以钢管砼为核心的高强砼柱的设计方法研究

【作者】 陈周熠；

【导师】 赵国藩；

【作者基本信息】 大连理工大学 ， 结构工程， 2002， 硕士

【摘要】 本文在以钢管混凝土为核心的高强混凝土柱(钢管高强混凝土核心柱)的抗震性能的试验基础上，分别基于钢筋混凝土构件的规范计算方法和叠加法两种思路讨论了核心柱的正截面强度计算，并用条带有限元方法模拟了核心柱的弯矩——轴力相关曲线，与试验结果符合较好。从确保满足抗震所需要的位移延性这一条件出发，提出了核心柱轴压比和轴压力限值系数的建议值。在论文的最后，探索应用人工神经网络对核心柱的力学性能进行评估的可能性，利用该柱抗震性能试验的结果，训练一个三层BP网络，进行了柱抗震延性的预报，预报值和试验值吻合良好。更多还原

【Abstract】 On the basis of earthquake-resistant behavior experiments of high strength concrete column reinforced with concrete filled steel tube, two methods for calculating flexural strength of the column, one is based upon the method in building code for calculating the flexural strength of reinforced concrete member while the other is based upon the method of superposition, are discussed, and the moment梐xial load relationship is also analyzed using finite element method. The results are in good agreement with the experimental ones. According to the test results, the limited values of axial compression ratio and limited values of axial force for high strength concrete column reinforced with concrete filled steel tube are proposed based on the condition of displacement ductility needed for earthquake-resistance. In the final part of the paper, the feasibility of applying neural networks to evaluate the performance of the columns is investigated. A three-layer back-propagation network is trained using the earthquake-resistant behavior experimental data of the columns to predict the ductility of the columns. The predicted results agree well with the test results.更多还原