RANS-based full-scale power predictions for a general cargo vessel, and comparison with sea-trial results
RANS-based full-scale power predictions for a general cargo vessel, and comparison with sea-trial results
Blind self-propulsion predictions for the 2016 LR Workshop on Ship Scale Hydrodynamic Computer Simulation have been carried out to simulate the full scale performance of a self-propelled ship in ballast. The single screw ship of 11542 tonnes had been scanned in drydock so the computational model used the actual as operated hull form. It will be shown that using a hybrid RANS-BEM method, the predicted ship speeds at self-propulsion are over-estimated by 0.17-0.28 knots compared to the trial data. The various aspects that influence the accuracy of the direct prediction of power and RPM using CFD are critically discussed.
CFD, Full-scale validation, Power prediction
353-364
International Center for Numerical Methods in Engineering
Starke, A. R.
81e1783c-da01-44ed-ad2b-b4f5a6ff79a1
Drakopoulos, K.
31ccc169-17e0-4778-b2ed-93337370bbd4
Toxopeus, S. L.
321850fd-dd6f-455c-8eee-ec9bc19fbdbc
Turnock, S. R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
15 May 2017
Starke, A. R.
81e1783c-da01-44ed-ad2b-b4f5a6ff79a1
Drakopoulos, K.
31ccc169-17e0-4778-b2ed-93337370bbd4
Toxopeus, S. L.
321850fd-dd6f-455c-8eee-ec9bc19fbdbc
Turnock, S. R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Starke, A. R., Drakopoulos, K., Toxopeus, S. L. and Turnock, S. R.
(2017)
RANS-based full-scale power predictions for a general cargo vessel, and comparison with sea-trial results.
Queutey, Patrick, Le Touze, David and Visonneau, Michel
(eds.)
In 7th International Conference on Computational Methods in Marine Engineering, MARINE 2017.
vol. 2017-May,
International Center for Numerical Methods in Engineering.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Blind self-propulsion predictions for the 2016 LR Workshop on Ship Scale Hydrodynamic Computer Simulation have been carried out to simulate the full scale performance of a self-propelled ship in ballast. The single screw ship of 11542 tonnes had been scanned in drydock so the computational model used the actual as operated hull form. It will be shown that using a hybrid RANS-BEM method, the predicted ship speeds at self-propulsion are over-estimated by 0.17-0.28 knots compared to the trial data. The various aspects that influence the accuracy of the direct prediction of power and RPM using CFD are critically discussed.
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Published date: 15 May 2017
Additional Information:
Funding Information:
This research is partially funded by the Dutch Ministry of Economic Affairs.
Publisher Copyright:
© 2017 International Center for Numerical Methods in Engineering. All rights reserved.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
Venue - Dates:
7th International Conference on Computational Methods in Marine Engineering, MARINE 2017, , Nantes, France, 2017-05-15 - 2017-05-17
Keywords:
CFD, Full-scale validation, Power prediction
Identifiers
Local EPrints ID: 449028
URI: http://eprints.soton.ac.uk/id/eprint/449028
PURE UUID: c9fe2870-51a9-4feb-9187-cc971790fd0a
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Date deposited: 13 May 2021 16:41
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
A. R. Starke
Author:
K. Drakopoulos
Author:
S. L. Toxopeus
Editor:
Patrick Queutey
Editor:
David Le Touze
Editor:
Michel Visonneau
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