Thermal Properties Of Sediments From Middle Valley

Authors :: A. Hafaiedh
K. Hassine
Source :: Journal of Minerals and Materials Characterization and Engineering. :11-19
Publication Year :: 2005
Publisher :: Scientific Research Publishing, Inc., 2005.
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.

Subjects :: Materials science
Thermal conductivity
Thermal
Mineralogy
Geotechnical engineering
Grain density
Porosity
Bulk density
Water content

ISSN :: 23274085 and 23274077
Database :: OpenAIRE
Journal :: Journal of Minerals and Materials Characterization and Engineering
Accession number :: edsair.doi...........211f44588958a68f3ca0e69cc7b47c19
Full Text :: https://doi.org/10.4236/jmmce.2005.41002