3D MODELING OF TURBULENT FLOWS USING LES AND RANS APPROACHES BASED ON FILTERED EXPEDITION DATA
https://doi.org/10.23947/2587-8999-2022-1-2-61-69
Abstract
The article describes the developed software that made it possible to process a large amount of data from observations of the movement and parameters of the aquatic environment in the Sea of Azov, which was obtained during expeditionary research using the ADCP hydrophysical probe, using the filtration procedure. The filtering procedure significantly reduces the spread of data and the amplitude of fluctuations, which, in turn, makes it possible to more adequately evaluate the information obtained during field experiments. For different filter widths, a box filter, a Gauss filter and a Fourier filter were used. In these calculations, the filter width was set based on the size of the hydrodynamics problem to be solved and the grid scale corresponding to this size. The obtained data are planned to be used for numerical simulation of three-dimensional turbulent flows using the LES approach and comparison with the results of averaging by RANS.
Keywords
Supporting agencies: The research was carried out at the expense of the grant of the Russian Science Foundation No. 22-71-00015, https://rscf.ru/project/22-71-00015/
About the Author
S. V. Protsenko
Taganrog Institute named after A.P. Chekhov (branch) of RSUE
Russian Federation
Russian Federation
Protsenko Sofya V., PhD of Science in Physics and Maths
Taganrog
References
1. Chamecki, M., Chor, T., Yang, D., and Meneveau, C. (2019). Material transport in the ocean mixed layer: recent developments enabled by large eddy simulations. Rev. Geophys. 57, 1338–1371. doi: 10.1029/2019RG000655
2. DiBenedetto, M. H., Ouellette, N. T., and Koseff, J. R. (2018). Transport of anisotropic particles under waves. J. Fluid Mech. 837, 320–340. doi: 10.1017/jfm.2017.853.
3. Karlsson, T. M., Kärrman, A., Rotander, A., and Hassellöv, M. (2019). Comparison between manta trawl and in situ pump filtration methods, and guidance for visual identification of microplastics in surface waters. Environ. Sci. Pollut. Res. 27, 5559–5571. doi: 10.1007/s11356-019-07274-5.
4. Onink, V., Wichmann, D., Delandmeter, P., and Van Sebille, E. (2019). The role of Ekman currents, geostrophy and Stokes drift in the accumulation of floating microplastic. J. Geophys. Res. Oceans 124, 1474–1490. doi: 10.1029/2018JC014547.
5. Prata, J. C., da Costa, J. P., Duarte, A. C., and Rocha-Santos, T. (2019). Methods for sampling and detection of microplastics in water and sediment: a critical review. Trends Anal. Chem. 110, 150–159. doi: 10.1016/j.trac.2018.10.029.
6. Protsenko S., Sukhinova T. Mathematical modeling of wave processes and transport of bottom materials in coastal water areas taking into account coastal structures. MATEC Web of Conferences 132, 2017, 04002.
7. Smit, P. B., Janssen, T. T., and Herbers, T. H. C. (2017). Nonlinear wave kinematics near the ocean surface. J. Phys. Oceanogr. 47, 1657–1673. doi: 10.1175/JPO-D-16-0281.1.
8. Sukhinov A. I., Protsenko S. V. Long Waves Simulation in Coastal Systems Using Parallel Computational Technologies // Young Scientist's Third International Workshop on Trends in Information Processing. ‒Vol. 2500. ‒ 2019. ‒ pp. 1-10. http://ceur-ws.org/Vol-2500/paper_1.pdf
9. Sukhinov A.I., Chistyakov A.E., Protsenko E.A., Sidoryakina V.V., Protsenko S.V. Accounting method of filling cells for the hydrodynamics problems solution with complex geometry of the computational domain // Matem. Mod. 2019. Vol. 31, No. 8. pp. 79–100. DOI: https://doi.org/10.1134/S0234087919080057.
10. Sukhinov A.I., Chistyakov A.E., Protsenko E.A., Sidoryakina V.V., Protsenko S.V. Parallel algorithms for solving the problem of coastal bot-tom relief dynamics // Num. Meth. Prog. 2020. Vol. 21, No 3. pp. 196–206. DOI: https://doi.org/10.26089/NumMet.v21r318.
11. Sukhinov A.I., Sukhinov A.A. 3D Model of Diffusion-Advection-Aggregation Suspensions in Water Basins and Its Parallel Realization // Parallel Computational Fluid Dynamics, Multidisciplinary Applications, Proceedings of Parallel CFD 2004 Conference, Las Palmas de Gran Canaria, Spain, ELSEVIER, Amsterdam- Berlin-London-New York-Tokyo. 2005. pp. 223-230.
12. Zippel, S. F., Thomson, J., and Farquharson, G. (2018). Turbulence from breaking surface waves at a river mouth. J. Phys. Oceanogr. 48, 435–453. doi: 10.1175/JPO-D-17-0122.1/
Review
For citations:
Protsenko S.V. 3D MODELING OF TURBULENT FLOWS USING LES AND RANS APPROACHES BASED ON FILTERED EXPEDITION DATA. Computational Mathematics and Information Technologies. 2022;6(2):61-69. https://doi.org/10.23947/2587-8999-2022-1-2-61-69
Views:
148
Email this article 