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Article

Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD)

by
Fatemeh Hoseini Dadmarzi
1,*,
Babak Ommani
1,2,
Andrea Califano
1,
Nuno Fonseca
1 and
Petter Andreas Berthelsen
1
1
SINTEF Ocean, P.O. Box 4762 Torgarden, 7465 Trondheim, Norway
2
Marine Technology Depatment, Norwegian University of Science and Technology (NTNU), 7052 Trondheim, Norway
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2025, 13(2), 264; https://doi.org/10.3390/jmse13020264
Submission received: 1 December 2024 / Revised: 20 January 2025 / Accepted: 21 January 2025 / Published: 30 January 2025
(This article belongs to the Special Issue Modelling Techniques for Floating Offshore Wind Turbines)

Abstract

Mean and slowly varying wave loads on floating offshore wind turbines (FOWTs) need to be estimated accurately for the design of mooring systems. The low-frequency drift forces are underestimated by potential flow theory, especially in steep waves. Viscous forces on columns is an important contributor which could be included by adding the quadratic drag of Morison formulation to the potential flow solution. The drag coefficients in Morison equation can be determined based on an empirical formula, CFD study, or model testing. In the WINDMOOR project, a FOWT support structure, composed of three columns joined at the bottom by pontoons and at the top by deck beams, is studied using CFD. In order to extract the KC-dependent drag coefficients, a series of simulations for the fixed structure in regular waves is performed with the CFD code STAR-CCM+. In this study, the forces along each column of the FOWT are analyzed using the results of CFD as well as potential flow simulations. The hydrodynamic interactions between the columns are addressed. A methodology is proposed to process the CFD results of forces on the columns and extract the contribution of viscous effects. Limitations of the Morison drag model to represent extracted viscous forces in steep waves are investigated. The obtained drag coefficients are compared with the available data in the literature. It is shown that accounting for potential flow interactions and nonlinear flow kinematics could, to a large degree, explain the previously reported differences between drag coefficients for a column in waves. Moreover, it is shown that the proposed model can capture the contribution of viscous effects to mean drift forces for fixed columns in waves.
Keywords: FOWT; force coefficients; CFD; waves; Morison forces; mean drift FOWT; force coefficients; CFD; waves; Morison forces; mean drift

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MDPI and ACS Style

Dadmarzi, F.H.; Ommani, B.; Califano, A.; Fonseca, N.; Berthelsen, P.A. Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD). J. Mar. Sci. Eng. 2025, 13, 264. https://doi.org/10.3390/jmse13020264

AMA Style

Dadmarzi FH, Ommani B, Califano A, Fonseca N, Berthelsen PA. Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD). Journal of Marine Science and Engineering. 2025; 13(2):264. https://doi.org/10.3390/jmse13020264

Chicago/Turabian Style

Dadmarzi, Fatemeh Hoseini, Babak Ommani, Andrea Califano, Nuno Fonseca, and Petter Andreas Berthelsen. 2025. "Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD)" Journal of Marine Science and Engineering 13, no. 2: 264. https://doi.org/10.3390/jmse13020264

APA Style

Dadmarzi, F. H., Ommani, B., Califano, A., Fonseca, N., & Berthelsen, P. A. (2025). Investigating Morison Modeling of Viscous Forces by Steep Waves on Columns of a Fixed Floating Offshore Wind Turbine (FOWT) Using Computational Fluid Dynamics (CFD). Journal of Marine Science and Engineering, 13(2), 264. https://doi.org/10.3390/jmse13020264

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