中文版 | English
Title

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

Author
Corresponding AuthorWang, Jianchun
Publication Years
2022-12-01
DOI
Source Title
ISSN
1070-6631
EISSN
1089-7666
Volume34Issue:12
Abstract
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.
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
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]
WOS Research Area
Mechanics ; Physics
WOS Subject
Mechanics ; Physics, Fluids & Plasmas
WOS Accession No
WOS:000893034800018
Publisher
ESI Research Field
PHYSICS
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:1
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/417329
DepartmentDepartment of Mechanics and Aerospace Engineering
Affiliation
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
First Author AffilicationSouthern University of Science and Technology;  Department of Mechanics and Aerospace Engineering;  
Corresponding Author AffilicationSouthern University of Science and Technology;  Department of Mechanics and Aerospace Engineering;  
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
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).
APA
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).
MLA
Zhang, Chao,et al."Dynamic iterative approximate deconvolution model for large-eddy simulation of dense gas compressible turbulence".PHYSICS OF FLUIDS 34.12(2022).
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