【摘要】 提出双向压弯钢筋混凝土柱正截面极限承载力的预测模型.以影响钢筋混凝土柱正截面极限承载力的主要因素(如:截面尺寸、混凝土强度、加载角度及配筋率等)为参数,用数值模拟结果为训练样本,建立了柱正截面极限承载力的BP神经网络预测模型.经验证,该模型对双向压弯钢筋混凝土柱正截面极限承载力具有良好的预测效果.更多还原

【Abstract】 A model is presented to forecast the terminal bearing capacity in the sections of reinforced concrete (RC) columns under bi-axial bending and compression. By taking the main factors affecting the bearing capacity, such as the section dimension, the concrete strength, the loading angle and the reinforce ratio, as the model parameters, and by using the numerical simulation results as the training specimens, a forecasting model is established based on BP neural network. It is verified that the proposed model is of excellent forecasting ability for the terminal bearing capacity of RC columns under bi-axial bending and compression.更多还原