BP neural networks;  carbon fiber cloth;  reinforced steel fiber concrete beams;  bending bearing capacity;  Forecast

In the reinforced steel fiber concrete beam reinforced by carbon fiber cloth, the reinforcement effect is affected by the performance of the reinforced structure itself, the performance of the reinforcement material and the load situation, so the reinforcement effect has a very high nonlinearity. In order to solve this problem, on the basis of experimental research, a BP neural network model for predicting the bending bearing capacity of reinforced beams is established by using the neural network method, taking 10 variables such as steel fiber concrete strength, section size, longitudinal reinforcement ratio as input units, and the bending bearing capacity of reinforced beams as output units. Through the comparative analysis of the predicted value and the experimental value, the scientificity and rationality of the model are verified.