地震状态下高层建筑物安全防护避让距离的估计研究
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2018年安徽省自然科学重点项目(KJ2018A0632)


Estimation of Safety Protective Setback Distancesof High-rise Buildings under Earthquake
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    摘要:

    高层建筑物在地震作用下易出现倒塌状况,严重影响人身安全,因此高层建筑物地震安全防护距离的预测至关重要。设计以基础数据库为核心的高层建筑物地震安全防护距离预测系统,通过高层建筑物基本信息系统采集高层建筑物高度、宽度、结构类型等基本数据信息,并将这些信息存储到震害数据库系统中;地震危害模型分析系统依据数据库系统中存储的这些建筑物基本信息,分析地震危险性后,通过研究地震时高层建筑上部结构水平、底部及顶部先接触地面三种落地状态情况下,计算得到薄弱层和薄弱层上部结构高度的安全防护距离。实验验证在人工地震波作用下,利用该预测系统可有效获取实验小区高层建筑物的安全防护距离界定示意图,且其能够准确分析地震作用下高层建筑物晃动时"飞石"安全距离,以及三种地震波作用下建筑物地震安全防护距离分布规律和主要影响范围,其预测效果好。

    Abstract:

    Since high-rise buildings are prone to collapse under the action of earthquakes, thus seriously affecting people's personal safety, prediction of seismic safety distances of high-rise buildings is very important. A prediction system for seismic safety distance of high-rise buildings, with a basic database as the core, was designed in this study. Basic data of height, width, and structural type of a set of high-rise buildings was collected through a basic information system, and then stored in the seismic damage database system. The seismic hazard model analysis system, based on the basic information of the buildings stored in the database system, first analyzed the seismic hazard, then calculated the safe, protective distance by studying the height of the upper structure of the weak layer under three landing states. Experiments showed that, under the action of artificial seismic waves, a sketch map of safe, protective distances of high-rise buildings in the experimental area was effectively obtained through the prediction system. The safe distance of "flying stone," as well as the distribution and main influence ranges of seismic safe protective distances under three kinds of seismic waves were accurately analyzed. The predictive power of this method was good.

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张立维.地震状态下高层建筑物安全防护避让距离的估计研究[J].地震工程学报,2019,41(6):1637-1642. ZHANG Liwei. Estimation of Safety Protective Setback Distancesof High-rise Buildings under Earthquake[J]. China Earthquake Engineering Journal,2019,41(6):1637-1642.

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  • 收稿日期:2018-12-19
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  • 在线发布日期: 2019-12-10