KRISO LCT 시험부 조건에서 함정 모형선 반류 수치해석 및 시험결과와 비교연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박일룡 | - |
dc.contributor.author | 김기섭 | - |
dc.contributor.author | 안종우 | - |
dc.contributor.author | 박영하 | - |
dc.contributor.author | 김명수 | - |
dc.date.accessioned | 2021-12-08T13:40:50Z | - |
dc.date.available | 2021-12-08T13:40:50Z | - |
dc.date.issued | 20151230 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3973 | - |
dc.description.abstract | This paper provides a numerical analysis for the wake distribution of the model of a surface ship mounted at KRISO Large Cavitation Tunnel(LCT). A 2nd order accurate finite volume method is used to solve the governing equations, where the SST k-ω model is used for turbulence closure. For the validation of the present numerical analysis, the computed wake distributions on the propeller plane of the surface ship model with various model test conditions are compared against available LCT experimental data.ST k-ω model is used for turbulence closure. For the validation of the present numerical analysis, the computed wake distributions on the propeller plane of the surface ship model with various model test conditions are compared against available LCT experimental data. | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | KRISO LCT 시험부 조건에서 함정 모형선 반류 수치해석 및 시험결과와 비교연구 | - |
dc.title.alternative | CFD Analysis for Wake Distribution of Model Ship mounted at LCT and Its Comparison with Measurement | - |
dc.type | Conference | - |
dc.citation.title | 대한조선학회 2015년도 추계학술대회 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 898 | - |
dc.citation.endPage | 901 | - |
dc.citation.conferenceName | 대한조선학회 2015년도 추계학술대회 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.