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Probabilistic modelling of deterioration of reinforced concrete structures
Structural Safety ( IF 5.8 ) Pub Date : 2024-02-26 , DOI: 10.1016/j.strusafe.2024.102454
Dimitri V. Val , Carmen Andrade , Miroslav Sykora , Mark G. Stewart , Emilio Bastidas-Arteaga , Jan Mlcoch , Quynh Chau Truong , Charbel-Pierre El Soueidy

Reinforced concrete (RC) structures deteriorate over time which affects their strength and serviceability. To develop measures for protecting new RC structures against deterioration and assess the condition of existing RC structures subjected to deterioration an understanding of the deterioration processes and the ability to predict their development, including structural consequences, are essential. This problem has attracted significant attention from researchers, including those working in the area of structural reliability (in particular within the JCSS) since there are major uncertainties associated with the deterioration processes and their structural effects. The paper presents an overview of the probabilistic modelling of various deterioration processes affecting RC structures such as corrosion of reinforcing steel, freezing-thawing, alkali-aggregate reaction, sulphate attack and fatigue, and their structural implications, including the historical perspective and current state-of-the-art. It also addresses the issues related to the inspection/monitoring of deteriorating RC structures and the analysis of collected data taking into account relevant uncertainties. Examples illustrating the application of the presented probabilistic models are provided. Finally, the current gaps in the knowledge related to the problem, which require further attention, are discussed.

中文翻译:

钢筋混凝土结构劣化的概率建模

钢筋混凝土 (RC) 结构会随着时间的推移而老化,从而影响其强度和使用性能。为了制定保护新钢筋混凝土结构免遭劣化的措施并评估现有钢筋混凝土结构遭受劣化的状况,了解劣化过程以及预测其发展(包括结构后果)的能力至关重要。这个问题引起了研究人员的极大关注,包括结构可靠性领域的研究人员(特别是 JCSS 内的研究人员),因为劣化过程及其结构影响存在很大的不确定性。本文概述了影响 RC 结构的各种劣化过程的概率模型,例如钢筋腐蚀、冻融、碱骨料反应、硫酸盐侵蚀和疲劳及其结构影响,包括历史观点和现状。最先进的。它还解决了与检查/监测恶化的钢筋混凝土结构以及在考虑相关不确定性的情况下分析收集的数据相关的问题。提供了说明所提出的概率模型的应用的示例。最后,讨论了当前与该问题相关的知识空白,需要进一步关注。
更新日期:2024-02-26
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