URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation

The paper presents computations on predicting the hydrodynamics of a generic floating liquefied natural gas (FLNG) hull form in regular head sea waves using unsteady Reynolds-Averaged Navier-Stokes (URANS) solver StarCCM+. Initially, model scale simulations were conducted at model test basin water d...

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Published in:Volume 2: CFD and VIV
Main Authors: Jin, Y, Chai, S, Duffy, J, Chin, C, Bose, N, Sun, L
Format: Conference Object
Language:English
Published: American Society of Mechanical Engineers 2016
Subjects:
Online Access:https://doi.org/10.1115/OMAE2016-54295
http://ecite.utas.edu.au/109751
id ftunivtasecite:oai:ecite.utas.edu.au:109751
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spelling ftunivtasecite:oai:ecite.utas.edu.au:109751 2023-05-15T14:27:41+02:00 URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation Jin, Y Chai, S Duffy, J Chin, C Bose, N Sun, L 2016 application/pdf https://doi.org/10.1115/OMAE2016-54295 http://ecite.utas.edu.au/109751 en eng American Society of Mechanical Engineers http://ecite.utas.edu.au/109751/1/OMAE2016-54295.pdf http://dx.doi.org/10.1115/OMAE2016-54295 Jin, Y and Chai, S and Duffy, J and Chin, C and Bose, N and Sun, L, URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation, Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2016), 19-24 June 2016, Busan, South Korea, pp. 1-9. ISBN 978-0-7918-4993-4 (2016) [Refereed Conference Paper] http://ecite.utas.edu.au/109751 Engineering Maritime Engineering Ocean Engineering Refereed Conference Paper PeerReviewed 2016 ftunivtasecite https://doi.org/10.1115/OMAE2016-54295 2019-12-13T22:10:26Z The paper presents computations on predicting the hydrodynamics of a generic floating liquefied natural gas (FLNG) hull form in regular head sea waves using unsteady Reynolds-Averaged Navier-Stokes (URANS) solver StarCCM+. Initially, model scale simulations were conducted at model test basin water depth (d=0.8m), with detailed verification and validation study performed to estimate numerical uncertainties. The simulation results were compared with potential flow solutions and validated against experimental studies. Using the verified numerical setup, ship hydrodynamics including wave induced loads, moments as well as ship motion responses in deep water waves(d=8.0m) have been studied. The computed time history results were decomposed by Fourier series to obtain force/moment and motion transfer functions on the frequency domain. From the obtained results, the presented URANS approach demonstrates slightly better accuracy compared with potential flow (PF) solutions. It is also found that water depth has great influences on the computed wave force and ship motion transfer functions for certain range of wave frequencies. Conference Object Arctic eCite UTAS (University of Tasmania) Volume 2: CFD and VIV
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Engineering
Maritime Engineering
Ocean Engineering
spellingShingle Engineering
Maritime Engineering
Ocean Engineering
Jin, Y
Chai, S
Duffy, J
Chin, C
Bose, N
Sun, L
URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
topic_facet Engineering
Maritime Engineering
Ocean Engineering
description The paper presents computations on predicting the hydrodynamics of a generic floating liquefied natural gas (FLNG) hull form in regular head sea waves using unsteady Reynolds-Averaged Navier-Stokes (URANS) solver StarCCM+. Initially, model scale simulations were conducted at model test basin water depth (d=0.8m), with detailed verification and validation study performed to estimate numerical uncertainties. The simulation results were compared with potential flow solutions and validated against experimental studies. Using the verified numerical setup, ship hydrodynamics including wave induced loads, moments as well as ship motion responses in deep water waves(d=8.0m) have been studied. The computed time history results were decomposed by Fourier series to obtain force/moment and motion transfer functions on the frequency domain. From the obtained results, the presented URANS approach demonstrates slightly better accuracy compared with potential flow (PF) solutions. It is also found that water depth has great influences on the computed wave force and ship motion transfer functions for certain range of wave frequencies.
format Conference Object
author Jin, Y
Chai, S
Duffy, J
Chin, C
Bose, N
Sun, L
author_facet Jin, Y
Chai, S
Duffy, J
Chin, C
Bose, N
Sun, L
author_sort Jin, Y
title URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
title_short URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
title_full URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
title_fullStr URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
title_full_unstemmed URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
title_sort urans prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation
publisher American Society of Mechanical Engineers
publishDate 2016
url https://doi.org/10.1115/OMAE2016-54295
http://ecite.utas.edu.au/109751
genre Arctic
genre_facet Arctic
op_relation http://ecite.utas.edu.au/109751/1/OMAE2016-54295.pdf
http://dx.doi.org/10.1115/OMAE2016-54295
Jin, Y and Chai, S and Duffy, J and Chin, C and Bose, N and Sun, L, URANS prediction of ship hydrodynamics in head sea waves at zero forward speed with model testing validation, Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2016), 19-24 June 2016, Busan, South Korea, pp. 1-9. ISBN 978-0-7918-4993-4 (2016) [Refereed Conference Paper]
http://ecite.utas.edu.au/109751
op_doi https://doi.org/10.1115/OMAE2016-54295
container_title Volume 2: CFD and VIV
_version_ 1766301531611594752