4.6 Article

The Effective Thermal Conductivity of Unsaturated Porous Media Deduced by Pore-Scale SPH Simulation

期刊

FRONTIERS IN EARTH SCIENCE
卷 10, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2022.943853

关键词

effective thermal conductivity; porous media; granular soil; SPH method; pore scale

资金

  1. Beijing Natural Science Foundation [822023]
  2. National Natural Science Foundation of China [52079003]

向作者/读者索取更多资源

The smoothed particle hydrodynamics (SPH) method was used to simulate heat transfer in porous media at the pore scale, and the effective thermal conductivity of porous media was predicted through SPH simulation experiments. The accuracy of the SPH simulation experiments was verified by comparing the predicted values with reference values. Additionally, a concise method was proposed to generate unsaturated media based on the SPH framework.
The smoothed particle hydrodynamics (SPH) method was employed to simulate the heat transfer process in porous media at the pore scale. The effective thermal conductivity of a porous medium can be predicted through a simulation experiment of SPH. The accuracy of the SPH simulation experiment was verified by comparing the predicted values with reference values for ideal homogeneous media and multiphase layered media. 3D simulation experiments were implemented in granular media generated by the PFC method. Based on the SPH framework, a concise method was proposed to produce unsaturated media by simulating the wetting process in dry media. This approach approximates the formation of liquid bridges and water films on granules. Through simulation experiments, the empirical formula of the variation in thermal conductivity with the degree of saturation was tested. The results showed that the reciprocal of the normalized thermal conductivity and the reciprocal of the saturation are linearly related, which is in line with the empirical formula proposed by Cote and Konrad.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据