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.
关键词
混凝土浇筑仓/最高温度/随机森林/温度预测/温控防裂
Key words
concrete pouring block/the highest temperature/random forest/temperature prediction/temperature control and crack prevention
维普
万方数据