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基于复杂网络的建筑物强震下抗毁性估计模型
引用本文:史华.基于复杂网络的建筑物强震下抗毁性估计模型[J].西北地震学报,2017,39(6):1024-1028.
作者姓名:史华
作者单位:商丘职业技术学院, 河南 商丘 476100
基金项目:中国职业技术教育学会2016—2017年度科研规划课题:引导地方普通本科高校向应用型转变的研究(201616Y03);国家档案局科技项目(2017-X-43)
摘    要:城市所处的地震危险性环境和城市建筑物的易损性是影响复杂网络建筑物强震环境下抗毁能力的关键因素。由于现阶段对建筑物抗震抗毁能力的评定仍存在一定困难,对建筑物震害程度测评只能通过强震之后建筑物受破坏的程度进行评估,且评估结果不够精准,因此提出基于复杂网络的建筑物抗震能力的评估方法。考虑到地震中的危险性因素,以地面峰值加速度为参数对强震环境下复杂网络建筑物抗毁性进行测评和分析,在此基础上提出对复杂网络下建筑物的防震抗毁能力进行评估的相对建筑物抗震性能指数,并结合建筑物抗震能力评估标准确定其抗震能力水平;再进行仿真实验加以测量,并结合震害经验,证实该方法的有效性。

关 键 词:复杂网络  建筑抗毁性  抗震能力
收稿时间:2017/6/20 0:00:00

Invulnerability Estimation Model of Buildings withComplex Networks under Strong Earthquakes
SHI Hua.Invulnerability Estimation Model of Buildings withComplex Networks under Strong Earthquakes[J].Northwestern Seismological Journal,2017,39(6):1024-1028.
Authors:SHI Hua
Institution:Shangqiu Polytechnic, Shangqiu 476100, Henan, China
Abstract:The seismic hazard environment and associated vulnerability of urban buildings are key factors affecting the seismic ability of buildings with complex networks under strong earthquakes. However, evaluating the seismic capacity of buildings is problematic because pre-assessment results are not adequately accurate, and it is only possible to determine the degree of damage using a damage assessment after the building has been destroyed by an earthquake. This study proposes a seismic capacity evaluation method for buildings with complex networks. In consideration of risk factors affecting buildings during earthquakes, peak ground acceleration is used as a parameter to evaluate and analyze the invulnerability of complex building networks under strong earthquakes. In addition, seismic ability indexes are proposed to evaluate the seismic performance of complex building networks. The seismic capacity level is then obtained using seismic capacity assessment criteria, and simulation experiments are conducted. The effectiveness of the proposed method is also confirmed using data of actual earthquake damage.
Keywords:complex network  invulnerability of buildings  seismic capacity
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