Publication:

Stochastic discrete equation method (sDEM) for two-phase flows

Date

Date

Date
2015
Journal Article
Published version
cris.lastimport.scopus2025-08-09T03:46:18Z
cris.lastimport.wos2025-08-14T01:32:29Z
cris.virtual.orcidhttps://orcid.org/0000-0002-5553-7476
cris.virtualsource.orcidb78b9ff0-f367-43ce-a0e6-86a0b214a594
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2016-02-03T10:18:24Z
dc.date.available2016-02-03T10:18:24Z
dc.date.issued2015-10-05
dc.description.abstract

A new scheme for the numerical approximation of a five-equation model taking into account Uncertainty Quantification (UQ) is presented. In particular, the Discrete Equation Method (DEM) for the discretization of the five-equation model is modified for including a formulation based on the adaptive Semi-Intrusive (aSI) scheme, thus yielding a new intrusive scheme (sDEM) for simulating stochastic two-phase flows. Some reference test-cases are performed in order to demonstrate the convergence properties and the efficiency of the overall scheme. The propagation of initial conditions uncertainties is evaluated in terms of mean and variance of several thermodynamic properties of the two phases.

dc.identifier.doi10.1016/j.jcp.2015.06.013
dc.identifier.issn0021-9991
dc.identifier.scopus2-s2.0-84937723729
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/117537
dc.identifier.wos000360087400017
dc.language.isoeng
dc.subjectPhysics and Astronomy (miscellaneous)
dc.subjectComputer Science Applications
dc.subject.ddc510 Mathematics
dc.title

Stochastic discrete equation method (sDEM) for two-phase flows

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/closedAccess
dcterms.bibliographicCitation.journaltitleJournal of Computational Physics
dcterms.bibliographicCitation.originalpublishernameElsevier
dcterms.bibliographicCitation.pageend306
dcterms.bibliographicCitation.pagestart281
dcterms.bibliographicCitation.volume299
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationINRIA Institut National de Recherche en Informatique et en Automatique
uzh.contributor.affiliationStanford University
uzh.contributor.affiliationINRIA Institut National de Recherche en Informatique et en Automatique
uzh.contributor.authorAbgrall, Rémi
uzh.contributor.authorCongedo, Pietro Marco
uzh.contributor.authorGeraci, Gianluca
uzh.contributor.authorRodio, Maria Giovanna
uzh.contributor.correspondenceYes
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.document.availabilitynone
uzh.eprint.datestamp2016-02-03 10:18:24
uzh.eprint.lastmod2025-08-14 01:39:20
uzh.eprint.statusChange2016-02-03 10:18:24
uzh.funder.nameFP7
uzh.funder.projectNumber226316
uzh.funder.projectTitleADDECCO - Adaptive Schemes for Deterministic and Stochastic Flow Problems
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-121476
uzh.jdb.eprintsId13435
uzh.oastatus.unpaywallclosed
uzh.oastatus.zoraClosed
uzh.publication.citationAbgrall, R., Congedo, P. M., Geraci, G., & Rodio, M. G. (2015). Stochastic discrete equation method (sDEM) for two-phase flows. Journal of Computational Physics, 299, 281–306. https://doi.org/10.1016/j.jcp.2015.06.013
uzh.publication.freeAccessAtUNSPECIFIED
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact3
uzh.scopus.subjectsNumerical Analysis
uzh.scopus.subjectsModeling and Simulation
uzh.scopus.subjectsPhysics and Astronomy (miscellaneous)
uzh.scopus.subjectsGeneral Physics and Astronomy
uzh.scopus.subjectsComputer Science Applications
uzh.scopus.subjectsComputational Mathematics
uzh.scopus.subjectsApplied Mathematics
uzh.workflow.doajuzh.workflow.doaj.false
uzh.workflow.eprintid121476
uzh.workflow.fulltextStatusrestricted
uzh.workflow.revisions55
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uzh.workflow.statusarchive
uzh.wos.impact3
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