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首页> 外文期刊>Journal of Engineering Mechanics >Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods
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Time-Dependent Reliability Model of Deteriorating Structures Based on Stochastic Processes and Bayesian Inference Methods

机译:基于随机过程和贝叶斯推理方法的变质结构时变可靠性模型

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摘要

Performance and reliability of structures will deteriorate with time as a result of the effects of various loads and the environment. This paper aims to develop a time-dependent reliability model of deteriorating structures that considers both aging effects and random shocks. First, a deteriorating model is proposed in which the aging effect is modeled as a gamma process while random shock is described by a Poisson process. The time-dependent reliability of the structural components is then evaluated based on the model. To incorporate the effects of model uncertainties, Bayesian inference methods are further integrated with the reliability model to update the uncertain parameters in the model using sampling data. Numerical examples demonstrate that the proposed model provides a reasonable method for evaluating the reliability of deteriorating structures containing model uncertainties. (C) 2014 American Society of Civil Engineers.
机译:由于各种负载和环境的影响,结构的性能和可靠性将随着时间的推移而下降。本文旨在建立考虑老化影响和随机冲击的劣化结构的时变可靠性模型。首先,提出了一种恶化模型,其中老化效应被建模为伽马过程,而随机冲击通过泊松过程来描述。然后根据模型评估结构部件随时间的可靠性。为了合并模型不确定性的影响,将贝叶斯推断方法与可靠性模型进一步集成在一起,以使用采样数据更新模型中的不确定性参数。数值算例表明,所提出的模型为评估包含模型不确定性的劣化结构的可靠性提供了一种合理的方法。 (C)2014美国土木工程师学会。

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