基于人工神经网络的压弯钢筋混凝土柱侧向承载力的预测

双向压弯钢筋混凝土柱侧向承载力的计算比较复杂,它受截面尺寸、轴压比、混凝土强度、加载角度、剪跨比及配筋等诸多因素影响。基于BP神经网络技术,提出双向压弯钢筋混凝土柱侧向承载力的预测模型。以影响柱侧向承载力的主要因素为参数,用数值模拟结果,建立模型,并验证BP神经网络模型对双向压弯钢筋混凝土柱侧向承载力预测的效果良好。

FORECASTING THE BEARING CAPACITY OF REINFORCED CONCERETE COLUMNS UNDER BIAXIAL BENDING AND COMPRESSION BASED ON ARTIFICIAL NEURAL NETWORK

It is complicated to calculate the lateral bearing capacity of reinforced concrete(RC) columns under biaxial bending and compression.The lateral bearing capacity is affected by many factors such as section dimension,axial compression ratio,concrete strength,loading angle,shearing span ratio and reinforcement ratio.Based on BP neural network,a model is presented to forecast the lateral bearing capacity of RC columns under biaxial bending and compression.The model on BP neural network is made by taking main factors affecting the lateral bearing capacity and using numerical computed data,and it is verified that BP neural network model has a good effect in the forecast of the lateral bearing capacity of RC columns under biaxial bending and compression.