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基于增量动力分析的建筑震害预测研究

Research on IDA-based Prior Seismic Performance Assessment of Buildings
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摘要 地震中建筑物的毁坏是致使人员伤亡的主要原因之一,建筑物的震害预测对于地震防御工作具有重要意义。以上海的场地情况为工程背景,建立一个RC框架结构,进行增量动力分析(IDA),绘制了IDA曲线,研究了输入地震波条数和计算结果稳定性的关系,对比了两种不同的地震动强度参数的选取对结果的影响。研究表明:选取10条地震波进行增量动力分析,可以得出比较稳定的计算结果,如果对结果要求比较精确,可以选取20条地震波进行计算;依照S_(a)调整过的PGA作为地震强度指标进行震害预测得到的结果偏安全。总体而言,基于增量动力分析的建筑震害预测结果可以满足震害预测的新需求。 The destruction of buildings in earthquake disasters is one of the main causes of casualties,and the prediction of seismic damage of buildings is of great significance for earthquake prevention.In this paper,an RC frame structure was established with the site situation in Shanghai as the engineering background.According to the incremental dynamic analysis results of the structure,the IDA curve is drawn.It studied the relationship between the seismic wave number and stability of calculation results,compared the influ-ence of two different seismic intensity measures.The results show that when 10 ground motions are selected for the analysis,relatively accurate results can be obtained.If more accurate results are required,20 ground motions can be selected for calculation.The results of seismic damage prediction according to the PGA adjusted by S_(a) as the seismic intensity index are more appropriate.In a word,the IDA-based prior seis-mic performance assessment is relatively efficient and accurate,so as to meet the new demand of earth-quake damage prediction.
作者 庞倩文 翟永梅 胡苇 PANG Qianwen;ZHAI Yongmei;HU Wei(College of Civil Engineering,Tongji University,Shanghai 200092,China;Shanghai Institute of Disaster Prevention and Relief,Tongji University,Shanghai 200092,China;College of Architecture and Urban Planning,Tongji University,Shanghai 200092,China)
出处 《防灾减灾学报》 2023年第4期77-82,共6页 Journal of Disaster Prevention And Reduction
基金 国家自然科学基金面上项目:基于高分辨率遥感影像的城市建筑物震害预测研究(51178351) “十三五”国家重点研发项目:滨海城市重大基础设施灾变机理、风险评估与监测预警原理与方法(2016YFC0800209)。
关键词 震害预测 增量动力分析(IDA) 震害矩阵 损伤指标(DM) 地震动强度指标(IM) prior seismic performance assessment Incremental Dynamic Analysis(IDA) seismic damage matrix Damage Measures(DM) Intensity Measures(IM).
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