Computations and measurements of the global drag force on a tension-Leg platform
Computations and measurements of the global drag force on a tension-Leg platform
We present experimental and computational results for the global drag force on a model Tension-Leg Platform (TLP) in uniform current for various values of the Reynolds number in the subcritical regime (Re = 104 - 1.06 × 105). The objective of the experiments, which were performed in a towing tank on a representative TLP configuration, was to provide data suitable for validating numerical model predictions. The purpose of the simulations was to determine the extent to which Large-Eddy Simulations (LES), when used as a truly predictive tool, can be relied upon to provide reliable estimates of the total drag force. Thus the simulations were performed only once with no further computations performed in order to bring about closer agreement with the measurements. The dependence of the computed results on the numerical grid was checked using the Grid-Convergence Index (GCI) method applied to results from benchmark flows. These results also served to assess the dependence on the value of the Smagorinsky constant in the model for the sub-grid scale terms. It was found that, at the highest value of Reynolds number considered, the variation between the measured and predicted values of the global drag coefficient was under 10% - a result which is in line with the limitations inherent in both.
TLP, vortex shedding, Global drag, Towing-tank tests, LES
1-10
Shaoshi, Dai
31c3d762-052e-43be-b804-63c92bcc9003
Chaplin, John
d5ed2ba9-df16-4a19-ab9d-32da7883309f
Younis, Bassam
d4876ed8-303f-4d71-9382-216cfdb02653
Tang, D.
800eb0b5-2a75-4dc3-9282-6d69bd78fba3
Zhai, T L
1de7aa2d-ed79-45f2-93ae-c327cdd3d791
9 September 2021
Shaoshi, Dai
31c3d762-052e-43be-b804-63c92bcc9003
Chaplin, John
d5ed2ba9-df16-4a19-ab9d-32da7883309f
Younis, Bassam
d4876ed8-303f-4d71-9382-216cfdb02653
Tang, D.
800eb0b5-2a75-4dc3-9282-6d69bd78fba3
Zhai, T L
1de7aa2d-ed79-45f2-93ae-c327cdd3d791
Shaoshi, Dai, Chaplin, John, Younis, Bassam, Tang, D. and Zhai, T L
(2021)
Computations and measurements of the global drag force on a tension-Leg platform.
Ocean Engineering, 239, , [109710].
(doi:10.1016/j.oceaneng.2021.109710).
Abstract
We present experimental and computational results for the global drag force on a model Tension-Leg Platform (TLP) in uniform current for various values of the Reynolds number in the subcritical regime (Re = 104 - 1.06 × 105). The objective of the experiments, which were performed in a towing tank on a representative TLP configuration, was to provide data suitable for validating numerical model predictions. The purpose of the simulations was to determine the extent to which Large-Eddy Simulations (LES), when used as a truly predictive tool, can be relied upon to provide reliable estimates of the total drag force. Thus the simulations were performed only once with no further computations performed in order to bring about closer agreement with the measurements. The dependence of the computed results on the numerical grid was checked using the Grid-Convergence Index (GCI) method applied to results from benchmark flows. These results also served to assess the dependence on the value of the Smagorinsky constant in the model for the sub-grid scale terms. It was found that, at the highest value of Reynolds number considered, the variation between the measured and predicted values of the global drag coefficient was under 10% - a result which is in line with the limitations inherent in both.
Text
AOR (BAY Revised)
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More information
Accepted/In Press date: 18 August 2021
e-pub ahead of print date: 9 September 2021
Published date: 9 September 2021
Keywords:
TLP, vortex shedding, Global drag, Towing-tank tests, LES
Identifiers
Local EPrints ID: 501109
URI: http://eprints.soton.ac.uk/id/eprint/501109
ISSN: 0029-8018
PURE UUID: 445c4cdd-3c99-44f2-988e-a3314b2f12ce
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Date deposited: 23 May 2025 17:06
Last modified: 21 Aug 2025 05:08
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Contributors
Author:
Dai Shaoshi
Author:
Bassam Younis
Author:
D. Tang
Author:
T L Zhai
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