Quantitative analysis on implicit large eddy simulation

Cao，Guiyu1,2; Zhao，Wenjin3; Chen，Shiyi1,2

2022-10-01

10.1063/5.0113291

PHYSICS OF FLUIDS   Impact Factor & Quartile

1070-6631

1089-7666

Current research conducts the quantitative comparisons between implicit large eddy simulation (iLES) and explicit eddy-viscosity large eddy simulation (eLES). iLES and eLES in a compressible Taylor-Green vortex problem are implemented with a fourth-order finite-volume gas kinetic scheme. Compared with the key statistical quantities of direct numerical simulation, iLES outweighs eLES on the exactly same unresolved grids. With DNS solution, a priori analysis of compressible filtered subgrid-scale (SGS) turbulent kinetic energy ρ ¯ K sgs f is performed. Forward and backward filtered SGS turbulent kinetic energy transfer coexists. The ensemble turbulent kinetic energy Ek is on the order of o (10 4) to o (10 2) of ensemble filtered SGS turbulent kinetic energy K sgs f. The ensemble dominant physical dissipation rate ϵ 1 is approximately 20 times larger than the ensemble filtered SGS dissipation rate - τ i j f S i j f. Then, for iLES and eLES, the total dissipation rate is decomposed into the resolved physical dissipation rate ϵ phy, modeling SGS dissipation rate ϵ sgs mod, and numerical SGS dissipation rate ϵ sgs num. Quantitative comparisons on the modeling SGS dissipation rate and numerical SGS dissipation rate in iLES and eLES are evaluated. The numerical dissipation in iLES can be treated as the built-in SGS dissipation, which accounts for the reasonable performance of iLES. While the explicit modeling SGS dissipation in eLES pollutes the resolved turbulent structures in such low-Reynolds number turbulence. The next generation of large eddy simulation on unresolved grids must take into account both the built-in numerical SGS dissipation and its competition explicit modeling SGS dissipation.

SCI

English

First ; Corresponding

Department of Science and Technology of Guangdong Province[2020B1212030001]

Mechanics ; Physics

Mechanics ; Physics, Fluids & Plasmas

WOS:000932864200017

AIP Publishing

PHYSICS

2-s2.0-85139839809

Scopus

1.Academy for Advanced Interdisciplinary Studies,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
2.Guangdong-Hong Kong-Macao Jt. Lab. for Data-Driven Fluid Mechanics and Engineering Applications,Southern University of Science and Technology,Shenzhen,Guangdong,518055,China
3.Department of Mechanical and Aerospace Engineering,Hong Kong University of Science and Technology,Kowloon,Clear Water Bay,Hong Kong

Cao，Guiyu,Zhao，Wenjin,Chen，Shiyi. Quantitative analysis on implicit large eddy simulation[J]. PHYSICS OF FLUIDS,2022,34(10).

Cao，Guiyu,Zhao，Wenjin,&Chen，Shiyi.(2022).Quantitative analysis on implicit large eddy simulation.PHYSICS OF FLUIDS,34(10).

Cao，Guiyu,et al."Quantitative analysis on implicit large eddy simulation".PHYSICS OF FLUIDS 34.10(2022).