Reliability updating with inspection and monitoring data in deteriorating reinforced concrete slabs

Reliability updating with inspection and monitoring data in deteriorating reinforced concrete slabs
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利用老化钢筋混凝土板的检查和监测数据进行可靠性更新

DOI:
10.1201/b11332-340
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发表时间:
2011
影响因子:
7.4
通讯作者:
D. Štraub
D. Štraub
中科院分区:
工程技术1区
文献类型:
--
作者:
D. Štraub

文献摘要

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腐蚀是工程结构中常见的现象;实例包括RC结构中的钢筋腐蚀、船体中的钢板腐蚀或管道中的局部腐蚀。这些腐蚀机制通常受到随机空间变化的影响,这是由于空间上影响因素的随机变化。在评估检查和测量对此类结构可靠性的影响时,必须考虑这种空间变异性:由于不同点的影响因素之间的相关性,在一个位置获得的测量结果包含其他位置腐蚀过程的信息。本文提出了一种新的可靠性更新算法[Straub D.概率工程力学,26(2):254-258,2011],对钢筋混凝土腐蚀连续性测量的空间可靠性进行了分析。该算法具有计算效率高、鲁棒性好等优点,便于在大型腐蚀结构系统可靠性更新中的应用。该方法被应用到一个例子混凝土板受氯离子引起的钢筋腐蚀,其中的混凝土保护层深度和氯离子剖面的空间测量是可用的。
Corrosion is a common phenomenon in engineering structures; examples include corrosion of the reinforcement in RC structures, corrosion of steel plates in ship hulls or localized corrosion in pipelines. These corrosion mechanisms are generally subject to random spatial variability, due to random changes in in-fluencing factors over space. When assessing the effect of inspections and measurements on the reliability of such structures, it is essential to account for this spatial variability: Due to correlation among influencing fac-tors at separate points, the measurement results obtained at one location contain information on the corrosion process at other locations. In this paper, a novel algorithm for reliability updating [Straub D. Probabilistic En-gineering Mechanics, 26(2): 254–258, 2011] is adopted to the spatial reliability analysis of RC corrosion con-ditional on measurements. The algorithm is computationally efficient and robust, thus facilitating the applica-tions to reliability updating of large-scale structural systems subject to corrosion. The method is applied to an example concrete slab subject to chloride induced corrosion of the reinforcement, for which spatial measure-ments of concrete cover depth and chloride profiles are available.