壤土
热导率
土壤质地
土壤水分
土壤科学
含水量
土壤热特性
空间变异性
纹理(宇宙学)
环境科学
材料科学
背景(考古学)
堆积密度
岩土工程
导水率
地质学
复合材料
数学
统计
计算机科学
人工智能
古生物学
图像(数学)
作者
Saeid Nikoosokhan,Hossein Nowamooz,Cyrille Chazallon
标识
DOI:10.1080/17486025.2015.1048313
摘要
Study of the heat transfer process in saturated and unsaturated soils requires, basically, a relationship between thermal conductivity and the characteristics of the soil, such as water content, dry density and texture of the soil. This study intends to produce a generic model that can predict soil thermal conductivity with the help of easily measurable parameters. The proposed model is first calibrated using measured thermal conductivities from literature data. In order to validate the proposed model the predicted thermal conductivity of this proposed model as well as existing ones are compared with the measured thermal conductivity in literature for different soils. Validation of the proposed model was also performed on our experimental results obtained for a compacted Misillac sand and in-situ clay loam soils. The results show an average of 15% improvement in prediction accuracy for the proposed model compared to the existing models, considering all soil textures. Moreover, we perform a model to estimate thermal conductivity over time throughout the profile of soil in the context of seasonal variation of temperature. The proposed model shows an important effect of heterogeneity on the thermal conductivity variations of a double layered soil.
科研通智能强力驱动
Strongly Powered by AbleSci AI