A New Structural Model for Predicting Effective Thermal Conductivity of Variably Saturated Porous Materials

被引:0
作者
Cha, Jang-Hwan [1 ,2 ]
Koo, Min-Ho [1 ]
Keehm, Young-Seuk [1 ]
机构
[1] Kongju Natl Univ, Dept Geoenvironm Sci, Chungnam 314701, South Korea
[2] GeoGreen21 Co Ltd, Seoul 152719, South Korea
来源
JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY | 2011年 / 32卷 / 06期
关键词
effective thermal conductivity; structural models; prediction model; heat transfer simulation; continuity coefficient;
D O I
10.5467/JKESS.2011.32.6.629
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Based on Maxwell-Eucken(ME) model, which is one of structural models, a new model for predicting the effective thermal conductivity of variably saturated porous materials is proposed. The new model is a linear combination of three ME models having matrix, water, and air as a continuous phase. The coefficient of the corresponding linear equation is defined by a parameter referred to as 'the continuity coefficient', which provides a relative degree of continuity of each phase. The continuity coefficient of matrix is assumed to be linearly proportional to porosity. The model can be linear or nonlinear depending on how the continuity coefficients of water and air vary with water saturation. The feasibility of the proposed model was examined by both numerical and experimental results. Both linear and nonlinear models showed a high accuracy of prediction with R-2 values of 0.86-0.98 and 0.88-0.99, respectively. The numerical and experimental results also showed that the continuity coefficient of matrix was linearly proportional to porosity. Therefore, the proposed prediction model can be effectively used to estimate effective thermal conductivity of unsaturated porous materials by measuring porosity, water content and mineralogical compositions of matrix.
引用
收藏
页码:629 / 639
页数:11
相关论文
共 21 条
[1]   Review of effective thermal conductivity models for foods [J].
Carson, James K. .
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2006, 29 (06) :958-967
[2]   An analysis of the influence of material structure on the effective thermal conductivity of theoretical porous materials using finite element simulations [J].
Carson, JK ;
Lovatt, SJ ;
Tanner, DJ ;
Cleland, AC .
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2003, 26 (08) :873-880
[3]   Thermal conductivity bounds for isotropic, porous materials [J].
Carson, JK ;
Lovatt, SJ ;
Tanner, DJ ;
Cleland, AC .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2005, 48 (11) :2150-2158
[4]   Predicting the effective thermal conductivity of unfrozen, porous foods [J].
Carson, JK ;
Lovatt, SJ ;
Tanner, DJ ;
Cleland, AC .
JOURNAL OF FOOD ENGINEERING, 2006, 75 (03) :297-307
[5]  
Clauser C., 1995, ROCK PHYS PHASE RELA, V3, P105, DOI DOI 10.1029/RF003P0105
[6]   Experimental measurements and theoretical prediction of the thermal conductivity of two- and three-phase water/olivine systems [J].
Gori, F ;
Corasaniti, S .
INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2003, 24 (05) :1339-1353
[7]  
Hill MC, 1990, 904048 US GEOL SURV
[8]  
Hinkel K. M., 1990, Permafrost and Periglacial Processes, V1, P265, DOI 10.1002/ppp.3430010306
[9]   Estimating seasonal values of thermal diffusivity in thawed and frozen soils using temperature time series [J].
Hinkel, KM .
COLD REGIONS SCIENCE AND TECHNOLOGY, 1997, 26 (01) :1-15
[10]   Permeability prediction from thin sections: 3D reconstruction and Lattice-Boltzmann flow simulation [J].
Keehm, Y ;
Mukerji, T ;
Nur, A .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (04) :L046061-4