Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116446
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorWang, Y-
dc.creatorWu, Y-
dc.creatorHu, L-
dc.creatorHicher, PY-
dc.creatorYin, ZY-
dc.date.accessioned2025-12-30T03:04:35Z-
dc.date.available2025-12-30T03:04:35Z-
dc.identifier.issn0013-7952-
dc.identifier.urihttp://hdl.handle.net/10397/116446-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCapillary flowen_US
dc.subjectFilm flowen_US
dc.subjectFrozen soilen_US
dc.subjectHydraulic conductivityen_US
dc.subjectSoil water retentionen_US
dc.subjectUnsaturated soilen_US
dc.titleA hydraulic conductivity model incorporating adsorption and capillarity for unsaturated/frozen soilen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume353-
dc.identifier.doi10.1016/j.enggeo.2025.108093-
dcterms.abstractHydraulic conductivity is a key parameter for describing seepage-related issues in soils. The soil water retention, soil water freezing, and soil water flow are essentially dominated by adsorption and capillarity. However, these mechanisms have not been effectively incorporated into a unified hydraulic conductivity model. This study proposes a hydraulic conductivity model based on the Navier-Stokes equations and capillary bundle model, which is applicable to both unsaturated and frozen soils. By considering the different influences of adsorption and capillarity on water flow and water freezing, the model can predict the hydraulic conductivities of soils in different states and distinguish the contributions of capillary flow and film flow to the total permeability. Benefiting from the consideration of physical mechanisms, the proposed model can use any of the soil water characteristic curve, the soil freezing characteristic curve, or the particle size distribution as input. The model achieves better prediction accuracy than existing models that do not consider the film flow and its reliability is validated through extensive experimental data including various sands, silts, and lean clays. This study not only provides an effective tool for predicting hydraulic conductivity but also highlights the underlying physical connections between soil water retention, soil water freezing, and seepage.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationEngineering geology, 2025, v. 353, 108093-
dcterms.isPartOfEngineering geology-
dcterms.issued2025-06-25-
dc.identifier.scopus2-s2.0-105003932671-
dc.identifier.eissn1872-6917-
dc.identifier.artn108093-
dc.description.validate202512 bcel-
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000637/2025-11en_US
dc.description.fundingSourceRGCen_US
dc.description.fundingTextThis research is supported by the Research Grants Council of the Hong Kong Special Administrative Region of China (Project Nos. 15226322 , 15229223 , and 15227624 ) to ZY.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-06-25en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2027-06-25
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