Modelling approaches to predicting thermal conductivity of soils at high temperatures

被引:8
|
作者
Tarnawski, VR [1 ]
Gori, F [1 ]
Wagner, B [1 ]
Buchan, GD [1 ]
机构
[1] St Marys Univ, Div Engn, Halifax, NS B3H 3C3, Canada
关键词
soil; thermal conductivity; predictive models; modelling;
D O I
10.1002/(SICI)1099-114X(200004)24:5<403::AID-ER588>3.3.CO;2-R
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Three predictive models are tested against soil thermal conductivity data at high temperatures: two (deV-1 and deV-2) are modifications of the original de Vries model, and the third is the Gori model. Model deV-1 results correlated very closely for 30, 50 and 70 degrees C, and moderately close for 90 degrees C. Generally, this model does not require the use of a mass transfer enhancement factor. The Gori model results correlated well at 30 and 50 degrees C. Model deV-2 results correlate well above field capacity, and provide the best predictions at full dryness. Model deV-1 is recommended for computer modelling of heat and moisture movement in soils at high temperatures. Copyright (C) 2000 John Wiley & Sons, Ltd.
引用
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页码:403 / 423
页数:21
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