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Probabilistic analysis of degradation of façade claddings using Markov chain models

机译:马尔可夫链模型对立面覆层退化的概率分析

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摘要

In this study, the time-dependent stochastic degradation of three types of claddings is analysed. For this purpose, 203 fac¸ades with stone claddings(directly adhered to the substrate), 195 with adhered ceramic claddings and 220 with painted surfaces were analysed. All the fac¸ades are located in Lisbon, Portugal. Their degradation condition was assessed through an extensive field work. Based on the data gathered, Markov chains are used to predict the degradation of claddings and to understand, in some detail, how the characteristics of the claddings contribute to the overall degradation. The results show that the distance from the sea and exposure to damp are significant to the degradation of all types of cladding. The type and size of stone plates also influence the degradation of stone claddings. The exposure to wind-rain action has a high impact on the degradation of ceramic claddings. The models proposed provide useful information on the probability of failure of the claddings; these results are fundamental in the context of insurance policies and in the definition of building maintenance plans.
机译:在这项研究中,分析了三种类型的覆层随时间的随机降解。为此,分析了203个带有石质立面(直接粘附到基材)的立面,195个带有粘附性陶瓷立面的立面和220个带有涂漆表面的立面。所有的幕墙都位于葡萄牙的里斯本。通过广泛的现场工作评估了它们的降解条件。基于收集的数据,马尔可夫链可用于预测覆层的退化,并更详细地了解覆层的特性如何导致整体退化。结果表明,离海的距离和暴露于潮湿的环境对所有类型的覆层的退化都具有重要意义。石材板的类型和尺寸也会影响石材覆层的退化。风雨作用对陶瓷覆层的降解有很大影响。所提出的模型提供了有关覆层失效概率的有用信息。这些结果对于保险单和建筑物维护计划的定义至关重要。

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