摘要
针对钢-混凝土组合结构框架进行分析,明确节点受力机理,并计算节点所在区域的有效尺寸。参考典型节点区剪力计算公式,分析梁截面高度等因素对力学性能的影响,推导具有明确物理意义的剪力计算公式,并结合BP神经网络进行迭代分析,生成合理的框架节点设计结果。应用分析结果表明:所提方法得出的节点设计方案与文献[4]、文献[5]方法相比,核心区抗剪强度分别提升了26.19%、13.15%。
Based on the analysis of steel-concrete composite structure frame, the stress mechanism of joints is clarified, and the effective size of the area where the joints are located is calculated. According to the shear calculation formula of typical joints, the influence of beam section height and other factors on mechanical properties is analyzed, and the shear calculation formula with clear physical significance is pushed down. Based on the iterative analysis of BP neural network, reasonable design results of frame nodes are generated. The results show that the shear strength of the core region is improved by 26.19% and 13.15%, respectively, compared with the method in literature [4] and literature [5].
作者
梁峰
LIANG Feng(CCCC No.2 Navigation Engineering Survey and Design Institute Co.Ltd.,Wuhan 430060,China)
出处
《工程建设与设计》
2022年第12期95-97,共3页
Construction & Design for Engineering
关键词
组合结构
钢梁
节点设计
市政工程
BP神经网络
composite structure
steel beam
node design
municipal engineering
BP neural network