通过试验资料分析 ,建立了基于神经网络方法的碳纤维布加固混凝土梁受弯承载力预测的BP算法结构模型 ,通过模型预测值与试验结果的比较 ,证明了该模型的有效性和精度可以用于预测碳纤维布加固混凝土梁的受弯承载力。最后 ,对其影响因素进行了初步分析 Based on the experimental data, the BP algorithm structure model based on BP neural network is established to predict the flexural capacity of CFRP-reinforced concrete beams. The comparison between the predicted values ​​and experimental results shows that the proposed model can be applied to Prediction of flexural capacity of CFRP-strengthened concrete beams. Finally, the influencing factors are analyzed preliminarily