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Thermal Properties Of Sediments From Middle Valley
Department of Mechanical Engineering,Institute of High Technology, Nabeul, Tunisia.
Department of Computer Sciences,University of Sciences, Monastir, Tunisia.
- 1 Department of Mechanical Engineering,Institute of High Technology, Nabeul, Tunisia.
- 2 Department of Computer Sciences,University of Sciences, Monastir, Tunisia.
Journal of Minerals and Materials Characterization and Engineering·Volume 04 (2005)·Pages 11–19·Published 12 June 2005·DOI10.4236/jmmce.2005.41002
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Abstract
A neural network model was used to treat thermal conductivity data obtained from Middle Valley. This technique was able to separate the effects of different parameters such as porosity, grain density, bulk density and water content on the thermal conductivity. Predicted curves showed good agreement with the experimental results.
Keywordsneural networkthermal conductivityporositygrain densitybulk densitywater content.
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