结构工程
概率逻辑
可靠性(半导体)
桥(图论)
贝叶斯网络
非线性系统
贝叶斯概率
贝叶斯推理
工程类
计算机科学
可靠性工程
机器学习
人工智能
内科学
物理
医学
功率(物理)
量子力学
作者
Ming Yuan,Yun Liu,Donghuang Yan,Yongming Liu
标识
DOI:10.1177/1369433218799545
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 concrete bridge according to the proposed framework. The proposed methodology is demonstrated using an experimental example for fatigue life prediction of a concrete box-girder. Comparison with experimental data of fatigue life shows a satisfactory accuracy using the proposed methodology, and the ratio of the posterior predicted mean (updating time n = 8) to the test value decreases to 33%–1% in the current investigation.
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