A Bayesian framework for uncertainty quantification of perturbed gamma process based on simulated likelihood-Reference-Cited by-同舟云学术

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A Bayesian framework for uncertainty quantification of perturbed gamma process based on simulated likelihood

Published:2023-04 Issue: Volume:72 Page:103444
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Chen Long,Huang Tianli,Zhou Hao,Chen Huapeng

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference38 articles.

1. Two probabilistic life-cycle maintenance models for deteriorating civil infrastructures;van Noortwijk;Probab. Eng. Mech.,2004

2. Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process;Yang;Reliab. Eng. Syst. Saf.,2022

3. Simulation-based approach for estimation of stochastic performances of deteriorating engineering systems;Jia;Probab. Eng. Mech.,2018

4. Gamma prediction models for long-term creep deformations of prestressed concrete bridges;Strauss;J. Civ. Eng. Manag.,2017

5. A gamma process model for the analysis of fatigue crack growth data;Guida;Eng. Fract. Mech.,2015

Cited by 1 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. Reliability assessment of civil structures with incomplete probability distribution information;Probabilistic Engineering Mechanics;2023-10

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