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An ANN-Based Short-Term Temperature Forecast Model for Mass Concrete cooling control

Tsinghua Science and Technology 2023年第3期28卷 511-524页

作者： Hide Author's Information Ming Li Peng Lin Daoxiang Chen Zichang Li Ke Liu Yaosheng Tan Department of Hydraulic Engineering Tsinghua UniversityBeijing 100084China Sichuan Energy Internet Research Institute Tsinghua UniversityChengdu 610213China China Three Gorges Construction Engineering Corporation Chengdu 610000China

Concrete temperature control during dam construction(e.g.,concrete placement and curing)is important for cracking *** 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 *** 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 *** 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 ***,an ANN framework with two hidden layers is determined to forecast concrete temperature at intervals of one *** root mean square error of the forecast precision is 0.15∘C on *** application on concrete blocks verifies that the developed ANN-based forecast model can be used for intelligent cooling control during mass concrete construction.

关键词： artificial neural networks(ANN) predictive modeling temperature forecast mass concrete cooling control

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Homogenous strength-toughness match for 20Mn2SiCrMoV bainitic large-size parts via processing of VC particles and quenching control

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Rare Metals 2023年第10期42卷 3485-3496页

作者： Yu Tian Zhun-Li Tan Jin-Zhou Zhang Zheng-Yuan Yuan Min Zhang Bing-Zhe Bai Material Science&Engineering Research Center School of MechanicalElectronic and Control EngineeringBeijing Jiaotong UniversityBeijing100044China Key Laboratory of Advanced Materials of Ministry of Education School of Materials Science and EngineeringTsinghua UniversityBeijing100084China

The problem of insufficient hardenability in general large-size parts always occurs in product manufacturing because of their large size,*** is restricted mainly by its own alloy composition with micro-alloy and key quenching and partitioning(Q&P) *** relationship between the cooling rate and properties of small samples was analyzed as the basis of the initial cooling rate at different positions corresponding to large-size parts combined with controlled austenization temperature in this *** as-treated micro structure after a fast cooling rate is mainly composed of lath bainite,martensite,and retained austenite(RA),while bainite and RA after a slow cooling *** showed that cooling control via decreasing spray intensity,meeting higher strength at the surface,and good strength and toughness match can be obtained both at the surface and in the ***-treated large ring part has~1330 MPa tensile strength and~95 J impact energy at the surface,and meantime,~1191 MPa tensile strength and~70 J impact energy in the center,which narrows the property difference.

关键词： Large-size parts Property homogeneity cooling control Bainite VC

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