1篇
您的检索式：作者名="Hide Author"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | An ANN-Based Short-Term Temperature Forecast Model for Mass Concrete Cooling Control显示文摘Concrete temperature control during dam construction(e.g.,concrete placement and curing)is important for cracking prevention.In this study,a short-term temperature forecast model for mass concrete cooling control is developed using artificial neural networks(ANN).The development workflow for the forecast model consists of data integration,data preprocessing,model construction,and model application.More than 80000 monitoring samples are collected by the developed intelligent cooling control system in the Baihetan Arch Dam,which is the largest hydropower project in the world under construction.Machine learning algorithms,including ANN,support vector machines,long short-term memory networks,and decision tree structures,are compared in temperature prediction,and the ANN is determined to be the best for the forecast model.Furthermore,an ANN framework with two hidden layers is determined to forecast concrete temperature at intervals of one day.The root mean square error of the forecast precision is 0.15∘C on average.The application on concrete blocks verifies that the developed ANN-based forecast model can be used for intelligent cooling control during mass concrete construction. | Hide Author's Information Ming Li Peng Lin Daoxiang Chen Zichang Li Ke Liu Yaosheng Tan | 2023 | Tsinghua Science and Technology2023，28，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员