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입방체 주위의 기류 해석에 의한 표준 k-ε 모델과 Low-Reynolds Number형 k-ε 모델의 성능 비교

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dc.contributor.author장현재-
dc.date.accessioned2022-01-03T06:42:01Z-
dc.date.available2022-01-03T06:42:01Z-
dc.date.created2021-12-28-
dc.date.issued2009-
dc.identifier.issn1226-9093-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/22094-
dc.description.abstractStandard k-ε model was made for fully developed turbulence and has been utilized with wall function for the flow around wall. However when standard k-ε model, high Reynolds number model, is applied to CFD simulation specially in the air flow region of separation, reattachment and transition, the accuracy of analysis cannot be assured. For improving the weakness like these of standard k-ε model, many types of Low-Reynolds number k-ε model have been suggested. In this study, the analysis accuracy was compared between standard k-ε model, Abe-Nagano-Kondo model which is Low-Reynolds number k-ε model, and improved Abe-Nagano-Kondo model for the air flow around cube. As a result, improved Abe-Nagano-Kondo model showed the highest analysis accuracy on separation, reattachment and recirculation among them.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한건축학회-
dc.title입방체 주위의 기류 해석에 의한 표준 k-ε 모델과 Low-Reynolds Number형 k-ε 모델의 성능 비교-
dc.title.alternativeA Comparison between Standard k-ε Model and Low-Reynolds Number k-ε Model for the Analysis of Air Flow around Cube-
dc.typeArticle-
dc.contributor.affiliatedAuthor장현재-
dc.identifier.bibliographicCitation대한건축학회논문집 계획계, v.25, no.10, pp.255 - 262-
dc.relation.isPartOf대한건축학회논문집 계획계-
dc.citation.title대한건축학회논문집 계획계-
dc.citation.volume25-
dc.citation.number10-
dc.citation.startPage255-
dc.citation.endPage262-
dc.type.rimsART-
dc.identifier.kciidART001386750-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthor수치해석-
dc.subject.keywordAuthor표준 k-ε 모델-
dc.subject.keywordAuthorLow-Reynolds number형 k-ε 모델-
dc.subject.keywordAuthorCFD Simulation-
dc.subject.keywordAuthorStandard k-ε Model-
dc.subject.keywordAuthorLow-Reynolds Number k-ε Model-
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