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基于Opensees纤维模型的钢筋混凝土柱数值分析与对比 被引量:1

NUMERICAL ANALYSIS AND COMPARISON OF REINFORCED CONCRETE COLUMN BASED ON FIBER MODEL IN OPENSEES
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摘要 为选取适当的纤维模型用于钢筋混凝土构件数值分析,文中探究Opensees中基于刚度法、柔度法和塑性铰三种纤维模型的特点和适用性。文中以2个钢筋混凝土柱试验为参照,采用三种纤维模型分别建立钢筋混凝土柱数值分析模型,最后通过不同纤维模型的数值分析结果与试验结果进行对比。结果表明三种纤维模型都能准确得到钢筋混凝土构件初始刚度;基于柔度法模型和基于塑性铰模型的力-位移曲线能反映钢筋混凝土构件实际承载力及其下降特征,而基于刚度法模型难以反映钢筋混凝土构件刚度降低,基于柔度法模型和基于塑性铰模型具有更高的准确性。研究结果可为选用合适的纤维模型提供借鉴。 For better numerical simulation of fibers within the reinforced concrete members, the characteristics and applicability of three fiber models based on stiffness method, flexibility method, and plastic hinge were studied by the Opensees software. Furthermore, based on two reinforced concrete column testing data, three kinds of fiber models were used to establish the numerical analysis models of reinforced concrete column respectively. Finally, the numerical analysis results of different fiber models were compared to the test results. The results showed that the initial stiffness of reinforced concrete components was estimated by the three fiber models accurately. In addition, the force-displacement curve obtained by the flexibility method and the plastic hinge model could reflect the actual bearing capacity and its decline characteristic of reinforced concrete component. However, the stiffness method model was difficult to reflect the stiffness reduction of reinforced concrete component, so the accuracy of the flexibility method model and the plastic hinge model was higher. The results were helpful to choose suitable fiber models in the similar cases.
作者 倪章军 乔升访 NI Zhangjun;QIAO Shengfang(Guangzhou City Reconstruction Co.,Ltd.,Guangzhou 510030,China;Guangzhou Institute of Building Science Co.,Ltd.,Guangzhou 510440,China;College of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China)
出处 《低温建筑技术》 2020年第8期53-56,共4页 Low Temperature Architecture Technology
基金 中国博士后基金项目(2019M662917) 广州市建筑集团有限公司科技计划项目(2019-KJ023)。
关键词 OPENSEES 纤维模型 数值分析 opensees fiber model numerical analysis
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