Thermal Properties Of Sediments From Middle Valley

A. Hafaiedh, K. Hassine

Department of Computer Sciences,University of Sciences, Monastir, Tunisia..
Department of Mechanical Engineering,Institute of High Technology, Nabeul, Tunisia..

DOI: 10.4236/jmmce.2005.41002                

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.

Keywords

neural network, thermal conductivity, porosity, grain density, bulk density, water content.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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