文章摘要
张建云,王亮.钢筋混凝土框架结构震后可存活概率预测方法研究[J].地震工程学报,2019,41(5):1155-1160. ZHANG Jianyun,WANG Liang.A Prediction Method for the Survival Probability of Reinforced Concrete Frame Structures after an Earthquake[J].China Earthquake Engineering Journal,2019,41(5):1155-1160.
钢筋混凝土框架结构震后可存活概率预测方法研究
A Prediction Method for the Survival Probability of Reinforced Concrete Frame Structures after an Earthquake
投稿时间:2019-01-26  
DOI:10.3969/j.issn.1000-0844.2019.05.1155
中文关键词: 钢筋混凝土;可存活概率;预测
英文关键词: reinforced concrete;survival probability;prediction
基金项目:国家自然科学基金项目(51175084)
作者单位
张建云 宁夏建设职业技术学院, 宁夏 银川 750021 
王亮 中国矿业大学银川学院, 宁夏 银川 750021 
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中文摘要:
      针对当前钢筋混凝土震后存活预测相关方法存在预测值与实际值拟合度低的问题,提出基于有限元的钢筋混凝土框架结构震后可存活概率预测方法。利用混凝土本构模型关联数值和钢筋本构模型数值计算,实现钢筋混凝土框架材料本构模型关联数值分析。结合建筑和结构施工图实现钢筋混凝土有限元模拟,将钢筋混凝土框架有限元模型的最大竖向荷载作为结构整体构造竖向极限承载力,并引入随机Pushdown方法及随机竖向IDA法得到钢筋混凝土框架震后可存活概率。经实验证明,将有限元应用至钢筋混凝土框架结构震后可存活概率预测中切实可行;预测值与实际值拟合度高于目前常用方法。所提方法的性能完善,可为该领域发展提供可借鉴的信息。
英文摘要:
      In view of the low fitting degree between actual and predicted values in the current methods of predicting the post-earthquake survival probability of reinforced concrete frame structures, a prediction method based on the finite element is proposed. Numerical analysis of the constitutive model of reinforced concrete frame materials was carried out using the correlation value of the concrete constitutive model and numerical calculation of the reinforcement constitutive model. The finite element simulation of reinforced concrete was realized by combining building and construction drawings. Maximum vertical load of the finite element model of the reinforced concrete frame was taken as the vertical ultimate bearing capacity of the whole structure. The random Pushdown method and the random vertical IDA methods were then introduced to obtain the survival probability of a reinforced concrete frame after an earthquake. Experiments showed that it is feasible to apply the finite element to prediction of the survival probability of reinforced concrete frame structures after an earthquake. The fitting degree between the predicted value and the actual value is higher than in the current method. Performance of the proposed method was perfect, providing a basis for further development of this field.
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