Neural network simulation of new and old concrete bonding reinforcement splitting performance after fire

New and old concrete bonding;  artificial neural networks;  Splitting strength

The performance of concrete buildings suffering from fire after concrete repair and reinforcement is greatly complicated by many inquantitative factors. On the basis of the experiment, the artificial neural network is used to simulate and predict the splitting strength of the new and old concrete bonding surfaces, and the program calculation results are in good agreement with the test results, and then the bonding strength under different factors is predicted. The results show that the artificial neural network method is used to simulate and predict this topic accurately and effectively, and the influence of various factors on the bonding and splitting strength of new and old concrete is obtained, which is conducive to the supplement and analysis of the test results.