Stochastic analysis of three-dimensional hydraulic conductivity upscaling in a heterogeneous tropical soil

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dc.contributor.affiliationDepartamento de Ingeniería Hidráulica y Medio Ambiente
dc.contributor.affiliationInstituto Universitario de Ingeniería del Agua y del Medio Ambiente
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
dc.contributor.authorGodoy, Vanessa A.
dc.contributor.authorZuquette, L.V.es_ES
dc.contributor.authorGómez-Hernández, J. Jaime
dc.contributor.funderCoordenaçao de Aperfeiçoamento de Pessoal de Nível Superior, Brasiles_ES
dc.contributor.funderConselho Nacional de Desenvolvimento Científico e Tecnológico, Brasiles_ES
dc.date.accessioned2020-06-10T03:31:51Z
dc.date.available2020-06-10T03:31:51Z
dc.date.issued2018-08es_ES
dc.description.abstract[EN] Hydraulic conductivity (K) heterogeneity is seldom considered in geotechnical practice for the impossibility of sampling the entire area of interest and for the difficulty of accounting for scale effects. Stochastic three-dimensional K upscaling can tackle these two problems, and a workflow is described with an application in a tropical soil. The application shows that K heterogeneity can be incorporated in the daily practice of the geotechnical modeler while discussing the aspects to consider when performing the upscaling so that the upscaled models reproduce the average fluxes at the fine scale.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationGodoy, Vanessa A.;Zuquette, L.;Gómez-Hernández, J. Jaime (2018). Stochastic analysis of three-dimensional hydraulic conductivity upscaling in a heterogeneous tropical soil. Computers and Geotechnics. 100:174-187. https://doi.org/10.1016/j.compgeo.2018.03.004es_ES
dc.description.sponsorshipThe authors thank the financial support by the Brazilian National Council for Scientific and Technological Development (CNPq) (Project 401441/2014-8). The doctoral fellowship award to the first author by the Coordination of Improvement of Higher Level Personnel (CAPES) is gratefully acknowledged. The first author thanks the International Mobility Grant awarded by CNPq (200597/2015-9) and Santander mobility. The authors also thank DHI-WASI for providing a FEFLOW Software license.es_ES
dc.description.upvformatpfin187es_ES
dc.description.upvformatpinicio174es_ES
dc.description.volume100es_ES
dc.identifier.doi10.1016/j.compgeo.2018.03.004es_ES
dc.identifier.issn0266-352Xes_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/145857
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.ispartofComputers and Geotechnicses_ES
dc.relation.pasarelaS\376099es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/CNPq//401441%2F2014-8/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/CNPq//200597%2F2015-9/es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.compgeo.2018.03.004es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectSpatial variabilityes_ES
dc.subjectHydraulic conductivityes_ES
dc.subjectUpscalinges_ES
dc.subjectSimple averaginges_ES
dc.subjectLaplacian-with-skines_ES
dc.subject.classificationINGENIERIA HIDRAULICAes_ES
dc.titleStochastic analysis of three-dimensional hydraulic conductivity upscaling in a heterogeneous tropical soiles_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier775230
person.identifier3352
person.identifier.orcid0000-0002-2594-7351
person.identifier.orcid0000-0002-0720-2196
relation.isAuthorOfPublication16d734aa-ec1c-4422-b0bd-024426bcafeb
relation.isAuthorOfPublicationdc809784-2521-432b-aafd-9be1b6ebd0d8
relation.isAuthorOfPublication.latestForDiscoverydc809784-2521-432b-aafd-9be1b6ebd0d8
relation.isOrgUnitOfPublicatione8876040-9428-45e8-b805-b5bbc20e9e1e
relation.isOrgUnitOfPublication937991bf-5e71-4f67-ae2a-1fb780a35167
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upv.uuid3d465b59-a9b8-4c48-bedc-bf322cdfce5des_ES

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