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首先对已有钢结构梁柱节点半刚性连接弯矩-转角经典模型存在的不足进行了述评;然后采用非线性有限元方法对有无楼板刚度贡献的外伸端板半刚性连接节点进行了非线性仿真分析,把获得的这种节点半刚性连接弯矩-转角关系与常用梁柱节点半刚性连接弯矩-转角经典模型进行了对比分析;最后运用神经网络智能算法,首次提出了考虑楼板刚度影响的十参数梁柱节点外伸端板半刚性连接智能模型。研究结果表明:楼板的存在增大了梁柱节点刚度,减少了节点相对转动,使得实际工程中存在楼板刚度影响的半刚性连接弯矩-转角关系与现有半刚性连接弯矩-转角模型计算得到的弯矩-转角关系存在着较大误差;提出的十参数半刚性连接弯矩-转角神经网络模型能较好地模拟这种节点实际受力和变形情况;提出的智能模型具有较高精度和计算效率,同时也具有可靠性、有效性和实用性。研究结果可为考虑楼板刚度贡献的其他半刚性连接形式的弯矩-转角关系的进一步研究以及在实际工程中的应用提供参考。
Firstly, the shortcomings of the classical models of the moment-rotation angle of the semi-rigid connections of the beam-column joints of the existing steel structures are reviewed. Then, the semi-rigid joints of the extended end plates with or without stiffness of the slab are evaluated using the nonlinear finite element method Linear simulation analysis, the obtained semi-rigid connection moment-angle relationship with the common beam-column joint semi-rigid connection moment-corner classic model were compared; finally using the neural network intelligent algorithm, the first proposed to consider the stiffness of the floor Influence of Ten Parameters Beam - to - Column Joints Extensional End Plate Semi - Rigid Connection Intelligent Model. The results show that the presence of the slab increases the stiffness of the beam-column joint and reduces the relative rotation of the joints, which makes the semi-rigid connection moment-rotation angle relationship with the existing semi-rigid connection moment-rotation angle model The obtained bending moment-rotation relation has a big error. The proposed ten-parameter semi-rigid connection moment-rotation neural network model can well simulate the actual stress and deformation of this kind of joint. The proposed intelligent model has higher accuracy And computational efficiency, but also has the reliability, effectiveness and practicality. The research results can provide reference for the further study on the moment-rotation relationship of other semi-rigid connections considering the contribution of floor stiffness and their application in practical engineering.