期刊
COLD REGIONS SCIENCE AND TECHNOLOGY
卷 95, 期 -, 页码 11-18出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.coldregions.2013.08.001
关键词
Thermal conductivity; Soil-rock media; Regression model; Cold region
资金
- Knowledge Innovation Program of the Chinese Academy of Sciences [KZCX2-EW-QN301]
- CAS Action-Plan for West Development [KZCX2-XB3-19]
- National Key Basic Research Program of China (973 Program) [2012CB026102]
- National Natural Science Foundation of China [41230630, 41101068]
- Youth Innovation Promotion Association CAS
- Project for Incubation of Specialists in Glaciology and Geocryology of National Natural Science Foundation of China [J1210003/J0109]
- open fund of the Qinghai Research Institute of Transportation
Thermal conductivity of soil-rock media is an important index for analyzing the temperature field of cold region engineering. As a kind of mixed media, the thermal conductivity is determined by many factors, e.g. porosity, dry density, saturation degree, temperature, water content and so on. In this study, the thermal conductivity model of soil-rock media is established by multiple linear regression method based on the basic parameters of soil-rock samples. The significant testing (correlation coefficient R-2, F-test and probability-of-F-to-enter) shows that the regression effect is well. To validate the multiple linear regression model, a comparison of the calculated values from the model with the tested data not used in the construction of the model shows that this model can effectively calculate thermal conductivity of soil-rock media. Additionally, compared with the other three general models, i.e. BP neural model, physical model and CK model, the multiple linear regression model is more reasonable and effective. Finally, based on the apparent heat capacity theory, a general regression model for soil-rock media in cold regions is obtained. It is hoped that a parameter basis can be provided for the temperature field simulation of cold region engineering from the study. (C) 2013 Elsevier B.V. All rights reserved.
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