Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls | |
Li SL(李世隆)1,2; Yang XL(杨晓雷)1,2; Lv Y(吕钰)1,2 | |
Corresponding Author | Yang, Xiaolei([email protected]) |
Source Publication | PHYSICS OF FLUIDS |
2022-08-01 | |
Volume | 34Issue:8Pages:17 |
ISSN | 1070-6631 |
Abstract | Direct numerical simulation (DNS) and large-eddy simulation (LES) resolving roughness elements are computationally expensive. LES employing the logarithmic law as the wall model, without the need to resolve the flow at the roughness element scale, provides an efficient alternative for simulating turbulent flows over rough walls. In this work, we evaluate the predictive capability of the roughness-modeled LES by comparing its predictions with those from the roughness-resolved DNS for turbulent channel flows with rough walls. A good agreement is observed for the mean streamwise velocity. The Reynolds stresses predicted by the roughness-modeled LES also reasonably agree with the roughness-resolved predictions. Differences, on the other hand, are observed for the dispersive Reynolds stresses, integral scales, and spacetime correlations. The roughness-modeled LES fails to predict the dispersive stresses as one can expect. In the outer layer, the integral length scale predicted by the roughness-modeled LES is lower than the roughness-resolved prediction, which cannot be improved by refining the grid. As for the space-time correlations, discrepancies are shown for the streamwise velocity fluctuations, with a faster decay of the correlation in the outer layer observed in the roughness-modeled predictions. Examination of the space-time correlation using the elliptic approximation model shows that the roughness-modeled LES underpredicts the convection velocity in the near wall region while overpredicting the sweeping velocity in the outer layer with no improvements observed when refining the grid. Published under an exclusive license by AIP Publishing. |
DOI | 10.1063/5.0098611 |
Indexed By | SCI ; EI |
Language | 英语 |
WOS ID | WOS:000838450600011 |
WOS Keyword | SPACE-TIME CORRELATIONS ; VISCOSITY |
WOS Research Area | Mechanics ; Physics |
WOS Subject | Mechanics ; Physics, Fluids & Plasmas |
Funding Project | National Science Foundation of China Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics[11988102] ; National Numerical Windtunnel Project[NNW2021ZT1-B34] ; National Natural Science Foundation of China[12172360] ; Strategic Priority Research Program, Chinese Academy of Sciences (CAS)[XDB22040104] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-SYS002] ; CAS Center for Excellence in Complex System Mechanics |
Funding Organization | National Science Foundation of China Basic Science Center Program for Multiscale Problems in Nonlinear Mechanics ; National Numerical Windtunnel Project ; National Natural Science Foundation of China ; Strategic Priority Research Program, Chinese Academy of Sciences (CAS) ; Key Research Program of Frontier Sciences, CAS ; CAS Center for Excellence in Complex System Mechanics |
Classification | 一类/力学重要期刊 |
Ranking | 1 |
Contributor | Yang, Xiaolei |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/89938 |
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 | Li SL,Yang XL,Lv Y. Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls[J]. PHYSICS OF FLUIDS,2022,34,8,:17.Rp_Au:Yang, Xiaolei |
APA | 李世隆,杨晓雷,&吕钰.(2022).Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls.PHYSICS OF FLUIDS,34(8),17. |
MLA | 李世隆,et al."Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls".PHYSICS OF FLUIDS 34.8(2022):17. |
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