基于BP神经网络的锈蚀梁承载率研究

BP neural network model of inversing load-bearing rate of corrosion RC beams

基于神经网络方法建立了由裂缝特征表征锈蚀钢筋混凝土梁受弯承载率的BP神经网络模型，网络仿真结果与试验值吻合较好，为评定在役桥梁的安全性提供了一种新方法和新思路。

A BP neural network model was built to indicate the load-bearing rate of reinforced concrete beams by means of crack characteristics. Simulation results agree with test results well. It is showed that the artificial neural network approach is a new feasible method to evaluate the naturalism corrosion reinforced concrete beams.