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A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method
Zhou ZD(周志登); Wang SZ(王士召); Jin GD(晋国栋)
Source PublicationPHYSICS OF FLUIDS
2018-10-01
Volume30Issue:10Pages:Ar-105110
ISSN1070-6631
AbstractA kinematic simulation with an approximate deconvolution (KSAD) hybrid model is proposed to predict the Lagrangian relative dispersion of fluid particles in a large eddy simulation (LES) of isotropic turbulent flows. In the model, a physical connection between the resolved and subgrid scales is established through the energy flux rate at the filter width scale. Due to the lack of subgrid-scale (SGS) turbulent structures and SGS model errors, the LES cannot accurately predict the two-and multi-point Lagrangian statistics of the fluid particles. To improve the predictive capability of the LES, we use an approximate deconvolution model to improve the resolved scales near the filter width and a kinematic simulation to recover the missing velocity fluctuations beneath the subgrid scales. To validate the proposed hybrid model, we compare the Lagrangian statistics of two-and four-particle dispersion with the corresponding results from the direct numerical simulation and the conventional LES. It is found that a significant improvement in the prediction of the Lagrangian statistics of fluid particles is achieved through the KSAD hybrid model. Furthermore, a parametric study regarding the wavenumbers and orientation wavevectors is conducted to reduce the computational cost. Good results can be obtained using a small number of wavenumber modes and orientation wavevectors. Thus, we can improve the prediction of the Lagrangian dispersion of fluid particles in the LES by applying the KSAD hybrid model at an acceptable computational cost. Published by AIP Publishing.
DOI10.1063/1.5049731
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Indexed BySCI ; EI
Language英语
WOS IDWOS:000448975800043
WOS KeywordDIRECT NUMERICAL-SIMULATION ; 2-PARTICLE DISPERSION ; DIFFERENTIAL FILTERS ; STOCHASTIC-MODELS ; PARTICLES ; DIFFUSION ; MOTION ; STATISTICS ; PREDICTION
WOS Research AreaMechanics ; Physics, Fluids & Plasmas
WOS SubjectMechanics ; Physics
Funding OrganizationScience Challenge Program [TZ2016001] ; National Natural Science Foundation of China [11472277, 11572331, 11772337] ; Strategic Priority Research Program, CAS [XDB22040104] ; Key Research Program of Frontier Sciences, CAS [QYZDJ-SSW-SYS002]
Classification一类/力学重要期刊
Ranking1
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/78150
Collection非线性力学国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Zhou ZD,Wang SZ,Jin GD. A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method[J]. PHYSICS OF FLUIDS,2018,30(10):Ar-105110.
APA 周志登,王士召,&晋国栋.(2018).A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method.PHYSICS OF FLUIDS,30(10),Ar-105110.
MLA 周志登,et al."A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method".PHYSICS OF FLUIDS 30.10(2018):Ar-105110.
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