马海滨, 卓卫东, 林杰, 邢文杰, 谷音, 孙颖. 基于云图法的规则桥梁概率地震需求模型[J]. 工程力学, 2016, 33(增刊): 119-124. DOI: 10.6052/j.issn.1000-4750.2015.05.S053
引用本文: 马海滨, 卓卫东, 林杰, 邢文杰, 谷音, 孙颖. 基于云图法的规则桥梁概率地震需求模型[J]. 工程力学, 2016, 33(增刊): 119-124. DOI: 10.6052/j.issn.1000-4750.2015.05.S053
MA Hai-bing, ZHUO Wei-dong, LIN Jie, XING Wen-jie, GU Yin, SUN Ying. A PROBALILISTIC SEISMIC DEMAND MODEL FOR REGULAR HIGHWAY BRIDGES BY CLOUD APPROACH[J]. Engineering Mechanics, 2016, 33(增刊): 119-124. DOI: 10.6052/j.issn.1000-4750.2015.05.S053
Citation: MA Hai-bing, ZHUO Wei-dong, LIN Jie, XING Wen-jie, GU Yin, SUN Ying. A PROBALILISTIC SEISMIC DEMAND MODEL FOR REGULAR HIGHWAY BRIDGES BY CLOUD APPROACH[J]. Engineering Mechanics, 2016, 33(增刊): 119-124. DOI: 10.6052/j.issn.1000-4750.2015.05.S053

基于云图法的规则桥梁概率地震需求模型

A PROBALILISTIC SEISMIC DEMAND MODEL FOR REGULAR HIGHWAY BRIDGES BY CLOUD APPROACH

  • 摘要: 基于性能的结构抗震设计需要建立在概率理论的基础之上,结构概率地震需求模型是其中的一个关键环节。针对公路梁式桥中的规则桥梁,利用OpenSees软件,建立了8座具有一定代表性的规则桥梁样本;选取三类不同场地条件下2390条国内外地震动记录,基于云图法对8座桥梁样本逐一进行了时程分析;以阻尼比为5%、与结构基本周期相对应的谱加速度Sa作为地震动强度指标,以墩顶位移漂移率D作为工程需求参数,分析了三类不同场地条件下、不同桥梁样本的地震动强度指标与工程需求参数之间的概率分布特征。结果表明:三类不同场地条件下,规则桥梁与结构基本周期对应的弹性谱加速度Sa与墩顶漂移率D之间近似服从指数函数分布。利用分析结果,建立了三类不同场地条件下规则桥梁地震动强度参数与地震需求参数之间统一的简化计算公式;算例验证表明,所建立的简化概率地震需求模型具有良好的计算精度,可大大简化规则桥梁概率地震需求的计算。

     

    Abstract: The performance based design for structures should be based on the theory of probability; thus establishing a reasonable probabilistic seismic demand model of structures is very important. This paper aims at the regular girder bridges of highway. 8 representative samples are built by OpenSees software and the time history analyses are carried out with the selected 2390 earthquake records at three different site conditions by cloud approach. The spectral acceleration at the fundamental period with 5% damping (Sa) is selected as the ground motion intensity measure and the displacement drift ratio at the top of pier (D) is selected as the engineering demand parameter. The probability distribution between Sa and D for different bridge samples is obtained at three different site conditions. The result shows that the EDP follows an approximate lognormal distribution with different level of IM at three different site conditions; the relevant simplified probabilistic seismic demand model is built by the analysis results. Example of verification shows that the simplified probabilistic seismic demand model has a high calculation accuracy to simplify the calculation of probabilistic seismic demand for regular bridges.

     

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