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Thermal Conductivity of Sand-Silt Mixtures

Roshankhah, Shahrzad and Garcia, Adrian V. and Carlos Santamarina, J. (2021) Thermal Conductivity of Sand-Silt Mixtures. Journal of Geotechnical and Geoenvironmental Engineering, 147 (2). Art. No. 06020031. ISSN 1090-0241. https://resolver.caltech.edu/CaltechAUTHORS:20210115-132721674

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Abstract

Heat flow controls the design and operation of a wide range of engineered geosystems. This study uses transient thermal probe measurements to determine the evolution of the thermal conductivity of air-dry and water-saturated sand–silt mixtures as a function of effective stress. Results confirm that the thermal conductivity of soils varies with state of stress, dry mass density, mineralogy, and pore fluid properties and highlight the effect of thermal contact resistance on the thermal conductivity of granular materials. Thermal conductivity follows a linear relationship with the logarithm of effective stress as a consequence of fabric compaction, increased coordination number, contact deformation, and reduced thermal contact resistance. The bulk thermal conductivity of water-saturated soils is more than seven times that of air-dry soils for the same fines content (FC) and effective stress. Pore-filling fines contribute conduction paths and interparticle coordination; the peak in thermal conductivity takes place at FC ≈ 0.4; this mixture range corresponds to the transition from fines-controlled to coarse-controlled mechanical response (i.e., both fines and coarse grains are load bearing), in agreement with the revised soil classification system.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1061/(asce)gt.1943-5606.0002425DOIArticle
ORCID:
AuthorORCID
Roshankhah, Shahrzad0000-0002-1160-7882
Garcia, Adrian V.0000-0001-7203-6510
Additional Information:This work is made available under the terms of the Creative Commons Attribution 4.0 International license, https://creativecommons.org/licenses/by/4.0/. This manuscript was submitted on December 28, 2019; approved on August 12, 2020; published online on December 12, 2020. Discussion period open until May 12, 2021; separate discussions must be submitted for individual paper. Support for this research was provided by the Goizueta Foundation at the Georgia Institute of Technology and the KAUST endowment at King Abdullah University of Science and Technology. The authors’ gratitude extends to Gabrielle E. Abelskamp, who edited the manuscript. Data Availability Statement. Data generated during the study are available from the corresponding author upon request.
Funders:
Funding AgencyGrant Number
Georgia Institute of TechnologyUNSPECIFIED
King Abdullah University of Science and Technology (KAUST)UNSPECIFIED
Issue or Number:2
Record Number:CaltechAUTHORS:20210115-132721674
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210115-132721674
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107517
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:15 Jan 2021 22:21
Last Modified:15 Jan 2021 22:21

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