Random field-based reliability updating framework for existing RC structures incorporating the effect of spatial steel corrosion distribution

Random field-based reliability updating framework for existing RC structures incorporating the effect of spatial steel corrosion distribution
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基于随机场的现有 RC 结构可靠性更新框架,考虑了空间钢腐蚀分布的影响

DOI:
10.1080/15732479.2021.1995445
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发表时间:
2022
影响因子:
3.7
通讯作者:
Maruyama Osamu
Maruyama Osamu
中科院分区:
工程技术3区
文献类型:
--
作者:
Srivaranun Supasit;Akiyama Mitsuyoshi;Masuda Keisuke;Frangopol Dan M.;Maruyama Osamu

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近年来,与钢筋锈蚀相关的空间变异性对恶劣环境下钢筋混凝土(RC)结构的安全性和可靠性的影响引起了越来越多的关注。然而,更新的可靠性的基础上观察现有的钢筋混凝土结构仍然是一个挑战。在本文中,一个先进的框架,更新的时间相关的可靠度,将在现有的钢筋混凝土构件的空间钢筋锈蚀分布的影响。采用概率概念将与材料腐蚀相关的随机变量建模为随机场。随着粒子滤波器的应用,在RC构件上的离散位置处获得的空间观测信息可以被用来更新相关联的随机变量。这减少了与结构性能评估相关的认知不确定性。以钢筋锈蚀裂缝宽度检测结果为基础,对某钢筋混凝土桥梁进行了时变可靠度修正。研究了观测点个数和间距对结构可靠度修正的影响。结果表明,通过使用具有更多观测位置的空间观测信息,可以提高RC结构时变可靠度估计的精度。
In recent years, interest in the effect of the spatial variability associated with steel corrosion on the safety and reliability of reinforced concrete (RC) structures in harsh environments has increased. However, updating the reliability based on observations of existing RC structures remains a challenge. In this paper, an advanced framework for updating the time-dependent reliability incorporating the effect of the spatial steel corrosion distribution in existing RC members is presented. Probabilistic concepts are adopted to model random variables associated with material corrosion as random fields. With the application of a particle filter, spatially observed information obtained at discrete locations on RC members can be utilized to update the associated random variables. This reduces the epistemic uncertainty associated with structural performance assessments. In an illustrative example, time-dependent reliability updating is conducted on a RC bridge girder with the inspection results of the steel corrosion crack width. The effects of the number and space interval of observed locations on the updated structural reliability are investigated. The results demonstrate that the accuracy of the estimation of the time-dependent reliability of RC structures can be improved by using spatial observation information with a greater number of observed locations.
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