With the increased activities in the exploration and production in oil and gas in 1,000–3,000m water depth, the offshore industry enters a challenging phase. Reliable model testing in deep water basins requires the controlled modeling of current and wave in time and space to achieve a well-defined offshore environment. Current generation is considered to be one of the key challenges for the design and construction of a physical deep water test basin. Apart from the physical setup, a virtual numerical wave basin is an integral part of the whole facility. Among others, accurate representation of current generation is an indispensable component of the numerical package in order to achieve an accurate numerical simulation of wave and current. In OpenFOAM, the density is not considered in turbulence formulations for two phase flow (Jacobsen, 2012 and Harrif, 2013) where free surface is considered. Thus excessive diffusion of turbulence takes place over the interface, which results in poor results of velocity profiles and turbulence quantities for current generation. In this paper, standard k–ε, realizable k– and SST k–ω turbulence models have been correctly formulated by taking into account the effect of density according to the references (Jones and Launder, 1972; Shih et al., 1994; Hellsten, 1997) and implemented in OpenFOAM two phase flow solver. The velocity profile and turbulence quantities have been calculated and validated against the data by Klopman (1994) using the modified turbulence models. The validation reveals that correctly formulated k–ε, realizable k–ε and SST k ω turbulence models yield better agreement, as compared to the existing models in OpenFOAM, with experimental data in terms of current profile and turbulence quantities. The numerical model is then applied to simulate the generation of a three-layer current system. The turbulence intensity and shear velocity profile are presented.
Skip Nav Destination
ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering
May 31–June 5, 2015
St. John’s, Newfoundland, Canada
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5648-2
PROCEEDINGS PAPER
Numerical Simulation of Current Generation in Deep Water Basin
Yali Zhang,
Yali Zhang
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Search for other works by this author on:
Yu Chen,
Yu Chen
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Search for other works by this author on:
Johan Gullman-Strand,
Johan Gullman-Strand
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Search for other works by this author on:
Myha Dao,
Myha Dao
Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Search for other works by this author on:
Rajeev K. Jaiman,
Rajeev K. Jaiman
National University of Singapore, Singapore, Singapore
Search for other works by this author on:
Wei Zhang
Wei Zhang
National University of Singapore, Singapore, Singapore
Search for other works by this author on:
Yali Zhang
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Yu Chen
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Johan Gullman-Strand
Lloyd’s Register Global Technology Centre, Singapore, Singapore
Myha Dao
Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
Rajeev K. Jaiman
National University of Singapore, Singapore, Singapore
Wei Zhang
National University of Singapore, Singapore, Singapore
Paper No:
OMAE2015-41812, V002T08A014; 9 pages
Published Online:
October 21, 2015
Citation
Zhang, Y, Chen, Y, Gullman-Strand, J, Dao, M, Jaiman, RK, & Zhang, W. "Numerical Simulation of Current Generation in Deep Water Basin." Proceedings of the ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. Volume 2: CFD and VIV. St. John’s, Newfoundland, Canada. May 31–June 5, 2015. V002T08A014. ASME. https://doi.org/10.1115/OMAE2015-41812
Download citation file:
13
Views
Related Proceedings Papers
Related Articles
Model Test of a 1:8-Scale Floating Wind Turbine Offshore in the Gulf of Maine
J. Offshore Mech. Arct. Eng (August,2015)
Filling Process in an Open Tank
J. Fluids Eng (November,2003)
A Stochastic Lagrangian Model for Near-Wall Turbulent Heat Transfer
J. Heat Transfer (February,1997)
Related Chapters
Estimating Resilient Modulus Using Neural Network Models
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Industrially-Relevant Multiscale Modeling of Hydrogen Assisted Degradation
International Hydrogen Conference (IHC 2012): Hydrogen-Materials Interactions
On the Exact Analysis of Non-Coherent Fault Trees: The ASTRA Package (PSAM-0285)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)