不同地震下的校园建筑震害与经济损失对比
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摘要
城市抗震弹塑性分析方法广泛地应用于地震灾害分析领域,其将强震记录输入目标区域建筑模型进行非线性时程分析,得到目标区域的建筑破坏情况。然而,不同地震的目标区域各不相同,难以对比不同地震的破坏能力。因此,该文以清华校园作为目标区域,将若干条近年来的强震记录和2组模拟地震动输入校园建筑进行分析,对比不同地震下建筑的破坏状态比例,从结果可以看出地震动频谱特性对于目标区域建筑破坏状态具有较大影响。此外,该文分别利用基于FEMAP-58的方法和基于中国规范的方法对上述地震下的校园建筑进行了经济损失评价,结果表明由于计算方法差异两种方法结果有所不同,且结果受到地震动峰值加速度(PGA)影响。该文的分析结果可以为对比不同地震的破坏能力提供参考。
The city-scale nonlinear time-history analysis is widely used in the field of seismic analysis. Strong ground motion records are input into the building models of a target region for nonlinear time-history analyses to obtain damage of the buildings. However, different earthquakes have different target regions, which makes it difficult to compare the destructive capacities of different earthquakes. In this work, the damage state ratios of buildings in the campus of Tsinghua University under different earthquakes are compared using several strong ground motion records in recent years and two artificial ground motions. The results indicate that the spectral characteristics of ground motions have a great influence on the damage states of buildings in the target region. The economic loss under the earthquakes are also evaluated using the method based on FEMA P-58 and the method based on the Chinese code, respectively. The results show that the two methods have different results due to their different computing theories. Peak ground accelerations(PGAs) have some effects on the results of economic loss evaluation. The analysis results can provide a reference for the comparison of the destructive capacity of different earthquakes.
The city-scale nonlinear time-history analysis is widely used in the field of seismic analysis. Strong ground motion records are input into the building models of a target region for nonlinear time-history analyses to obtain damage of the buildings. However, different earthquakes have different target regions, which makes it difficult to compare the destructive capacities of different earthquakes. In this work, the damage state ratios of buildings in the campus of Tsinghua University under different earthquakes are compared using several strong ground motion records in recent years and two artificial ground motions. The results indicate that the spectral characteristics of ground motions have a great influence on the damage states of buildings in the target region. The economic loss under the earthquakes are also evaluated using the method based on FEMA P-58 and the method based on the Chinese code, respectively. The results show that the two methods have different results due to their different computing theories. Peak ground accelerations(PGAs) have some effects on the results of economic loss evaluation. The analysis results can provide a reference for the comparison of the destructive capacity of different earthquakes.
引文
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[2]GB 50011―2010,建筑抗震设计规范[S].北京:中国建筑工业出版社,2016.GB 50011―2010,Code for seismic design of buildings[S].Beijing:China Architecture Industry Press,2016.(in Chinese)
[3]付长华,高孟潭,俞言祥.用数值模拟方法研究北京盆地对3 s~10 s地震动的放大效应[J].地震研究,2015,38(3):448―460.Fu Changhua,Gao Mengtan,Yu Yanxiang.A study on scaling effect induced by Beijing basin on ground motions of period 3 s~10 s using numerical simulation method[J].Journal of Seismological Research,2015,38(3):448―460.(in Chinese)
[4]付长华,高孟潭,陈鲲.北京盆地结构对长周期地震动反应谱的影响[J].地震学报,2012,34(3):374―382,425.Fu Changhua,Gao Mengtan,Chen Kun.A study on long-period response spectrum of ground motion affected by basin structure of Beijing[J].Acta Seismologica Sinica,2012,34(3):374―382,425.(in Chinese)
[5]环文林,时振梁,杨玉林.1730年北京圆明园地震[J].地震研究,1996,19(3):260―266.Huan Wenlin,Shi Zhenliang,Yang Yulin.1730 Beijing Yuanmingyaun earthquake[J].Journal of Seismological Research,1996,19(3):260―266.(in Chinese)
[6]Campbell K W,Bozorgnia Y.NGA-West2 ground motion model for the average horizontal components of PGA,PGV,and 5%damped linear acceleration response spectra[J].Earthquake Spectra,2014,30(3):1087―1115.
[7]Ancheta T D,Darragh R B,Stewart J P,et al.NGA-West2 database[J].Earthquake Spectra,2014,30(3):989―1005.
[8]Xiong C,Lu X Z,Lin X C,et al.Parameter determination and damage assessment for THA-based regional seismic damage prediction of multi-story buildings[J].Journal of Earthquake Engineering,2017,21(3):461―485.
[9]Xiong C,Lu X Z,Guan H,et al.A nonlinear computational model for regional seismic simulation of tall buildings[J].Bulletin of Earthquake Engineering,2016,14(4):1047―1069.
[10]GB/T 18208.4―2011,地震现场工作第4部分:灾害直接损失评估[S].北京:地震出版社,2011.GB/T 18208.4―2011,Post-earthquake field works-Part4:Assessment of direct loss[S].Beijing:Seismological Press,2011.(in Chinese)
[11]Zeng X,Lu X Z,Yang T Y,et al.Application of the FEMA-P58 methodology for regional earthquake loss prediction[J].Natural Hazards,2016,83(1):177―192.