Internal Maximum Temperature Prediction of Concrete Pouring Block Based on Random Forest Algorithm
In order to effectively predict the internal maximum temperature of concrete pouring block,random forest algorithm was used to establish the prediction model of concrete pouring block.Combined with a typical concrete dam project in the west region,the measured temperature of the pouring block in high and low temperature seasons was col-lected firstly.The water temperature at the inlet and outlet of the cooling water pipe,the water flow rate,the thickness of the pouring block and the ambient temperature were taken as the input,and the maximum temperature of the concrete pouring block was taken as the output.Then,the random forest model was used for training and optimization.Compari-son of the traditional BP neural network,the example analysis shows that the random forest prediction model has better effect on prediction of internal temperature of concrete.
concrete pouring blockthe highest temperaturerandom foresttemperature predictiontemperature control and crack prevention
万方数据
维普
