2012
DOI: 10.1002/fld.2753
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LES of temporally evolving mixing layers by an eighth‐order filter scheme

Abstract: An eighth-order filter method for a wide range of compressible flow speeds (H.C. Yee and B. Sjogreen, Proceedings of ICOSAHOM09, June 22-26, 2009, Trondheim, Norway) are employed for large eddy simulations (LES) of temporally evolving mixing layers (TML) for different convective Mach numbers (M c ) and Reynolds numbers. The high order filter method is designed for accurate and efficient simulations of shock-free compressible turbulence, turbulence with shocklets and turbulence with strong shocks with minimum … Show more

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Cited by 21 publications
(19 citation statements)
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“…The objective of this paper is to use the same TML problem setup and convective Mach cases as in [11] to compare the performance of WENO7fi with standard WENO5 and WENO7 for convective Mach numbers M c = 0.1,0.3,0.8,1.0,1.5. For WENO7fi, no tuning of scheme parameters is needed for all theM c cases.…”
Section: Objective and Outlinementioning
confidence: 99%
“…The objective of this paper is to use the same TML problem setup and convective Mach cases as in [11] to compare the performance of WENO7fi with standard WENO5 and WENO7 for convective Mach numbers M c = 0.1,0.3,0.8,1.0,1.5. For WENO7fi, no tuning of scheme parameters is needed for all theM c cases.…”
Section: Objective and Outlinementioning
confidence: 99%
“…The main difference when using the constant κ parameter is that one has to know the flow structure of the entire evolution a priori in order to select the proper constant κ parameter. Contrary to the considered low speed flow test cases, our previous investigations [4,30,3,31,5,32,1,6] for various complex high speed shock-turbulence interaction flows, employing the local κ l j+1/2 would provide an automatic selection of the amount of numerical dissipation needed at each flow location, thus, leading to a more accurate DNS and LES simulation with less tuning of parameters. The local flow sensors for high order nonlinear filter schemes are particularly important for flows with a time varying random forcing and a wide range of flow speed regimes during time-accurate evolution.…”
Section: Discussionmentioning
confidence: 91%
“…It is noted that the nonlinear filter step described above should not be confused with the LES filtering operation. For previous studies on the performance of this filter scheme in DNS and LES simulations, see [4,30,3,31,5,32,1,6]. This scheme has been validated for DNS of a 3D channel flow, 2D temporal and spatial evolving mixing layers, Richtmyer-Meshkov instability, 3D Taylor-Green vortex, 3D isotropic turbulence with shocklets, extreme condition flows, and a 3D supersonic LES of temporal evolving mixing layers comparing with experimental data.…”
Section: Local Flow Sensor For a Wide Spectrum Of Flow Speed And Shocmentioning
confidence: 91%
“…For a description of the algorithms and their performance, including results of a detailed LES computation of temporal-evolving mixing layers, see e.g. [1][2][3][4][5][6]8 Furthermore, AD-PDIS3D contains three choices of solvers: standard compressible flow, compressible non-ideal MHD, 2 and chemical nonequilibrium hypersonic flows. 6 For a more detailed description see.…”
Section: Motivation Objectives and Validation Processmentioning
confidence: 99%