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A Lagrangian stochastic model for turbulent dispersion

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dc.contributor.authorLee, C-
dc.contributor.authorKim, B-
dc.contributor.authorKim, N-
dc.date.accessioned2022-04-12T06:40:49Z-
dc.date.available2022-04-12T06:40:49Z-
dc.date.created2022-04-12-
dc.date.issued2001-12-
dc.identifier.issn1226-4865-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/27166-
dc.description.abstractA Lagrangian stochastic model is adopted for the calculations of turbulent dispersion in turbulent channel flows. Dispersion of a fluid particle and relative dispersion between two particles released at the same location are investigated and compared with the classical scaling relations for homogeneous turbulence. The viscous effect is realized by adding a Browinian random walk to the calculation of the position of a particle. The near-wall accumulation of particles is examined.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN SOC MECHANICAL ENGINEERS-
dc.subjectFLOWS-
dc.subjectSIMULATION-
dc.subjectSELECTION-
dc.titleA Lagrangian stochastic model for turbulent dispersion-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, N-
dc.identifier.doi10.1007/BF03185123-
dc.identifier.scopusid2-s2.0-0035649132-
dc.identifier.wosid000172590300010-
dc.identifier.bibliographicCitationKSME INTERNATIONAL JOURNAL, v.15, no.12, pp.1683 - 1690-
dc.relation.isPartOfKSME INTERNATIONAL JOURNAL-
dc.citation.titleKSME INTERNATIONAL JOURNAL-
dc.citation.volume15-
dc.citation.number12-
dc.citation.startPage1683-
dc.citation.endPage1690-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.subject.keywordPlusFLOWS-
dc.subject.keywordPlusSIMULATION-
dc.subject.keywordPlusSELECTION-
dc.subject.keywordAuthorLagrangian stochastic model-
dc.subject.keywordAuthorBrownian motion-
dc.subject.keywordAuthorturbulent dispersion-
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