An expert system for estimating soil thermal and transport properties

1156 Views
994 Downloads
Export citation: ABNT
TARNAWSKI, Vlodek R.;WAGNER, Bernhard ;LEONG, Wey H.;GORI, Fabio .
An expert system for estimating soil thermal and transport properties. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 47, n.8, p. 390-395, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/>. Date accessed: 17 sep. 2021. 
doi:http://dx.doi.org/.
Tarnawski, V., Wagner, B., Leong, W., & Gori, F.
(2001).
An expert system for estimating soil thermal and transport properties.
Strojniški vestnik - Journal of Mechanical Engineering, 47(8), 390-395.
doi:http://dx.doi.org/
@article{.,
	author = {Vlodek R. Tarnawski and Bernhard  Wagner and Wey H. Leong and Fabio  Gori},
	title = {An expert system for estimating soil thermal and transport properties},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {47},
	number = {8},
	year = {2001},
	keywords = {expert systems; estimating soil; transport properties; },
	abstract = {Prediction of soil thermal conductivity k is particularly difficult at high temperatures T (50-90°C) and very low moisture content theta; the k value may increase with temperature by a factor of 3-5. This phenomenon is due to water vapor migration resulting in latent heat transfer, which is strongly dependent on soil water characteristics (SWC). In the past, the SWC influence on k prediction was never studied in great detail - mainly due to a lack of reliable SWC experimental data at low theta. Currently, hydraulic properties of soils can be evaluated from numerous predictive models correlated with experimental data. The paper objectives focus on: effects of SWC on k prediction; explanation of nonlinear variation of k at high T with theta ranging over the full degree of saturation; large k over-predictions at low theta and high T. Results obtained show very strong k dependence on the SWC function; therefore, accuracy of SWC estimates cannot be disregarded. The paper explains a nonlinear k behavior at high T as a combined effect of water vapor migration, SWC, and soil air relative humidity. To this end the paper provides also information about Soil Thermal and Transport Properties - Expert System (STTP-ES), collection of the notable predictive models for these properties, for both moist and frozen soils, which have been gleaned from the literature and integrated into one software package. The appendix provides a brief description and recent modifications made to the STTP-ES. Closing discussion concentrates on STTP-ES shortcomings, development of the Windows driven package. Expert System extension to other porous media and the database development.},
	issn = {0039-2480},	pages = {390-395},	doi = {},
	url = {https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/}
}
Tarnawski, V.,Wagner, B.,Leong, W.,Gori, F.
2001 July 47. An expert system for estimating soil thermal and transport properties. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 47:8
%A Tarnawski, Vlodek R.
%A Wagner, Bernhard 
%A Leong, Wey H.
%A Gori, Fabio 
%D 2001
%T An expert system for estimating soil thermal and transport properties
%B 2001
%9 expert systems; estimating soil; transport properties; 
%! An expert system for estimating soil thermal and transport properties
%K expert systems; estimating soil; transport properties; 
%X Prediction of soil thermal conductivity k is particularly difficult at high temperatures T (50-90°C) and very low moisture content theta; the k value may increase with temperature by a factor of 3-5. This phenomenon is due to water vapor migration resulting in latent heat transfer, which is strongly dependent on soil water characteristics (SWC). In the past, the SWC influence on k prediction was never studied in great detail - mainly due to a lack of reliable SWC experimental data at low theta. Currently, hydraulic properties of soils can be evaluated from numerous predictive models correlated with experimental data. The paper objectives focus on: effects of SWC on k prediction; explanation of nonlinear variation of k at high T with theta ranging over the full degree of saturation; large k over-predictions at low theta and high T. Results obtained show very strong k dependence on the SWC function; therefore, accuracy of SWC estimates cannot be disregarded. The paper explains a nonlinear k behavior at high T as a combined effect of water vapor migration, SWC, and soil air relative humidity. To this end the paper provides also information about Soil Thermal and Transport Properties - Expert System (STTP-ES), collection of the notable predictive models for these properties, for both moist and frozen soils, which have been gleaned from the literature and integrated into one software package. The appendix provides a brief description and recent modifications made to the STTP-ES. Closing discussion concentrates on STTP-ES shortcomings, development of the Windows driven package. Expert System extension to other porous media and the database development.
%U https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/
%0 Journal Article
%R 
%& 390
%P 6
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 47
%N 8
%@ 0039-2480
%8 2017-07-07
%7 2017-07-07
Tarnawski, Vlodek, Bernhard  Wagner, Wey H. Leong, & Fabio  Gori.
"An expert system for estimating soil thermal and transport properties." Strojniški vestnik - Journal of Mechanical Engineering [Online], 47.8 (2001): 390-395. Web.  17 Sep. 2021
TY  - JOUR
AU  - Tarnawski, Vlodek R.
AU  - Wagner, Bernhard 
AU  - Leong, Wey H.
AU  - Gori, Fabio 
PY  - 2001
TI  - An expert system for estimating soil thermal and transport properties
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - expert systems; estimating soil; transport properties; 
N2  - Prediction of soil thermal conductivity k is particularly difficult at high temperatures T (50-90°C) and very low moisture content theta; the k value may increase with temperature by a factor of 3-5. This phenomenon is due to water vapor migration resulting in latent heat transfer, which is strongly dependent on soil water characteristics (SWC). In the past, the SWC influence on k prediction was never studied in great detail - mainly due to a lack of reliable SWC experimental data at low theta. Currently, hydraulic properties of soils can be evaluated from numerous predictive models correlated with experimental data. The paper objectives focus on: effects of SWC on k prediction; explanation of nonlinear variation of k at high T with theta ranging over the full degree of saturation; large k over-predictions at low theta and high T. Results obtained show very strong k dependence on the SWC function; therefore, accuracy of SWC estimates cannot be disregarded. The paper explains a nonlinear k behavior at high T as a combined effect of water vapor migration, SWC, and soil air relative humidity. To this end the paper provides also information about Soil Thermal and Transport Properties - Expert System (STTP-ES), collection of the notable predictive models for these properties, for both moist and frozen soils, which have been gleaned from the literature and integrated into one software package. The appendix provides a brief description and recent modifications made to the STTP-ES. Closing discussion concentrates on STTP-ES shortcomings, development of the Windows driven package. Expert System extension to other porous media and the database development.
UR  - https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/
@article{{}{.},
	author = {Tarnawski, V., Wagner, B., Leong, W., Gori, F.},
	title = {An expert system for estimating soil thermal and transport properties},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {47},
	number = {8},
	year = {2001},
	doi = {},
	url = {https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/}
}
TY  - JOUR
AU  - Tarnawski, Vlodek R.
AU  - Wagner, Bernhard 
AU  - Leong, Wey H.
AU  - Gori, Fabio 
PY  - 2017/07/07
TI  - An expert system for estimating soil thermal and transport properties
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 47, No 8 (2001): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - expert systems, estimating soil, transport properties, 
N2  - Prediction of soil thermal conductivity k is particularly difficult at high temperatures T (50-90°C) and very low moisture content theta; the k value may increase with temperature by a factor of 3-5. This phenomenon is due to water vapor migration resulting in latent heat transfer, which is strongly dependent on soil water characteristics (SWC). In the past, the SWC influence on k prediction was never studied in great detail - mainly due to a lack of reliable SWC experimental data at low theta. Currently, hydraulic properties of soils can be evaluated from numerous predictive models correlated with experimental data. The paper objectives focus on: effects of SWC on k prediction; explanation of nonlinear variation of k at high T with theta ranging over the full degree of saturation; large k over-predictions at low theta and high T. Results obtained show very strong k dependence on the SWC function; therefore, accuracy of SWC estimates cannot be disregarded. The paper explains a nonlinear k behavior at high T as a combined effect of water vapor migration, SWC, and soil air relative humidity. To this end the paper provides also information about Soil Thermal and Transport Properties - Expert System (STTP-ES), collection of the notable predictive models for these properties, for both moist and frozen soils, which have been gleaned from the literature and integrated into one software package. The appendix provides a brief description and recent modifications made to the STTP-ES. Closing discussion concentrates on STTP-ES shortcomings, development of the Windows driven package. Expert System extension to other porous media and the database development.
UR  - https://www.sv-jme.eu/article/an-expert-system-for-estimating-soil-thermal-and-transport-properties/
Tarnawski, Vlodek, Wagner, Bernhard, Leong, Wey, AND Gori, Fabio.
"An expert system for estimating soil thermal and transport properties" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 47 Number 8 (07 July 2017)

