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Probabilistic fatigue life prediction for concrete bridges using Bayesian inference

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成果类型:
期刊论文
作者:
Yuan, Ming*;Liu, Yun;Yan, Donghuang;Liu, Yongming
通讯作者:
Yuan, Ming
作者机构:
[Yuan, Ming; Yan, Donghuang] Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.
[Liu, Yun] Hunan Commun Polytech, Inst Rd & Bridge Engn, Changsha, Hunan, Peoples R China.
[Liu, Yongming] Arizona State Univ, Sch Engn Matter Transport & Energy, Tempe, AZ USA.
通讯机构:
[Yuan, Ming] C
Changsha Univ Sci & Technol, Sch Civil Engn, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Bayesian network;bridge;concrete;fatigue life prediction;nonlinear
期刊:
Advances in Structural Engineering
ISSN:
1369-4332
年:
2019
卷:
22
期:
3
页码:
765-778
基金类别:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research reported in this article was conducted with the financial supports from the National Basic Research Program of China (Grant No. 2015CB057706), the National Science Fund of China (Grant No. 51108046, 51678068), the National Science Fund of Hunan Province (Grant No. 2017JJ5029), and the Hunan Province Engineering Laboratory of Bridge Structure (CSUST) (Grant No. 15QLTD04, 16KD02). The supports are gratefully acknowledged.
机构署名:
本校为第一且通讯机构
院系归属:
土木工程学院
摘要:
A probabilistic fatigue life prediction framework for concrete bridges is proposed in this study that considers the stress history from the construction stage to the operation stage. The proposed fatigue analysis framework combines the fatigue crack growth-based material life prediction model and a nonlinear structural analysis method. A reliability analysis is proposed using the developed probabilistic model to consider various uncertainties associated with the fatigue damage. A Bayesian network is established to predict the fatigue life of a ...

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