A thermal conductivity model for insulation materials considering the effect of moisture in cold regions

被引:8
|
作者
Pei, Wansheng [1 ,2 ]
Ming, Feng [1 ,2 ]
Zhang, Mingyi [1 ,2 ]
Wan, Xusheng [3 ]
机构
[1] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Frozen Soil Engn, Lanzhou 730000, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 610500, Peoples R China
基金
中国国家自然科学基金;
关键词
Insulation material; Thermal conductivity; Tortuosity correction; Water absorption; POROSITY CORRECTION; HEAT-CONDUCTION; TORTUOSITY; 2-PHASE; TUNNEL; IMPACT; LAYER;
D O I
10.1016/j.coldregions.2022.103770
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Insulation is an important material for energy conservation and frost heave reduction in cold regions. The thermal conductivity of the insulation materials is usually considered as a constant. However, their thermal performance degenerates due to the absorption of water. To describe the variations of thermal conductivities with water content, a thermal conductivity model for three-phase insulation material was proposed by consid-ering the insulation material's porous and moisture absorption characteristics. A tortuosity correction was introduced to reflect the heat conduction path. Then, the measured results and the existed models were used to evaluate availability of the proposed model. Finally, the quantitative influence of the porosity, water content, and thermal conductivity of solid phase on the thermal conductivity of wet insulation materials was analyzed. The results show that there is close agreement between the predicted results of the new model and the measured ones, with the maximum relative error <15%. The model with tortuosity correction can effectively calculate the thermal conductivities of the insulation materials in a full range of porosity (from 0 to 1). The thermal con-ductivity decreases with the increase of porosity, but increases with the increase of water content. The solid phase's thermal conductivity has little influence on the thermal conductivity of the insulation materials. The study can provide an effective method to predict the thermal performance variation of the insulation material due to the effect of moisture content in cold regions.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] PREDICTION OF THE THERMAL-CONDUCTIVITY OF INSULATION MATERIALS
    DAWSON, DM
    BRIGGS, A
    JOURNAL OF MATERIALS SCIENCE, 1981, 16 (12) : 3346 - 3356
  • [22] Numerical simulation of the effect of moisture on the thermal conductivity of porous ceramic materials
    dos Santos, WN
    Cintra, JD
    JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 1999, 19 (16) : 2951 - 2955
  • [23] Development of the random simulation model for estimating the effective thermal conductivity of insulation materials
    Ji, Ru
    Zhang, Zuotai
    Liu, Lili
    Wang, Xidong
    BUILDING AND ENVIRONMENT, 2014, 80 : 221 - 227
  • [24] Overview of thermal conductivity models of anisotropic thermal insulation materials
    Skurikhin, A. V.
    Kostanovsky, A. V.
    INTERNATIONAL CONFERENCE PROBLEMS OF THERMAL PHYSICS AND POWER ENGINEERING (PTPPE-2017), 2017, 891
  • [25] A Fractal Model of Effective Thermal Conductivity of Porous Materials Considering Tortuosity
    Zhan, Chen
    Cui, Wenzhi
    Li, Longjian
    ENERGIES, 2023, 16 (01)
  • [26] Influence of Variable Moisture Conditions on the Value of the Thermal Conductivity of Selected Insulation Materials Used in Passive Buildings
    Szymczak-Graczyk, Anna
    Gajewska, Gabriela
    Laks, Ireneusz
    Kostrzewski, Wojciech
    ENERGIES, 2022, 15 (07)
  • [27] Thermal conductivity and moisture measurements on masonry materials
    Salmon, DR
    Williams, RG
    Tye, RP
    INSULATION MATERIALS: TESTING AND APPLICATIONS, 4TH VOLUME, 2002, 1426 : 58 - 75
  • [28] Analysis on the laying method and thermal insulation effect of tunnel insulation layer in high-altitude cold regions
    Zhang, Ming
    Wang, Tie
    Wang, Xiaochuan
    Wu, Wentao
    Guo, Jiaqi
    ELECTRONIC JOURNAL OF STRUCTURAL ENGINEERING, 2023, 23 (04): : 66 - 74
  • [29] Moisture absorption and desorption characteristics and prediction model analysis of building thermal insulation materials
    Liu, Kang
    Niu, Hongda
    Wang, Yingying
    APPLIED THERMAL ENGINEERING, 2024, 248
  • [30] MINIMUM THERMAL-CONDUCTIVITY OF TRANSPARENT INSULATION MATERIALS
    PFLUGER, A
    SOLAR ENERGY MATERIALS, 1987, 16 (1-3): : 255 - 265