A generalized model for effective thermal conductivity of soils considering porosity and mineral composition

被引:0
作者
Kai-Qi Li
Dian-Qing Li
Dar-Hao Chen
Shi-Xiang Gu
Yong Liu
机构
[1] Wuhan University,State Key Laboratory of Water Resources and Hydropower Engineering Science, Institute of Engineering Risk and Disaster Prevention
[2] Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering of the Ministry of Education,undefined
[3] Wuhan University,undefined
[4] Texas A&M Transportation Institute,undefined
[5] Texas A&M University,undefined
[6] Yunnan Water Conservancy and Hydroelectric Survey Design and Research Institute,undefined
来源
Acta Geotechnica | 2021年 / 16卷
关键词
Mineral composition; Porous soil; Porosity; Prediction model; Thermal conductivity;
D O I
暂无
中图分类号
学科分类号
摘要
Soils have a variety of mineral compositions. Although a number of thermal conductivity models have been developed for soils, few quantitatively investigated the effect of mineral composition. In this study, the finite element method was employed to estimate the thermal conductivity of dry porous soils (kdry) considering the impact of mineral composition and porosity. A generalized model is proposed to predict kdry. The proposed model involves two steps. First, a modified form of Johansen’s model to evaluate the thermal conductivity of soil solid (ks) was established. The modified form considers a large number of soil samples where the soil composition varies and an empirical formula is obtained. Second, kdry is observed parabolically decreasing with porosity. Based on the relationship between kdry and porosity, a generalized model to predict the thermal conductivity of dry soil is proposed, and the empirical parameters for various types of soils are also determined for the sake of engineering applications. The performance of the proposed model is validated by comparing the predicted results with experimental data. A working illustration is exemplified for application of the generalized model.
引用
收藏
页码:3455 / 3466
页数:11
相关论文
共 119 条
[11]  
Cai SS(2004)Thermal properties of soils and surface covers Therm Anal Construct Monit Methods Frozen Ground 492 277-294
[12]  
Zhang BX(2017)A modified normalized model for predicting effective soil thermal conductivity Acta Geotech 12 1281-1300
[13]  
Cui TF(1971)Thermal conductivity of rock-forming minerals J Geophys Res 76 1278-1308
[14]  
Guo HJ(2007)Normalized thermal conductivity model for three Japanese soils Trans Jpn Soc Irrig Drain Rural Eng 251 529-533
[15]  
Huxford J(2019)Meso-mechanical investigations on the overall elastic properties of multi-phase construction materials using finite element method Construct Build Mater 228 116727-14
[16]  
Clarke BG(2020)Meso-scale investigations on the effective thermal conductivity of multi-phase materials using the finite element method Int J Heat Mass Transf 151 119383-928
[17]  
Agab A(2021)Coupled thermal-hydraulic modeling of artificial ground freezing with uncertainties in pipe inclination and thermal conductivity Acta Geotech 71 8-11
[18]  
Nicholson D(2007)An Improved Model for Predicting Soil Thermal Conductivity from Water Content at Room Temperature Soil Sci Soc Am J 52 919-422
[19]  
Côté J(2009)Soil thermal conductivity parameterization establishment and application in numerical model of central Tibetan plateau Chin J Geophys 5 61-3401
[20]  
Konrad JM(2020)Effectiveness of using rubber waste as aggregates for improving thermal performance of plaster-based composites Innov Infrastruct Solut 216 1-863