砂土导热特性及表观热导率预测关联式模型

褚召祥; 王义江; 赵光思; 董凯军; 孙钦; 王泽桂

doi:10.19912/j.0254-0096.tynxb.2020-0932

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (5) : 1-9. DOI: 10.19912/j.0254-0096.tynxb.2020-0932

砂土导热特性及表观热导率预测关联式模型

褚召祥, 王义江², 赵光思², 董凯军¹, 孙钦¹, 王泽桂²

作者信息 +

HEAT CONDUCTION CHARACTERISTICS OF SANDS AND APPARENT THERMAL CONDUCTIVITY PREDICTIVE CORRELATION MODEL

Chu Zhaoxiang, Wang Yijiang², Zhao Guangsi², Dong Kaijun¹, Sun Qin¹, Wang Zegui²

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文章历史 +

摘要

以细观尺度假设条件下砂土多孔/颗粒介质周期性单元结构为几何模型,采用COMSOL Multiphysics软件开展针对不同孔隙率和饱和度、不同边界条件下,固-液-气三相砂土稳态热传导过程有限元数值实验。研究结果表明,砂土热导率随孔隙率的增加而降低,随饱和度的增加而增加,变化速率均逐渐减小;相同孔隙率和饱和度工况下方形单元结构采用恒壁温+绝热+第3类边界条件的组合方式时,热导率反向计算结果最优;基于数值实验结果建立的砂土热导率与孔隙率、饱和度之间的指数、幂律函数关系式计算获得的热导率在低、高饱和度区与实验回归模型预测结果吻合度较高;与理论和试验研究相比,数值模拟/实验可以有效表征孔隙/颗粒尺度砂土导热特性,进而以土壤物理参数为基础建立具有较高精度的砂土表观热导率预测关联式模型。

Abstract

The steady state heat conduction processes of multi-phase （solid-liquid-gas） and porous/granular sandy soil were simulated via finite element method （COMSOL Multiphysics） in a periodic unit cell under ideal assumptions, based on which the heat conduction characteristics and change laws of its effective thermal conductivity （ETC） were obtained. The results indicate that the ETC of the unit cell decreases with the porosity while increases with the saturation, and the decrease and increase tendencies, however, slow down gradually, showing good agreements with existing theoretical and experimental studies. The adversely calculated ETC using the simulated results under the combination of boundary conditions of constant wall temperature + adiabatic boundary + the third Robin boundary condition has the best performance. Based on the numerical experiment results, the established exponent/power-law function between the ETC of sand and porosity, saturation provides higher coincidence degree with experimental regression model in low and high saturation region. Compared with theoretical and experimental research, the numerical simulation/experiment can effectively capture the microscopic heat conduction characteristics of sands and establish the ETC predictive correlation model using basic soil physical parameters with acceptable accuracy.

导出引用

褚召祥, 王义江, 赵光思, 董凯军, 孙钦, 王泽桂. 砂土导热特性及表观热导率预测关联式模型[J]. 太阳能学报. 2022, 43(5): 1-9 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0932

Chu Zhaoxiang, Wang Yijiang, Zhao Guangsi, Dong Kaijun, Sun Qin, Wang Zegui. HEAT CONDUCTION CHARACTERISTICS OF SANDS AND APPARENT THERMAL CONDUCTIVITY PREDICTIVE CORRELATION MODEL[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 1-9 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0932

中图分类号： TK513.5

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