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Effect of non-structural masonry brick infill walls on the robustness of a RC framed building severely damaged due to a landslide

机译:非结构砖砌填充墙对因滑坡而严重受损的RC框架建筑物的坚固性的影响

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摘要

Western countries are increasingly demanding for robust structures, i.e., structures capable of withstanding local damage caused by unforeseen extreme events without triggering a progressive collapse, thus reducing the magnitude and proportion of the resulting consequences.In this paper, the robustness of framed RC buildings is analysed by comparing the reliability of the damaged structure with that of the original structure and considering (or not) the contribution of the masonry infill walls. To validate the adopted methodology, this is tested on a residential RC building severely damage due to a landslide, herein considered as case-study. A numerical model of the original, as well as, of the damaged structure is defined using force-based finite elements with distributed plasticity. Masonry infill walls are modelled as equivalent internal struts. Monte Carlo simulation and FORM coupled with artificial neural networks and response surface polynomials are used in parallel to perform the reliability analyses of both original and damaged structures. Obtained results show that the masonry infill walls are fundamental to contain damage progression after the failure of a couple of columns. In fact, without these non-structural elements, the structure would lack in robustness, and the probability of failure would be above 99%. On the contrary, by considering the structural contribution of the masonry infill walls, the robustness of the structure would be circa of 30% corresponding to a failure probability of 6%.
机译:西方国家对坚固结构的要求越来越高,例如,能够承受不可预见的极端事件而不会引发逐渐倒塌的结构,从而降低了后果的程度和比例。通过比较受损结构与原始结构的可靠性并考虑(或不考虑)砌体填充墙的影响进行分析。为了验证所采用的方法,在住宅RC建筑物中由于滑坡而造成的严重破坏进行了测试,此处将其视为案例研究。使用具有分布可塑性的基于力的有限元定义了原始结构以及受损结构的数值模型。砌体填充墙建模为等效的内部支撑。并行使用蒙特卡罗模拟和FORM以及人工神经网络和响应面多项式对原始结构和受损结构进行可靠性分析。所得结果表明,砌体填充墙是防止几根柱子失效后破坏进程的基础。实际上,如果没有这些非结构性元素,结构将缺乏鲁棒性,并且发生故障的可能性将超过99%。相反,考虑到砌体填充墙的结构影响,该结构的坚固性约为30%,对应于6%的破坏概率。

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