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首页> 外文期刊>Bulletin of earthquake engineering >Seismic risk and loss estimation for the building stock in Isfahan. Part I: exposure and vulnerability
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Seismic risk and loss estimation for the building stock in Isfahan. Part I: exposure and vulnerability

机译：伊斯法罕建筑股的地震风险与损失估计。 第一部分：暴露和漏洞

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摘要

This paper focuses on the exposure and fragility/vulnerability of the residential, mixed residential/commercial, and public building stock of the city of Isfahan, in Central Iran, and constitutes the first part of a seismic risk assessment study for that city. To determine the assets at risk, we first summarize the details of the building stock and population from the available georeferenced 2011 Census data. From this dataset and from a local survey of the city, we categorize the building taxonomy in 27 construction classes characterized by age, height, and material/lateral-load-resisting system. A building exposure model is then assembled by first dividing Isfahan in city blocks and then by assigning the appropriate statistical properties to the buildings, such as construction class, built area, and replacement cost. The population of each city block is also estimated and accounted for. To assess the fragility and vulnerability to earthquake ground motion, for each building class we performed nonlinear dynamic analysis of multiple equivalent single-degree-of-freedom systems. This process generated a set of class- and region-specific fragility and vulnerability functions that considered both record-to-record and building-to-building response variability. In the companion paper we used the exposure model and the fragility and vulnerability curves generated for all these asset classes to probabilistically assess the seismic risk of Isfahan.
机译：本文件重点关注伊朗中部伊斯法罕市住宅、混合住宅/商业和公共建筑存量的暴露和脆弱性，并构成该市地震风险评估研究的第一部分。为了确定处于风险中的资产，我们首先从可用的地理参考2011年人口普查数据中总结建筑存量和人口的详细信息。根据该数据集和对该市的本地调查，我们将建筑分类划分为27个建筑类别，以年龄、高度和材料/抗横向荷载系统为特征。然后，通过首先将伊斯法罕划分为城市街区，然后将适当的统计特性分配给建筑物，如建筑类别、建筑面积和重置成本，构建建筑暴露模型。还对每个城市街区的人口进行了估计和说明。为了评估地震地面运动的脆弱性和脆弱性，我们对每个建筑类别进行了多个等效单自由度系统的非线性动力分析。这一过程产生了一组特定于类别和区域的脆弱性和脆弱性函数，这些函数既考虑了记录与记录之间的差异，也考虑了建筑与建筑之间的响应差异。在配套论文中，我们使用了风险敞口模型以及为所有这些资产类别生成的脆弱性和脆弱性曲线，对伊斯法罕的地震风险进行了概率评估。

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