Evaluation of calculation models for the thermal conductivity of soils. (May 2018)
- Record Type:
- Journal Article
- Title:
- Evaluation of calculation models for the thermal conductivity of soils. (May 2018)
- Main Title:
- Evaluation of calculation models for the thermal conductivity of soils
- Authors:
- Zhang, Mingyi
Bi, Jun
Chen, Wenwu
Zhang, Xiyin
Lu, Jianguo - Abstract:
- Abstract: In the study, a model matrix, based on the combinations of 1 thermal conductivity model for saturated soils ( λ sat ), 4 thermal conductivity models for dried soils ( λ dry ) and 4 Kersten number models for soils ( K e ), was proposed to calculate the thermal conductivity of soils. 16 calculation models were included in the matrix. The matrix could be used to investigate the effects of the λ dry models and K e models on the calculational results of the 16 calculation models for the thermal conductivity of soils. The matrix was evaluated by 40 Canadian soils, and it is found that the He et al. model for λ dry performs best among the 4 λ dry models, the Côté and Konrad model for K e performs best among the 4 K e models. It also shows that the results of the calculation models in the matrix are different significantly, but the JCM (combination of the geometric mean model for λ sat, the Johansen model for λ dry, and the Côté and Konrad model for K e ) performs best among the calculation models for the thermal conductivity of soils. The effects of the λ dry models and K e models on the calculational results of calculation models for the thermal conductivity were evaluated by the modified difference index (MDI), showing that the K e models have much larger effect on the calculational results than the λ dry models. Besides, the calculation models containing the Côté and Konrad model for K e were recommended to calculate the thermal conductivity of soils for its highAbstract: In the study, a model matrix, based on the combinations of 1 thermal conductivity model for saturated soils ( λ sat ), 4 thermal conductivity models for dried soils ( λ dry ) and 4 Kersten number models for soils ( K e ), was proposed to calculate the thermal conductivity of soils. 16 calculation models were included in the matrix. The matrix could be used to investigate the effects of the λ dry models and K e models on the calculational results of the 16 calculation models for the thermal conductivity of soils. The matrix was evaluated by 40 Canadian soils, and it is found that the He et al. model for λ dry performs best among the 4 λ dry models, the Côté and Konrad model for K e performs best among the 4 K e models. It also shows that the results of the calculation models in the matrix are different significantly, but the JCM (combination of the geometric mean model for λ sat, the Johansen model for λ dry, and the Côté and Konrad model for K e ) performs best among the calculation models for the thermal conductivity of soils. The effects of the λ dry models and K e models on the calculational results of calculation models for the thermal conductivity were evaluated by the modified difference index (MDI), showing that the K e models have much larger effect on the calculational results than the λ dry models. Besides, the calculation models containing the Côté and Konrad model for K e were recommended to calculate the thermal conductivity of soils for its high accuracy. … (more)
- Is Part Of:
- International communications in heat and mass transfer. Volume 94(2018:May)
- Journal:
- International communications in heat and mass transfer
- Issue:
- Volume 94(2018:May)
- Issue Display:
- Volume 94 (2018)
- Year:
- 2018
- Volume:
- 94
- Issue Sort Value:
- 2018-0094-0000-0000
- Page Start:
- 14
- Page End:
- 23
- Publication Date:
- 2018-05
- Subjects:
- Model matrix -- Thermal conductivity -- λdry models -- Ke models -- Calculation model
Heat -- Transmission -- Periodicals
Mass transfer -- Periodicals
Chaleur -- Transmission -- Périodiques
Transfert de masse -- Périodiques
Heat -- Transmission
Mass transfer
Periodicals
621.4022 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07351933 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.icheatmasstransfer.2018.02.005 ↗
- Languages:
- English
- ISSNs:
- 0735-1933
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4538.722800
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11472.xml