Authors

Affiliations

  • Saint Marys's University, Division of Engineering, Halifax, Nova Scotia, Canada
  • Geological Survey of Bavaria, Federal Republic of Germany
  • Ryerson Polytechnic University, Department of Mechanical Engineering, Toronto, Ontario, Canada
  • University of Rome Tor Vergata, Department of Mechanical Engineering, Rome, Italy

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 47(2001)8, 390-395

Prediction of soil thermal conductivity k is particularly difficult at high temperatures T (50-90°C) and very low moisture content theta; the k value may increase with temperature by a factor of 3-5. This phenomenon is due to water vapor migration resulting in latent heat transfer, which is strongly dependent on soil water characteristics (SWC). In the past, the SWC influence on k prediction was never studied in great detail - mainly due to a lack of reliable SWC experimental data at low theta. Currently, hydraulic properties of soils can be evaluated from numerous predictive models correlated with experimental data. The paper objectives focus on: effects of SWC on k prediction; explanation of nonlinear variation of k at high T with theta ranging over the full degree of saturation; large k over-predictions at low theta and high T. Results obtained show very strong k dependence on the SWC function; therefore, accuracy of SWC estimates cannot be disregarded. The paper explains a nonlinear k behavior at high T as a combined effect of water vapor migration, SWC, and soil air relative humidity. To this end the paper provides also information about Soil Thermal and Transport Properties - Expert System (STTP-ES), collection of the notable predictive models for these properties, for both moist and frozen soils, which have been gleaned from the literature and integrated into one software package. The appendix provides a brief description and recent modifications made to the STTP-ES. Closing discussion concentrates on STTP-ES shortcomings, development of the Windows driven package. Expert System extension to other porous media and the database development.

expert systems; estimating soil; transport properties;