Effect And Prediction of Concrete Strength of Precast Pipe Sheets Under Different Maintenance Based on BP Neural Networks

In order to solve the problem of high water consumption and high cost caused by the late immersion curing of precast concrete pipe sheets, a new curing method of spraying instead of immersion is proposed. The relationship between the strength of the concrete under two types of curing was analysed. The relationship between the strength of the concrete under the two types of curing was analysed and the strength development was predicted using BP neural network based on MATLAB software. The results show that the growth rate of compressive strength of concrete at short ages of 3–14 d is higher in water immersion curing than in spray curing, and the difference in compressive strength between the two curing methods at 28 d is not significant. The flexural strength of the specimens under submerged condition is about 8% higher than that of the spray condition at 28d. The results of the BP neural network model for predicting the strength development of the concrete were in good agreement with the experimental results, which verified the validity of the BP neural network model analysis.