Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence

Zhang, Chao1,2,3; Yuan, Zelong1,2,3; Duan, Lishu1,2,3; Wang, Yunpeng1,2,3; Wang, Jianchun1,2,3

2022-12-01

10.1063/5.0128776

PHYSICS OF FLUIDS   Impact Factor & Quartile

1070-6631

1089-7666

We study large-eddy simulation of compressible decaying isotropic turbulence of dense gas at initial turbulent Mach numbers of 0.4 and 0.8. The unclosed subgrid-scale (SGS) terms are approximated by the dynamic iterative approximate deconvolution (DIAD) model proposed by Yuan et al. [ "Dynamic iterative approximate deconvolution models for large-eddy simulation of turbulence, " Phys. Fluids 33, 085125 (2021)], and compared with the dynamic Smagorinsky (DSM) model. In an a priori test, the correlation coefficients of the DIAD model for most SGS terms are larger than 0.98, and the relative errors are smaller than 0.2, except for the SGS internal energy flux. In an a posteriori test, the DIAD model can well predict the probability density functions (PDFs) of SGS terms involving thermodynamic variables. Moreover, the DIAD model shows greater advantages than the DSM model in predicting various statistics and structures of compressible turbulence of dense gas, including spectra of velocity and thermodynamic variables, PDFs of SGS kinetic energy flux, deviatoric SGS stress and normalized strain-rate tensor, and the instantaneous spatial structures of vorticity. Published under an exclusive license by AIP Publishing.

SCI

English

First ; Corresponding

National Natural Science Foundation of China["91952104","92052301","12172161","12161141017","91752201"] ; National Numerical Wind tunnel Project[NNW2019ZT1-A04] ; Shenzhen Science and Technology Program[KQTD20180411143441009] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0103] ; Department of Science and Technology of Guangdong Province[2020B1212030001]

Mechanics ; Physics

Mechanics ; Physics, Fluids & Plasmas

WOS:000893034800018

AIP Publishing

PHYSICS

Web of Science

1.Southern Univ Sci & Technol, Natl Ctr Appl Math Shenzhen NCAMS, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Shenzhen 518055, Peoples R China
3.Southern Univ Sci & Technol, Guangdong Hong Kong Macao Joint Lab Data Driven Fl, Shenzhen 518055, Peoples R China

Zhang, Chao,Yuan, Zelong,Duan, Lishu,et al. Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence[J]. PHYSICS OF FLUIDS,2022,34(12).

Zhang, Chao,Yuan, Zelong,Duan, Lishu,Wang, Yunpeng,&Wang, Jianchun.(2022).Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence.PHYSICS OF FLUIDS,34(12).

Zhang, Chao,et al."Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence".PHYSICS OF FLUIDS 34.12(2022).