Analysis and modelling of subgrid-scale motions in near-wall turbulence

被引:56
|
作者
Hartel, C [1 ]
Kleiser, L [1 ]
机构
[1] DLR, Inst Fluid Mech, D-37073 Gottingen, Germany
关键词
D O I
10.1017/S0022112097007994
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A numerical study of turbulent channel flow at various Reynolds numbers (Re-tau = 115, 210, 300) is conducted in order to examine the requirements for a reliable subgrid modelling in large-eddy simulations of wall-bounded flows. Using direct numerical simulation data, the interactions between large and small scales in the near-wall flow are analysed in detail which sheds light on the origin of the inverse cascade of turbulent kinetic energy observed in the buffer layer. It is shown that the correlation of the wall-normal subgrid stress and the wall-normal derivative of the streamwise grid-scale velocity plays the key role in the occurrence of the inverse cascade. A brief a priori test of several subgrid models shows that currently applied models are not capable of accounting properly for the complex interactions in the near-wall flow. A series of large-eddy simulations gives evidence that this deficiency may cause significant errors in important global quantities of the flow such as the mean wall shear stress. A study of the eddy-viscosity ansatz is conducted which reveals that the characteristic scales usually employed for the definition of the eddy viscosity are inappropriate in the vicinity of a wall. Therefore, a novel definition of the eddy viscosity is derived from the analysis of the near-wall energy budget. This new definition, which employs the wall-normal subgrid stress as a characteristic scale, is more consistent with the near-wall physics. No significant Reynolds-number effects are encountered in the present analysis which suggests that the findings may be generalized to flows at higher Reynolds numbers.
引用
收藏
页码:327 / 352
页数:26
相关论文
共 50 条
  • [21] Subgrid-scale modelling in large-eddy simulations of compressible magnetohydrodynamic turbulence
    Chernyshov, AA
    Karelsky, KV
    Petrosyan, AS
    RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING, 2006, 21 (01) : 1 - 20
  • [22] A Lagrangian dynamic subgrid-scale model of turbulence
    Meneveau, C
    Lund, TS
    Cabot, WH
    JOURNAL OF FLUID MECHANICS, 1996, 319 : 353 - 385
  • [23] SUBGRID-SCALE ALGEBRAIC STRESS MODEL OF TURBULENCE
    SHIMOMURA, Y
    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 1994, 63 (01) : 5 - 9
  • [24] The large-scale dynamics of near-wall turbulence
    Jiménez, J
    Del Alamo, JC
    Flores, O
    JOURNAL OF FLUID MECHANICS, 2004, 505 : 179 - 199
  • [25] Large-scale influences in near-wall turbulence
    Hutchins, Nicholas
    Marusic, Ivan
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2007, 365 (1852): : 647 - 664
  • [26] A Lagrangian dynamic subgrid-scale model of turbulence
    Meneveau, C.
    Lund, T.S.
    Cabot, W.H.
    Journal of Fluid Mechanics, 1996, 319 : 353 - 385
  • [27] Performance of subgrid-scale models in anisotropic turbulence
    Juneja, A
    Brasseur, JG
    Wyngaard, JC
    12TH SYMPOSIUM ON BOUNDARY LAYERS AND TURBULENCE, 1997, : 233 - 234
  • [28] Analysis of subgrid-scale torque for large-eddy simulation of turbulence
    Marshall, JS
    Beninati, AL
    AIAA JOURNAL, 2003, 41 (10) : 1875 - 1881
  • [29] A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
    Suraj Pawar
    Omer San
    Adil Rasheed
    Prakash Vedula
    Theoretical and Computational Fluid Dynamics, 2020, 34 : 429 - 455
  • [30] Multifractal scale-similarity in subgrid-scale turbulence modeling
    Burton, GC
    Dahm, WJA
    Dowling, DR
    Powell, KG
    ADVANCES IN TURBULENCE VIII, 2000, : 523 - 526