2015
DOI: 10.1061/(asce)mt.1943-5533.0001332
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Thermal Conductivity of Quartz Sands by Thermo-Time Domain Reflectometry Probe and Model Prediction

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Cited by 84 publications
(36 citation statements)
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“…In Figure 10(a), it is found that the Zhang et al (2015) model showed a very good agreement with the experimental data, while other models exhibited an obvious bias of underestimating the thermal conductivity of mixtures. This is because the effect of high quartz content on soil thermal conductivity was taken into account only in the Zhang et al (2015) model. The difference between measured and predicted results from the Chen (2008) model at high moisture contents might be due to the underestimation of the thermal conductivity of solid.…”
Section: Cote and Konrad (2005) Modelmentioning
confidence: 74%
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“…In Figure 10(a), it is found that the Zhang et al (2015) model showed a very good agreement with the experimental data, while other models exhibited an obvious bias of underestimating the thermal conductivity of mixtures. This is because the effect of high quartz content on soil thermal conductivity was taken into account only in the Zhang et al (2015) model. The difference between measured and predicted results from the Chen (2008) model at high moisture contents might be due to the underestimation of the thermal conductivity of solid.…”
Section: Cote and Konrad (2005) Modelmentioning
confidence: 74%
“…It shows a relatively high prediction accuracy for sands or sandy soils (Zhang et al, 2015). Zhang et al (2015) model Zhang et al (2015) measured the thermal conductivities of three sands with an extremely high quartz content by a thermo-TDR probe and a modified Cote and Konrad (2005) model in order to account for the high quartz content effect on soil thermal conductivity. The formula remained the same, but the model parameters were modified as 8·12 W/(m K) for c, 3·18 W/(m K) for h and 6·0 for W/(m K) for quartz sands.…”
Section: Cote and Konrad (2005) Modelmentioning
confidence: 99%
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