Effect of reduced air pressure on soil thermal conductivity over a wide range of water content and temperature

Momose, T.; Kasubuchi, Tatsuaki

doi:10.1046/j.1365-2389.2002.00474.x

Cited by 15 publications

(23 citation statements)

References 12 publications

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“…A review of published literature [1,2] reveals three standard soils that meet most requirements for reference granular materials, namely, Ottawa Sand 20/30 (C-190), Ottawa Sand graded (C-109), and Toyoura sand. The first two sands are well known in America, while Toyoura is the standard sand in Japan.…”

Section: Review Of Literaturementioning

confidence: 99%

“…Bligh and Smith [9] measured λ at n = 0.32 and T from 23 • C to 25 • C while Yun and Santamariana [14] measured λ at T = 20 • C and n = 0.34 to 0.412. The thermal conductivity λ of Toyoura sand was measured by Momose and Kasubuchi [2] at n = 0.4 and T from 10 • C to 75 • C. So, in general, there is a lack of a comprehensive λ database for Ottawa and Toyoura sands. The existing λ data by [7] show a tiny λ increase with T in spite of a strong decreasing trend of λ q .…”

Section: Review Of Literaturementioning

confidence: 99%

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Thermal Conductivity of Standard Sands. Part I. Dry-State Conditions

et al. 2009

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A comprehensive thermal conductivity (λ) database of three dry standard sands and Toyoura) was developed using a transient line heat source technique. The database contains λ data representing a variety of soil compactions and temperatures (T ) ranging from 25 • C to 70 • C. The tested standard sands, due to their repeatable physical characteristics, can be used as reference materials for validation of thermal probes applied to similar dry granular materials. The measured data show an increasing trend of thermal conductivity at dryness (λ dry ) against T in spite of declining quartz λ with T . The air content (porosity) controls the λ of dry sands by acting as a very effective thermal insulator around solid soil particles. As a result, a diminutive increase of λ dry with T is driven by increasing λ of air. The experimental λ data of dry sands were exceptionally well predicted by de Vries and Woodside-Messmer models, and also by a thermal conductance model, a product of λ of solids and the thermal conductance factor. 123 950 Int J Thermophys (2009) 30:949-968

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Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

Thermal Conductivity of Standard Sands. Part I. Dry-State Conditions

et al. 2009

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“…In the past, λ of these sands was frequently measured, using a guarded hot plate (GHP) [1,2,[4][5][6] and the line heat source techniques [2,3,7], at dryness and to a lesser extent at saturation. Comprehensive measurements were published by Kersten [1], Bligh and Smith [7], Momose and Kasubuchi [8], and Nikolaev et al [6]. For example, Nikolaev et al [6] carried out λ measurements of C-190 at a porosity (n) of 0.33 and at temperatures (T ) varying from 2 • C to 92 • C while Bligh and Smith [7] measured λ at n = 0.32 and T varying from 23 • C to 25 • C. The thermal conductivity of Toyoura sand was measured, in a full range of the degree of saturation (S r ), at n = 0.4 and T varying from 10 • C to 75 • C, by Momose and Kasubuchi [8].…”

Section: Introductionmentioning

confidence: 99%

“…Comprehensive measurements were published by Kersten [1], Bligh and Smith [7], Momose and Kasubuchi [8], and Nikolaev et al [6]. For example, Nikolaev et al [6] carried out λ measurements of C-190 at a porosity (n) of 0.33 and at temperatures (T ) varying from 2 • C to 92 • C while Bligh and Smith [7] measured λ at n = 0.32 and T varying from 23 • C to 25 • C. The thermal conductivity of Toyoura sand was measured, in a full range of the degree of saturation (S r ), at n = 0.4 and T varying from 10 • C to 75 • C, by Momose and Kasubuchi [8]. In general, λ sat of Ottawa sands ranges from (2.4 to 3.3) W · m −1 · K −1 [7] and depends on T and n or compaction (1 − n).…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity of Standard Sands II. Saturated Conditions

