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dc.contributor.authorChamindu Deepagoda, T. K. K.en
dc.contributor.authorSmits, K.en
dc.contributor.authorJayarathne, J. R. R. N.en
dc.contributor.authorWallen, B. M.en
dc.contributor.authorClough, Timothy J.en
dc.identifier.citationChamindu Deepagoda, T.K.K., Smits, K., Jayarathne, J.R.R.N., Wallen, B.M., & Clough. T.J. (2018). Characterization of grain-size distribution, thermal conductivity, and gas diffusivity in variably saturated binary sand mixtures. Vadose Zone Journal, 17(1), 180026. doi:10.2136/vzj2018.01.0026en
dc.description.abstractCharacterization of differently textured porous materials, as well as different volumetric porous media mixtures, in relation to mass and heat transport is vital for many engineering and research applications. Functional relations describing physical (e.g., grain-size distribution, total porosity), thermal, and gas diffusion properties of porous media and mixtures are necessary to optimize the design of porous systems that involve heat and gas transport processes. However, only a limited number of studies provide characterization of soil physical, thermal, and gas diffusion properties and the functional relationships of these properties under varying soil water contents, especially for soil mixtures, complicating optimization efforts. To better understand how mixing controls the physical, thermal, and gas diffusion properties of porous media, a set of laboratory experiments was performed using five volumetric mixtures of coarse-and fine-grained sand particles. For each mixture, the grain-size distribution (GSD), thermal conductivity, and gas diffusivity were obtained and parameterized using existing and suggested parametric models. Results show that the extended, two-region Rosin–Rammler particle-size distribution model proposed in this study could successfully describe the bimodal behavior of the GSD of binary mixtures. Further, the modified Côté and Konrad thermal conductivity model adequately described the thermal conductivity–water saturation relations observed in different mixtures. The proposed simple soil-gas diffusivity descriptive model parameterized the upper limit, average, and lower limit behavior in gas diffusivity–air content relations in apparently texture-invariant gas diffusivity data. Results further show a close analogy between gas diffusivity and thermal conductivity and their variation with saturation across different binary mixtures. Overall, the results of the study provide useful numerical insight into the physical, thermal, and gas transport characteristics of binary mixtures, with wide implications for future engineering and research applications that involve multicomponent porous systems.en
dc.publisherSoil Science Society of America on behalf of Geological Society of Americaen
dc.relationThe original publication is available from - Soil Science Society of America on behalf of Geological Society of America -
dc.rights© Soil Science Society of America.en
dc.subjectgas diffusivityen
dc.subjectgrain-size distributionen
dc.subjectthermal conductivityen
dc.subjectbinary sand mixturesen
dc.subjectEnvironmental Engineeringen
dc.titleCharacterization of grain-size distribution, thermal conductivity, and gas diffusivity in variably saturated binary sand mixturesen
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitFaculty of Agriculture and Life Sciencesen
lu.contributor.unitDepartment of Soil and Physical Sciencesen
dc.subject.anzsrc090501 Civil Geotechnical Engineeringen
dc.subject.anzsrc050304 Soil Chemistry (excl. Carbon Sequestration Science)en
dc.subject.anzsrc050305 Soil Physicsen
dc.subject.anzsrc0406 Physical Geography and Environmental Geoscienceen
dc.subject.anzsrc0503 Soil Sciencesen
dc.subject.anzsrc0703 Crop and Pasture Productionen
dc.relation.isPartOfVadose Zone Journalen
pubs.notesArticle number 180026 Accepted 23 May 2018en
pubs.organisational-group/LU/Agriculture and Life Sciences
pubs.organisational-group/LU/Agriculture and Life Sciences/SOILS
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18

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