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A predicting model for thermal conductivity of high permeability-high strength concrete materials

  • Tan, Yi-Zhong (Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection in Department of Civil Engineering, Logistical Engineering University) ;
  • Liu, Yuan-Xue (Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection in Department of Civil Engineering, Logistical Engineering University) ;
  • Wang, Pei-Yong (Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection in Department of Civil Engineering, Logistical Engineering University) ;
  • Zhang, Yu (Chongqing Key Laboratory of Geomechanics & Geoenvironmental Protection in Department of Civil Engineering, Logistical Engineering University)
  • Received : 2015.01.19
  • Accepted : 2015.11.06
  • Published : 2016.01.25

Abstract

The high permeability-high strength concrete belongs to the typical of porous materials. It is mainly used in underground engineering for cold area, it can act the role of heat preservation, also to be the bailing and buffer layer. In order to establish a suitable model to predict the thermal conductivity and directly applied for engineering, according to the structure characteristics, the thermal conductivity predicting model was built by resistance network model of parallel three-phase medium. For the selected geometric and physical cell model, the thermal conductivity forecast model can be set up with aggregate particle size and mixture ratio directly. Comparing with the experimental data and classic model, the prediction model could reflect the mixture ratio intuitively. When the experimental and calculating data are contrasted, the value of experiment is slightly higher than predicting, and the average relative error is about 6.6%. If the material can be used in underground engineering instead by the commonly insulation material, it can achieve the basic requirements to be the heat insulation material as well.

Keywords

Acknowledgement

Supported by : National Natural Foundation of China, National Natural Foundation of Chongqing China

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