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)![]() ![]() ![]() | |
Source Publication | PHYSICS OF FLUIDS
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2018-10-01 | |
Volume | 30Issue:10Pages:Ar-105110 |
ISSN | 1070-6631 |
Abstract | A 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. |
DOI | 10.1063/1.5049731 |
URL | 查看原文 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:000448975800043 |
WOS Keyword | DIRECT NUMERICAL-SIMULATION ; 2-PARTICLE DISPERSION ; DIFFERENTIAL FILTERS ; STOCHASTIC-MODELS ; PARTICLES ; DIFFUSION ; MOTION ; STATISTICS ; PREDICTION |
WOS Research Area | Mechanics ; Physics, Fluids & Plasmas |
WOS Subject | Mechanics ; Physics |
Funding Organization | Science 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 |
Ranking | 1 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/78150 |
Collection | 非线性力学国家重点实验室 |
Affiliation | 1.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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