Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session E38: Large Eddy Simulations: Wall Modeling
5:10 PM–6:15 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: Ballroom 1/2
Chair: J. A. Domaradzki, University of Southern California
Abstract ID: BAPS.2018.DFD.E38.1
Abstract: E38.00001 : Large eddy simulation of transitional boundary layer flow with two-parameter mixed models*
5:10 PM–5:23 PM
Presenter:
Young Mo Lee
(Ulsan National Institute of Science & Technology)
Authors:
Young Mo Lee
(Ulsan National Institute of Science & Technology)
Hyeon Gyu Hwang
(Ulsan National Institute of Science & Technology)
Jae Hwa Lee
(Ulsan National Institute of Science & Technology)
Large eddy simulation of a transitional boundary layer flow is performed to assess modified two-parameter mixed models. Because energy transfer between the grid-scale and subgrid-scale has to be modeled to characterize a transitional boundary layer flow, we combine the scale-similarity model and eddy viscosity model as a mixed model. For the proposed mixed models, the two model coefficients are determined by dynamic procedures and the effects of a stress tensor that involves the interaction between the resolved and unresolved scales are considered to estimate the proper energy exchange between large-scales and subgrid-scales. The proposed mixed model with the dynamic Smagorinsky model shows improved prediction in the skin-friction coefficient and shape factor in a transition region, compared to the earlier studies with various subgrid-scale models. The energy dissipation predicted by the present mixed model shows a good agreement with a filtered direct numerical simulation data, although the magnitude of the modeled dissipation is slightly underestimated.
*This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1A09000537) and the Ministry of Science, ICT & Future Planning (NRF-2017R1A5A1015311).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.E38.1
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