Evaluation of turbulence models for estimating the wake region of artificial reefs using particle image velocimetry and computational fluid dynamics SCIE SCOPUS

DC Field Value Language
dc.contributor.author Kim, Dongha -
dc.contributor.author Jung, Somi -
dc.contributor.author Na, Won-Bae -
dc.date.accessioned 2021-02-23T06:50:01Z -
dc.date.available 2021-02-23T06:50:01Z -
dc.date.created 2021-02-08 -
dc.date.issued 2021-03-01 -
dc.identifier.issn 0029-8018 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/40069 -
dc.description.abstract Many studies have evaluated the performance of turbulence models used for computational fluid dynamics (CFD) analysis of artificial reefs (ARs), but an optimal model remains elusive, particularly in terms of wake length and areal estimation. Only a few models were used in previous studies and no report has yet investigated wake shape. We compared five turbulence models and verified the CFD results using particle image velocimetry (PIV). A standard k-epsilon model, renormalization group k-epsilon model, k-omega model, shear stress transportation k-omega model, and Reynolds stress model (RSM) were used. A down-scaled half-ball-type AR was devised and CFD and PIV analyses were performed. Three different inlet velocities (three Reynolds numbers, Re) were considered in each model, and the CFD and PIV results were compared. Wake lengths obtained in the PIV experiments were 1.05 L (Re = 2632), 0.90 L (Re = 5655) and 0.85 L (Re = 8782), respectively. The RSM well-reflected this, especially when Re = 2632 (difference +1%) and Re = 5655 (difference -2%). PIV revealed that all wake regions had unique shapes, reflecting flow divergence (local upwelling) from the end of the wake. Considering such divergent flow, the RSM optimally predicted the overall characteristics of the wake region. -
dc.description.uri 1 -
dc.language English -
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD -
dc.title Evaluation of turbulence models for estimating the wake region of artificial reefs using particle image velocimetry and computational fluid dynamics -
dc.type Article -
dc.citation.title OCEAN ENGINEERING -
dc.citation.volume 223 -
dc.contributor.alternativeName 김동하 -
dc.identifier.bibliographicCitation OCEAN ENGINEERING, v.223 -
dc.identifier.doi 10.1016/j.oceaneng.2021.108673 -
dc.identifier.wosid 000625304400038 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Artificial reef -
dc.subject.keywordAuthor Wake region -
dc.subject.keywordAuthor Turbulence model -
dc.subject.keywordAuthor PIV measurement -
dc.subject.keywordAuthor CFD analysis -
dc.relation.journalWebOfScienceCategory Engineering, Marine -
dc.relation.journalWebOfScienceCategory Engineering, Civil -
dc.relation.journalWebOfScienceCategory Engineering, Ocean -
dc.relation.journalWebOfScienceCategory Oceanography -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering -
dc.relation.journalResearchArea Oceanography -
Appears in Collections:
Sea Power Enhancement Research Division > Coastal Disaster & Safety Research Department > 1. Journal Articles
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