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首页> 外文期刊>Bulletin of earthquake engineering >Defining structural robustness under seismic and simultaneous actions: an application to precast RC buildings
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Defining structural robustness under seismic and simultaneous actions: an application to precast RC buildings

机译:定义地震作用和同时作用下的结构坚固性:在预制钢筋混凝土建筑中的应用

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摘要

The increasing complexity of urban systems is making robustness a crucial requirement for structural design. The paper deals with the concept of robustness of civil structures against extreme events. After a brief literature survey, a novel point of view to robustness assessment is proposed, fitting the most accepted robustness definition. The proposed approach is discussed and compared with other methodologies for quantifying structural robustness. Thus, the methodology is developed and applied to an existing precast industrial building case study, assumed to be prone to seismic and wind hazards. In particular, the case study is assumed to be located in Emilia, Italy, where a significant earthquake occurred in 2012, causing relevant damage to gravity load designed industrial buildings. Three structural options are discussed, namely a simple supported beam-column connection (gravity load designed solution) and two pinned connections (seismic designed solution), where only one of them satisfies the current structural code requirements. The results are discussed in terms of robustness quantification, by means of a robustness matrix. The authors envisage that this approach can be effectively adopted for portfolios of existing structures, to prioritize retrofitting interventions, aimed at maximizing the overall risk mitigation with limited economic resources.
机译:城市系统日益复杂,使得坚固性成为结构设计的关键要求。本文讨论了针对极端事件的土木结构坚固性的概念。经过简短的文献调查,提出了一种新颖的稳健性评估观点,适合最公认的稳健性定义。对提出的方法进行了讨论,并与其他方法进行了比较,以量化结构的稳健性。因此,该方法被开发并应用于现有的预制工业建筑案例研究中,假定该案例容易受到地震和风灾的危害。尤其是,该案例研究假设位于意大利的艾米利亚(Emilia),2012年发生了严重地震,对重力荷载设计的工业建筑造成了相关损害。讨论了三个结构选项,即简单的支撑梁柱连接(重力荷载设计解决方案)和两个销钉连接(地震设计解决方案),其中只有一个满足当前的结​​构规范要求。通过鲁棒性矩阵,在鲁棒性量化方面讨论了结果。作者设想,可以将这种方法有效地应用于现有结构的组合中,以优先进行改造措施,以最大程度地利用有限的经济资源来降低总体风险。

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