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Seismic fragility and vulnerability curves for the Italian residential building stock
Structure and Infrastructure Engineering ( IF 3.7 ) Pub Date : 2021-06-18 , DOI: 10.1080/15732479.2021.1936568
Angelo Anelli 1 , Federico Mori 1 , Massimiliano Moscatelli 1
Affiliation  

Abstract

In Italy, the recent regulatory and legislative developments relevant to the seismic risk mitigation of the existing building stock aim to propose tax deductions and simple but reliable approaches for the quantitative evaluation of the beneficial impacts of seismic retrofitting. Nevertheless, currently policy makers need tools and models able to assess the seismic risk and the cost/benefit of the strengthening interventions at regional/national level in order to plan future mitigation policies and be aware of the effectiveness of measures taken. To this aim, this article proposes a heuristic vulnerability model for large-scale applications. Starting from macroseismic approaches widely used in Europe, fragility and vulnerability curves for masonry and RC buildings are calibrated using a specific procedure based on the new Italian ‘guidelines for the seismic risk classification of constructions’ approved in January 2020, namely the so-called ‘Sisma Bonus.’ According to the construction material, building type and number of floors, the developed curves are defined in terms of vulnerability and height classes. The derived vulnerability model can be used in exposure models which rely on poor census data. Finally, it is compared with existing vulnerability models and the comparisons are analysed to demonstrate the effectiveness of the proposed model.



中文翻译:

意大利住宅建筑群的地震脆弱性和脆弱性曲线

摘要

在意大利,最近与现有建筑存量的地震风险缓解相关的监管和立法发展旨在提出减税和简单但可靠的方法,以定量评估地震改造的有益影响。然而,目前政策制定者需要能够评估地震风险和区域/国家层面加强干预措施的成本/收益的工具和模型,以便规划未来的缓解政策并了解所采取措施的有效性。为此,本文提出了一种适用于大规模应用的启发式漏洞模型。从欧洲广泛使用的宏观地震方法开始,砌体和 RC 建筑物的脆弱性和易损性曲线使用特定程序校准,该程序基于 2020 年 1 月批准的新意大利“建筑地震风险分类指南”,即所谓的“Sisma Bonus”。根据建筑材料、建筑类型和楼层数,开发的曲线根据脆弱性和高度等级定义。导出的脆弱性模型可用于依赖较差的人口普查数据的暴露模型。最后,将其与现有的漏洞模型进行比较,并对比较进行分析,以证明所提出模型的有效性。开发的曲线是根据脆弱性和高度等级定义的。导出的脆弱性模型可用于依赖较差的人口普查数据的暴露模型。最后,将其与现有的漏洞模型进行比较,并对比较进行分析,以证明所提出模型的有效性。开发的曲线是根据脆弱性和高度等级定义的。导出的脆弱性模型可用于依赖较差的人口普查数据的暴露模型。最后,将其与现有的漏洞模型进行比较,并对比较进行分析,以证明所提出模型的有效性。

更新日期:2021-06-18
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