2011

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A non-stationary thermal probe technique was used to measure the thermal conductivity of three saturated standard sands (Ottawa sand C-109, Ottawa sand C-190, and Toyoura sand) in a range of soil porosities (n) from 0.32 to 0.42, and temperatures (T ) from 25 • C to 70 • C. The sand thermal conductivities at full saturation (λ sat ) increased with decreasing n (increasing compaction, 1 − n). In addition, a declining λ sat (T ) n=const trend was observed. The peak λ sat values and highest decreasing rate of λ sat with T were observed at the heaviest compaction and lowest tested T . This trend gradually diminished with increasing T and expanding volume of water (larger n) due to the markedly lower ability of water to conduct heat than quartz. A series-parallel model, containing three parallel paths of heat flow (through continuous solids, continuous fluid, and solids plus fluid in series), was successfully applied to predicted λ dry and λ sat data. The model by de Vries, with new fitted grain shape values, also closely followed measured λ sat data. The corresponding square root of the relative mean squared errors varied from 2.9 % to 3.4 % for C-109, from 1.9 % to 3.0 % for C-190, and from 2.3 % to 2.4 % for Toyoura sand. The use of a weighted geometric mean model also provided good λ sat estimates with errors ranging from 3.1 % to 3.5 % for C-109 and C-190 and 8.3 % for Toyoura sand. This paper also discusses a successful attempt to model λ sat as a product of thermal conductivity of the solid fraction (quartz plus other minerals) and a thermal conductance factor of water.

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“…Finally, increases in temperature result in an increase in bulk l, behavior which is more pronounced for the intermediate saturation range (Campbell et al, 1994). This increase is due to the increase in the transfer of latent heat with decreasing air pressure or increasing temperature (Momose and Kasubuchi, 2002;Sakaguchi et al, 2009;Smits et al, 2013).…”

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Thermal Conductivity of Binary Sand Mixtures Evaluated through Full Water Content Range

Wallen

Smits

Sakaki

et al. 2016

Soil Science Soc of Amer J

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A soil's grain-size distribution affects its physical and hydraulic properties; however, little is known about its effect on soil thermal properties. To better understand how grain-size distribution affects soil thermal properties, specifically the effective thermal conductivity, a set of laboratory experiments was performed using binary mixtures of two uniform sands tightly packed with seven different mixing fractions over the full range of saturation. For each binary mixture, the effective thermal conductivity, l, capillary pressure, h c , and volumetric water content, q, were measured. Results demonstrated that the l-q relationship exhibited distinct characteristics based on the percentage of fine-and coarse-grained sands. We further compared measured l-q properties with independent estimates from two semi-empirical models (Campbell Model and Lu and Dong Model) to evaluate the models' applicability in relation to physically based parameters associated with changes in soil mixing (e.g., porosity and grain size). Both models were able to fit experimental data but to varying degrees based on the number of physically based parameters used. In general, model improvements are needed to capture the l-q relationship solely on physically based parameters.Abbreviations: SWRC, soil water retention curve. U nderstanding soil thermal properties is important to properly determine the impact of heat transfer on the distribution, circulation, and evaporation of water in soil. Heat transfer within soil influences micrometeorological phenomena (Hanks et al., 1967), engineering efforts such as cooling electronic devices with heat pipes and insulating buildings (Bussing and Bart, 1997;Sakaguchi et al., 2009;Moradi et al., 2015), agricultural production (Al Nakshabandi and Kohnke, 1965;Usowicz et al., 1996;Lipiec et al., 2007), and landmine detection efforts that rely on thermal contrast (e.g., Garcia-Padron et al., 2002;Martínez et al., 2004). Previous studies provide insight into the effect of soil moisture, temperature, and soil physical characteristics on soil thermal properties, specifically the effective thermal conductivity, l (W m -1 K -1 ; e.g., De Vries, 1963;Johansen, 1975;Hopmans and Dane, 1986;Ochsner et al., 2001;Tarnawski and Gori, 2002). However, to our knowledge, none of the studies to date has investigated the effect of mixing differently sized particles on controlling the l behavior under varying soil water contents (q, cm 3 cm -3 ). Knowledge of the l-q relationship for differently sized soil fractions is particularly important in many engineering applications such as soil borehole thermal energy storage (SBTES), landfill covers, and engineered material stabilization.Previous research provides strong evidence that l is affected by a wide range of parameters including q (e.g., Philip and de Vries, 1957;De Vries, 1963;Yadav and Saxena, 1977; Core Ideas• Thermal conductivity and water content relationship based upon mixtures are distinct.• Systematic change in particle fine fraction directly affects thermal cond...

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Effect of reduced air pressure on soil thermal conductivity over a wide range of water content and temperature

Cited by 15 publications

References 12 publications

Thermal Conductivity of Standard Sands. Part I. Dry-State Conditions

Thermal Conductivity of Standard Sands. Part I. Dry-State Conditions

Thermal Conductivity of Standard Sands II. Saturated Conditions

Thermal Conductivity of Binary Sand Mixtures Evaluated through Full Water Content Range

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