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Multi-resolution implicit large eddy simulations using a high-order overset-grid approach. (English) Zbl 1388.76105

Summary: A parallel, high-order, overset-grid method is validated for use in large eddy simulation (LES) through its application to fundamental turbulent flow problems. The current method employs a high-order, compact finite-difference approach to evaluate spatial derivatives, with up to tenth-order low-pass filters used to remove high-frequency spurious wave content. These filters have also been found to be effective in modelling the dissipation that occurs at the unresolved scales in the flow for LES simulations. Temporal integration is based on an implicit, approximately factored and diagonalized, second-order algorithm, which reduces the time-step constraints present in explicit time-marching methods for wall-bounded viscous flows. Parallelization, geometric complexity, and local grid refinement are all addressed through the use of an overset-grid approach, with grid communication provided by high-order Lagrangian interpolation. The problems investigated in this work include fully turbulent channel flow at \(Re_{\tau} = 590\) and 1017, and the transitional wake generated by flow over a single circular cylinder at \(Re_D = 3900\). The results obtained with the current approach are validated against well-resolved benchmark calculations or experiments and the impact of the order-of-accuracy of the interpolation method is investigated. The benefits obtained by using the general overset-grid technique to reduce grid point requirements compared to single-grid simulations are also examined. It is shown that for the problems considered in this work, substantial grid-point savings may be obtained with an overset-grid approach compared to a single-grid approach, and that the use of high-order interpolation at overset boundaries is important in maintaining overall solution accuracy.

MSC:

76F65 Direct numerical and large eddy simulation of turbulence
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References:

[1] Visbal, Journal of Fluids Engineering 124 pp 836– (2002)
[2] Rizzetta, AIAA Journal 41 pp 1452– (2003)
[3] , . A parallel high-order flow solver for large-eddy and direct numerical simulation. Thirty-second Fluid Dynamics Meeting, AIAA Paper 2002-3123, St. Louis, MO, June 2002.
[4] Kim, Journal of Fluid Mechanics 177 pp 133– (1987)
[5] Moser, Physics of Fluids 114 pp 943– (1999)
[6] Kravchenko, Journal of Computational Physics 127 pp 412– (1996)
[7] Morinishi, Computers and Fluids 32 pp 751– (2003)
[8] Giannakouros, International Journal for Numerical Methods in Fluids 14 pp 707– (2005)
[9] Wang, Journal of Computational Physics 194 pp 716– (2004)
[10] Kwok, Journal of Computational Physics 174 pp 510– (2001)
[11] Shariff, Journal of Computational Physics 145 pp 471– (1998)
[12] , . A chimera grid scheme. In Advances in Grid Generation, ASME-FED, vol. 5, (eds). The American Society of Mechanical Engineers: New York, 1983; 59–69.
[13] Visbal, Journal of Computational Physics 181 pp 155– (2002)
[14] Visbal, AIAA Journal 37 pp 1231– (1999)
[15] Gaitonde, AIAA Journal 38 pp 2103– (2000)
[16] Sherer, Journal of Computational Physics 210 pp 459– (2005)
[17] . High-order schemes for Navier–Stokes equations: algorithm and implementation into FDL3DI. Technical Report AFRL-VA-WP-TR-1998-3060, Air Force Research Laboratory, Wright-Patterson AFB, OH.
[18] , . An implicit LES approach based on high-order compact differencing and filtering schemes. Sixteenth Computational Fluid Dynamics Conference, AIAA Paper 2003-4098, Orlando, FL, June 2003.
[19] Stolz, Physics of Fluids 11 pp 1699– (1999)
[20] Mathews, Physics of Fluids 15 pp 2279– (2003)
[21] Moin, Physics of Fluids 3 pp 2746– (1991)
[22] Lele, Journal of Computational Physics 103 pp 16– (1992)
[23] . Computational study of acoustic scattering from multiple bodies using a high-order overset grid approach. Ninth Aeroacoustics Conference, AIAA Paper 2003-3203, Hilton Head, SC, June 2003.
[24] Further analysis of high-order overset grid method with applications. Sixteenth Computational Fluid Dynamics Conference, AIAA Paper 2003-3839, Orlando, FL, June 2003.
[25] . Large-eddy simulation of airfoil flows. Forty-first Aerospace Sciences Meeting, AIAA Paper 2003-0777, Reno, NV, January 2003.
[26] , . PEGASUS 5: an automated pre-processor for overset-grid CFD. Thirty-second Fluid Dynamics Meeting, AIAA Paper 2002-3186, St. Louis, MO, June 2002.
[27] Beam, AIAA Journal 16 pp 393– (1978)
[28] Fyfe, Mathematics of Computation 20 pp 392– (1966) · Zbl 0143.17207
[29] Pulliam, Journal of Computational Physics 29 pp 347– (1981)
[30] . Numerical simulation of delta-wing roll. Thirty-first Aerospace Sciences Meeting, AIAA Paper 93-0554, Reno, NV, January 1993.
[31] Del Álamo, Journal of Fluid Mechanics 500 pp 135– (2004)
[32] Fureby, Journal of Computational Physics 181 pp 68– (2002) · Zbl 1082.76555
[33] Rizzetta, International Journal for Numerical Methods in Fluids 42 pp 665– (2003)
[34] Wei, Journal of Fluid Mechanics 204 pp 57– (1898)
[35] Kravchenko, Physics of Fluids 12 pp 403– (2000)
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