利用检测数据对混凝土结构剩余寿命进行贝叶斯更新

Gaowei Xu, V. Makis
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引用次数: 0

摘要

本文提出了一种混凝土结构在外荷载和检测作用下的退化模型。由于环境的影响和建筑材料的变化,结构自然会及时老化。退化过程被建模为一个伽玛过程。荷载到达的随机过程由泊松过程产生,并假定随机荷载的可变性受广义帕累托分布控制。经检验后,使用贝叶斯方法更新伽马分布的参数。这样,在每次检测后,对混凝土结构的阻力进行修正,并可以估计出相应的结构寿命分布。以混凝土梁为例说明了整个方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bayesian update of the residual life of a concrete structure using inspection data
This article presents a model of a deteriorating concrete structure subject to external load and inspection. The structure naturally deteriorates in time due to the environmental effects and the changes in the construction materials. The deterioration process is modeled as a gamma process. The stochastic process of load arrivals is generated by a Poisson process and the variability of the random loads is assumed to be governed by a generalized Pareto distribution. Upon inspection, the parameters of the gamma distribution are updated using the Bayesian method. Thus, after each inspection, the resistance of the concrete structure is modified and the corresponding lifetime distribution of the structure can be estimated. An example of concrete girders is provided to illustrate the whole methodology.
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