3D Mesoscopic Numerical Simulation on Thermal Conductivity of Early-age Concrete
ZHAO Weiping1,*, LIU Yingjian2, SHENG Zhaochuan1, CHENG Sai1, XU Yang3
1 School of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China 2 Tianjin Teda Construction Group Co., Ltd., Tianjin 300457, China 3 Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Abstract: In order to study the thermal conductivity of early-age concrete, 3D mesoscopic concrete models were established to simulate the thermal conductivity of concrete cylinder model at different ages. The concrete model included four kinds of rock aggregates such as limestone, siltstone, basalt and quartzite, and especially to the basalt concrete, the influences of three kinds of volume proportions and size gradations on the thermal conductivity of early-age were analyzed. The results show that the 3D mesoscopic concrete model is suitable for numerical simulation of thermal conductivity of early-age concrete, which can clearly describe the geometric shape and spatial distribution of aggregate model, show the internal temperature fields, isotherms and heat flow fields of early-age concrete, and accurately predict the thermal conductivity of concrete. The thermal conductivity of concrete decreases with the extension of curing age, and its reduction range becomes smaller and tends to be stable. The thermal conductivity of concrete is positively correlated with the thermal conductivity of rock. The greater the thermal conductivity of rock aggregate is, the greater the thermal conductivity of concrete is. The volume proportion of aggregate has a significant effect on the thermal conductivity of concrete. The smaller the volume proportion of aggregate, the smaller the thermal conductivity of concrete. The effect of aggregate particle size grade on the thermal conductivity of concrete is not significant. The values from finite element simulation have a high accuracy calculated with an error of less than 2.5% to the theoretical values from H-C model.
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2025, Vol. 39 
