摘要
在多组分随机混合模型的基础上,得到由组分物性和体积分数预测多相系多孔介质有效导热系数的方法。通过与实验数据的对比,验证本文提出的模型能较好地预测含湿土壤的导热系数。研究了影响湿土壤热物性的因素,结果表明土壤的热物性与土壤类型、孔隙率、水分饱和度和水的物态密切相关。比较分析了土壤在未冻结和冻结状态下的热物性差异及变化规律。
Based on a randomly mixed model of multi-component medium, the effective thermal conductivity of porous medium was obtained from the property and volume fraction of the components. Compared with the experimental data, the present model can give better predictions of the effective thermal conductivity of wet porous soils. Factors related to the thermal properties of the soil were investigated, and the results show that the effective thermal conductivity of the soil depends on the type of soil, the porosity, the degree of saturation and the state of the water. In addition, the difference between the frozen and unfrozen soils was analyzed, and related issues were also discussed.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2006年第10期1069-1072,共4页
Acta Energiae Solaris Sinica
关键词
随机混合模型
多孔介质
土壤
有效导热系数
孔隙率
饱和度
randomly mixed model
porous media
soil
effective thermal conductivity
porosity
degree of saturation
