstrate the fact that inspections will highly influence the reliability of deteriorating structures. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:60 / 73
页数:14
相关论文
共 53 条
[21]   Bayesian updating in the reliability assessment of maintained floating structures [J].
Garbatov, Y ;
Soares, CG .
JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2002, 124 (03) :139-145
[22]  
Ghanem R., 1991, STOCHASTIC FINITE EL, VVolume 1, P1, DOI [10.1007/978-1-4612-3094-6, DOI 10.1007/978-1-4612-3094-6]
[23]  
Gilks W.R., 1995, MARKOV CHAIN MONTE C
[24]   Assessment of reliability of aging reinforced concrete structures [J].
Hong, HP .
JOURNAL OF STRUCTURAL ENGINEERING-ASCE, 2000, 126 (12) :1458-1465
[25]  
Hua L-K, 2012, Applications of Number Theory to Numerical Analysis
[26]   Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods [J].
Huang, Xiaoxu ;
Chen, Jianqiao .
JOURNAL OF ENGINEERING MECHANICS, 2015, 141 (03)
[27]   Bayesian analysis of uncertainty for structural engineering applications [J].
Igusa, T ;
Buonopane, SG ;
Ellingwood, BR .
STRUCTURAL SAFETY, 2002, 24 (2-4) :165-186
[28]   Analysis of structural reliability under parameter uncertainties [J].
Kiureghian, Armen Der .
PROBABILISTIC ENGINEERING MECHANICS, 2008, 23 (04) :351-358
[29]   Renewal theory-based life-cycle analysis of deteriorating engineering systems [J].
Kumar, R. ;
Gardoni, P. .
STRUCTURAL SAFETY, 2014, 50 :94-102
[30]   A stochastic framework to model deterioration in engineering systems [J].
Kumar, Ramesh ;
Cline, Daren B. H. ;
Gardoni, Paolo .
STRUCTURAL SAFETY, 2015, 53 :36-43