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Seismic microzonation and building vulnerability assessment based on site characteristic and geotechnical parameters by use of Fuzzy-AHP model (a case study for Kermanshah city)
Civil Engineering and Environmental Systems ( IF 1.8 ) Pub Date : 2019-10-02 , DOI: 10.1080/10286608.2019.1703960
Maryam Hassaninia 1 , Rassoul Ajalloeian 1, 2 , Mohammad Reza Habibi 3
Affiliation  

ABSTRACT On 12th November 2017, an earthquake with a magnitude of 7.3 Richter scale in the town of Sarpol-e Zahab took place that caused lots of human casualties and devastation. After the incident, issues related to the probability of an earthquake with equal intensity and extents of similar building destruction were raised in Kermanshah city. Therefore, a seismic microzonation map of Kermanshah city has been prepared based on the geotechnical, geological, and geophysical data, and the data were analysed using Fuzzy analytic hierarchy process (AHP). In the next step, the vulnerability analysis of city buildings was carried out based on the ground-shaking map, vulnerability curves, and statistical data regarding the buildings. The results of the vulnerability rate of residential buildings indicate that 80% of residential buildings would be exposed to vulnerability from low to moderate. However, other buildings would suffer 2% fully destruction (D1), 7% very high destruction (D2) and 11% high destruction (D3), respectively. Finally, according to the obtained results, the proposed model is verified with the help of the data and observations from the Sarpol-e Zahab earthquake, which reveals that the model is in good agreement with the actual earthquake data.

中文翻译:

基于场地特征和岩土参数的地震微区划分和建筑物脆弱性评估,使用模糊层次分析模型(以克尔曼沙市为例)

摘要 2017 年 11 月 12 日,Sarpol-e Zahab 镇发生里氏 7.3 级地震,造成大量人员伤亡和破坏。事件发生后,克尔曼沙赫市提出了与发生相同强度和类似建筑物破坏程度的地震的可能性有关的问题。因此,根据岩土、地质和地球物理数据制作了克尔曼沙阿市地震微区带图,并使用模糊层次分析法(AHP)对数据进行了分析。下一步,根据地震动图、脆弱性曲线和建筑物统计数据,对城市建筑物进行脆弱性分析。住宅建筑脆弱性率结果表明,80%的住宅建筑将暴露于低至中度的脆弱性。然而,其他建筑物将分别遭受 2% 的完全破坏 (D1)、7% 的极高破坏 (D2) 和 11% 的高度破坏 (D3)。最后,根据所得结果,结合Sarpol-e Zahab地震资料和观测资料对所提出的模型进行了验证,表明该模型与实际地震资料吻合较好。
更新日期:2019-10-02
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