A low dissipation numerical scheme for Implicit Large Eddy Simulation

Li, Zhao; Zhang, Yufei; Chen, Haixin

doi:10.1016/j.compfluid.2015.05.016

Cited by 30 publications

(6 citation statements)

References 70 publications

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“…We use the implicit large eddy simulation methodology [5,[17][18][19][20][21][22] where weighted non-oscillatory (WENO) upwinding schemes [23][24][25] are coupled with certain Riemann solvers in an implicit large eddy simulation (or ILES) framework. The term implicit refers to the addition of numerical dissipation by the upwinding scheme rather than any explicit dissipation term [26].…”

Section: Introductionmentioning

confidence: 99%

Resolution and Energy Dissipation Characteristics of Implicit LES and Explicit Filtering Models for Compressible Turbulence

Maulik

San

2017

Fluids

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Solving two-dimensional compressible turbulence problems up to a resolution of 16, 384 2 , this paper investigates the characteristics of two promising computational approaches: (i) an implicit or numerical large eddy simulation (ILES) framework using an upwind-biased fifth-order weighted essentially non-oscillatory (WENO) reconstruction algorithm equipped with several Riemann solvers, and (ii) a central sixth-order reconstruction framework combined with various linear and nonlinear explicit low-pass spatial filtering processes. Our primary aim is to quantify the dissipative behavior, resolution characteristics, shock capturing ability and computational expenditure for each approach utilizing a systematic analysis with respect to its modeling parameters or parameterizations. The relative advantages and disadvantages of both approaches are addressed for solving a stratified Kelvin-Helmholtz instability shear layer problem as well as a canonical Riemann problem with the interaction of four shocks. The comparisons are both qualitative and quantitative, using visualizations of the spatial structure of the flow and energy spectra, respectively. We observe that the central scheme, with relaxation filtering, offers a competitive approach to ILES and is much more computationally efficient than WENO-based schemes.

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Section: Introductionmentioning

confidence: 99%

Resolution and Energy Dissipation Characteristics of Implicit LES and Explicit Filtering Models for Compressible Turbulence

Maulik

San

2017

Fluids

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“…In this paper, an implicit large eddy simulation (ILES) was conducted based on a finite volume structured code [5,27]. The three-step explicit Runge-Kutta method was used for time advancing.…”

Section: Methodsmentioning

confidence: 99%

“…The dissipation effect of turbulence was approached by the numerical dissipation of the spatial discretization scheme. The code adopted Energies 2019, 12, 3386 3 of 20 a low-dissipation scheme that combined the minimum dispersion and controllable dissipation [27] scheme for the reconstruction of the conservative variables and the simple low-dissipation advection upstream splitting method (AUSM) scheme [27] for the Riemann solver. Both the schemes of the reconstruction and Riemann solver were constructed with low dissipation features.…”

Section: Methodsmentioning

confidence: 99%

“…Both the schemes of the reconstruction and Riemann solver were constructed with low dissipation features. The computational method was validated with high resolution and good all-speed performance [27], although it was a 2nd-order scheme. The code has been tested on some basic flows [27] and has been applied to channel flow and airfoil flow with riblets [5] in our previous studies.…”

Section: Methodsmentioning

confidence: 99%

“…The computational method was validated with high resolution and good all-speed performance [27], although it was a 2nd-order scheme. The code has been tested on some basic flows [27] and has been applied to channel flow and airfoil flow with riblets [5] in our previous studies. This paper is a follow-up study to our previous investigation; consequently, a validation of the code is not presented here.…”

Section: Methodsmentioning

confidence: 99%

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Study on Riblet Drag Reduction Considering the Effect of Sweep Angle

Zhang

Yin

2019

Energies

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This study computationally evaluates the riblet drag reduction effect considering the effect of sweep angle. An implicit large eddy simulation is performed on a channel flow and an infinite swept wing. First, three different inclined angles between the riblets and the flow direction are tested in the channel flow. The results show that with increases in the inclined angle, the friction drag decreases, while the pressure drag increases approximately quadratically. The riblets with a 30° inclined angle increase the total drag of the channel flow. Then, an infinite wing with a 30° swept angle with and without riblets is studied. The riblets demonstrate satisfactory drag reduction efficiency because the cross flow over most parts of the wing is mild. The lift and friction drag follow the relation of the cosine law of a swept wing. Moreover, the cross flow and the turbulence fluctuation are suppressed by the riblets.

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Hybrid numerical method for wall-resolved large-eddy simulations of compressible wall-bounded turbulence

Liu

et al. 2022

Acta Mech. Sin.

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A low dissipation numerical scheme for Implicit Large Eddy Simulation

Cited by 30 publications

References 70 publications

Resolution and Energy Dissipation Characteristics of Implicit LES and Explicit Filtering Models for Compressible Turbulence

Resolution and Energy Dissipation Characteristics of Implicit LES and Explicit Filtering Models for Compressible Turbulence

Study on Riblet Drag Reduction Considering the Effect of Sweep Angle

Hybrid numerical method for wall-resolved large-eddy simulations of compressible wall-bounded turbulence

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