Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods-Reference-Cited by-同舟云学术

Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods

Published:2015-03 Issue:3 Volume:141 Page:04014123
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Huang Xiaoxu¹,Chen Jianqiao²

Affiliation:

1. Ph.D. Candidate, Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment, Dept. of Mechanics, Huazhong Univ. of Science and Technology, Wuhan 430074, Hubei, China.

2. Professor, Hubei Key Laboratory for Engineering Structural Analysis and Safety Assessment, Dept. of Mechanics, Huazhong Univ. of Science and Technology, Wuhan 430074, Hubei, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0000845

Reference37 articles.

1. An accurate analysis of maintenance cost of structures experiencing stochastic degradation

2. The probability distribution of maintenance cost of a system affected by the gamma process of degradation: Finite time solution

3. Bayesian updating of reliability of civil infrastructure facilities based on condition-state data and fault-tree model

4. Time dependent reliability of structural systems subject to deterioration

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic reliability analysis of the existing bridges based on probability density evolution method;Structures;2023-11

2. Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review;Probabilistic Engineering Mechanics;2023-07

3. A hybrid prognostic method for rotating machinery under time-varying operating conditions by fusing direct and indirect degradation characteristics;Measurement;2023-06

4. Machine learning-based methods in structural reliability analysis: A review;Reliability Engineering & System Safety;2022-03

5. Structural reliability updating using experimental data;Journal of Mechanical Science and Technology;2022-01