A generalized thermal conductivity model of geomaterials based on micro-structures

被引:18
作者
Wang, Chong [1 ,2 ,3 ]
Lai, Yuanming [3 ,4 ]
Zhang, Mingyi [3 ,4 ]
Li, Shuangyang [3 ,4 ]
机构
[1] Lanzhou Univ, Key Lab Mech Disaster & Environm Western China, Minist Educ China, Lanzhou 730000, Gansu, Peoples R China
[2] Lanzhou Univ, Sch Civil Engn & Mech, Lanzhou 730000, Gansu, Peoples R China
[3] Chinese Acad Sci, Northwest Inst Eco Environm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Gansu, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Porous media; Shape factor; Thermal conductivity; Unfrozen water; POROUS-MEDIA; PERMAFROST; UNFROZEN; TEMPERATURE; REGIONS; SOILS;
D O I
10.1007/s11440-018-0728-4
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Knowledge of particle shape and configuration-dependent thermal conductivity is necessary to investigate heat or water transfer in geomaterials, especially under freezing states. Thermal conductivity of a porous medium is affected by its matrix components and particle shapes. However, the particle shapes in geomaterials are various, and the effect of the ice phase on the thermal conductivity may increase substantially as ice content increases from unfrozen to freezing. In this study, a generalized thermal conductivity model for geomaterials is proposed based on phase transition theory and geometry approximation with respect to unfrozen and freezing states. Volumetric contents of each component and shape factors are required to predict thermal conductivities by the model. In order to evaluate the model, test results from both ours and previous literatures are employed to evaluate the calculated ones, and they match very well. In addition, compared with the other two models, i.e., a physical model and an empirical model, the proposed model is more reasonable and effective.
引用
收藏
页码:1423 / 1436
页数:14
相关论文
共 50 条
  • [41] Thermal conductivity analysis model of porous media based on REV
    Wang Z.
    Feng Y.
    Yang W.
    Zhang C.
    Li D.
    Liu L.
    Huagong Xuebao/CIESC Journal, 2020, 71 : 118 - 126
  • [42] A new thermal conductivity model for sandy and peat soils
    Zhao, Ying
    Si, Bingcheng
    Zhang, Zhenhua
    Li, Min
    He, Hailong
    Hill, Robert Lee
    AGRICULTURAL AND FOREST METEOROLOGY, 2019, 274 : 95 - 105
  • [43] Model for predicting soil thermal conductivity at various temperatures
    Lu, Sen
    Ren, Tusheng
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 25 (07): : 13 - 18
  • [44] Thermal conductivity-controlled Zn-doped MgO/Mg(OH)2 micro-structures for high-efficiency thermo-dynamic heat energy storage
    Kim, Youngho
    Lee, Jaeyeong
    Kim, Noeul
    Yu, Hak Ki
    JOURNAL OF ASIAN CERAMIC SOCIETIES, 2020, 8 (01) : 50 - 56
  • [45] Simultaneous measurement of thermal conductivity and emissivity of micro/nanomaterials
    Chen, Jinyu
    Tang, Jie
    Liu, Jinhui
    EXPERIMENTAL THERMAL AND FLUID SCIENCE, 2024, 157
  • [46] A generalized thermal conductivity model for unsaturated porous media with fractal geometry
    Shen, Yuqing
    Xu, Peng
    Qiu, Shuxia
    Rao, Binqi
    Yu, Boming
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2020, 152
  • [47] A modified calculation model for the saturation-dependent thermal conductivity of fine-textured soils
    Bi, Jun
    Chen, Wenwu
    Zhang, Jingke
    Zhang, Yingmin
    Fan, Wenjun
    Jia, Bobo
    RESULTS IN PHYSICS, 2019, 15
  • [48] Development of a generalized thermal resistance model for the calculation of effective thermal conductivities in periodic open cellular structures (POCS)
    Dubil, Konrad
    Wolf, Hannah
    Wetzel, Thomas
    Dietrich, Benjamin
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2022, 183
  • [49] Investigation on bubble snap-off in 3-D pore-throat micro-structures
    Wu, Yining
    Fang, Sisi
    Dai, Caili
    Sun, Yongpeng
    Fang, Jichao
    Liu, Yifei
    He, Long
    JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2017, 54 : 69 - 74
  • [50] Impact of structural characteristics on thermal conductivity of foam structures revealed with machine learning
    Long, Chen
    Liu, Shu
    Sun, Rong
    Lu, Jibao
    COMPUTATIONAL MATERIALS SCIENCE, 2024, 237