Feasibility Study on Numerical Predictions of Resistance and Self-Propulsion Performance for a Ship with and without a Stern Duct
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김광수 | - |
dc.contributor.author | 김유철 | - |
dc.contributor.author | 김진 | - |
dc.contributor.author | 김윤식 | - |
dc.contributor.author | 임태구 | - |
dc.contributor.author | 반석호 | - |
dc.date.accessioned | 2021-12-08T12:41:09Z | - |
dc.date.available | 2021-12-08T12:41:09Z | - |
dc.date.issued | 20160907 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/3760 | - |
dc.description.abstract | This paper describes the feasibility study on numerical towing tank applications for Tokyo 2015 CFD workshop (www. t2015.nmri.go.jp). The applications are Reynolds Averaged Navier-Stokes (RANS) equation based simulations to predict the performances of resistance and self-propulsion perfor-mances for the Japan Bulk Carrier (JBC) with and without a stern duct, which is one of the benchmark test cases in 2015 CFD workshop. The numerical grids are generated as three geometrically similar grid systems - coarse, medium, fine grids for the verification and validation (V&V) analysis of JBC. The V&V analysis is applied to the total resistance coef-ficients and self-propulsion parameters as an integral variable for bothcases with and without a stern duct. The energy sav-ing effect on the stern duct of JBC is also investigated. The numerical results, such as resistance coefficients, trim/sinkage, self-propulsion parameters, local wake distributions, wave elevation contours and etc., are compared with the experi-mental data and the good agreement is shown in the compari-son. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Feasibility Study on Numerical Predictions of Resistance and Self-Propulsion Performance for a Ship with and without a Stern Duct | - |
dc.title.alternative | Feasibility Study on Numerical Predictions of Resistance and Self-Propulsion Performance for a Ship with and without a Stern Duct | - |
dc.type | Conference | - |
dc.citation.title | PRADS 2016 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 7 | - |
dc.citation.conferenceName | PRADS 2016 | - |
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