Random forcing of three-dimensional homogeneous turbulence

被引:169
作者
Alvelius, K [1 ]
机构
[1] KTH, Dept Mech, SE-10044 Stockholm, Sweden
关键词
D O I
10.1063/1.870050
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A method of using a fully random force to numerically generate statistically stationary homogeneous turbulence has been developed. The forcing is implemented in spectral space where it is concentrated at small wave numbers. Hence, the power input is introduced into the flow at large scales. The randomness in time makes the force neutral, in the sense that it does not directly correlate with any of the time scales of the turbulent flow, and it also makes the power input determined solely by the force-force correlation. This means that it is possible to generate different desirable turbulence states, such as axisymmetric turbulence, where the degree of anisotropy of the forcing can be chosen a priori through forcing parameters. In particular, the total amount of power input from the forcing can be set to balance a desired dissipation at a statistically stationary state. In order to only get a contribution from the force-force correlation to the input power in the discrete equations, the force is determined so that the velocity-force correlation vanishes for each Fourier mode. In direct numerical simulations (DNS) of forced isotropic turbulence, universality of the small scales is shown for the kinetic energy spectrum at different Reynolds numbers and the velocity derivative skewness obtains the value -0.5. The forcing method is used in a large eddy simulation (LES), where it is compared with a simulation of decaying turbulence to show the importance of having a statistically stationary flow if well known inertial laws are to be recovered at moderate Reynolds numbers. (C) 1999 American Institute of Physics. [S1070-6631(99)01007-7].
引用
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页码:1880 / 1889
页数:10
相关论文
共 19 条
[1]  
[Anonymous], P ROYAL SOC LONDON A, DOI [10.1098/rspa.1991.0075., DOI 10.1098/RSPA.1991.0075]
[2]  
[Anonymous], 1984, TURBULENT SHEAR FLOW
[3]   Comparison between the sum of second-order velocity structure functions and the second-order temperature structure function [J].
Antonia, RA ;
Zhu, Y ;
Anselmet, F ;
OuldRouis, M .
PHYSICS OF FLUIDS, 1996, 8 (11) :3105-3111
[4]   ON THE REPRESENTATION OF BACKSCATTER IN DYNAMIC LOCALIZATION MODELS [J].
CARATI, D ;
GHOSAL, S ;
MOIN, P .
PHYSICS OF FLUIDS, 1995, 7 (03) :606-616
[5]   SIMULATION OF THE KOLMOGOROV INERTIAL SUBRANGE USING AN IMPROVED SUBGRID MODEL [J].
CHASNOV, JR .
PHYSICS OF FLUIDS A-FLUID DYNAMICS, 1991, 3 (01) :188-200
[6]   ON STATISTICAL CORRELATIONS BETWEEN VELOCITY INCREMENTS AND LOCALLY AVERAGED DISSIPATION IN HOMOGENEOUS TURBULENCE [J].
CHEN, SY ;
DOOLEN, GD ;
KRAICHNAN, RH ;
SHE, ZS .
PHYSICS OF FLUIDS A-FLUID DYNAMICS, 1993, 5 (02) :458-463
[7]   AN EXAMINATION OF FORCING IN DIRECT NUMERICAL SIMULATIONS OF TURBULENCE [J].
ESWARAN, V ;
POPE, SB .
COMPUTERS & FLUIDS, 1988, 16 (03) :257-278
[8]   Comparative study of subgrid scale models in homogeneous isotropic turbulence [J].
Fureby, C ;
Tabor, G ;
Weller, HG ;
Gosman, AD .
PHYSICS OF FLUIDS, 1997, 9 (05) :1416-1429
[9]   A DYNAMIC LOCALIZATION MODEL FOR LARGE-EDDY SIMULATION OF TURBULENT FLOWS [J].
GHOSAL, S ;
LUND, TS ;
MOIN, P ;
AKSELVOLL, K .
JOURNAL OF FLUID MECHANICS, 1995, 286 :229-255