Maximum Entropy Method for Solving the Turbulent Channel Flow Problem

被引:5
作者
Lee, T-W [1 ]
机构
[1] Arizona State Univ, SEMTE, Mech & Aerosp Engn, Tempe, AZ 85287 USA
关键词
turbulence; energy distribution; maximum entropy principle; MODEL;
D O I
10.3390/e21070675
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
There are two components in this work that allow for solutions of the turbulent channel flow problem: One is the Galilean-transformed Navier-Stokes equation which gives a theoretical expression for the Reynolds stress (u ' v '); and the second the maximum entropy principle which provides the spatial distribution of turbulent kinetic energy. The first concept transforms the momentum balance for a control volume moving at the local mean velocity, breaking the momentum exchange down to its basic components, u ' v ', u '(2), pressure and viscous forces. The Reynolds stress gradient budget confirms this alternative interpretation of the turbulence momentum balance, as validated with DNS data. The second concept of maximum entropy principle states that turbulent kinetic energy in fully-developed flows will distribute itself until the maximum entropy is attained while conforming to the physical constraints. By equating the maximum entropy state with maximum allowable (viscous) dissipation at a given Reynolds number, along with other constraints, we arrive at function forms (inner and outer) for the turbulent kinetic energy. This allows us to compute the Reynolds stress, then integrate it to obtain the velocity profiles in channel flows. The results agree well with direct numerical simulation (DNS) data at Re-tau = 400 and 1000.
引用
收藏
页数:11
相关论文
共 14 条
[1]   Turbulent energy production peak and its location from inner most log law or power law velocity in a turbulent channel/pipe and Couette flows [J].
Afzal, Noor ;
Seena, Abu ;
Bushra, A. .
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2018, 67 :178-184
[2]  
[Anonymous], 2012, ELEMENTS INFORM THEO
[3]   EVALUATION OF THE GRADIENT MODEL OF TURBULENT TRANSPORT THROUGH DIRECT LAGRANGIAN SIMULATION [J].
BERNARD, PS ;
ASHMAWEY, MF ;
HANDLER, RA .
AIAA JOURNAL, 1989, 27 (09) :1290-1292
[4]   A Web services accessible database of turbulent channel flow and its use for testing a new integral wall model for LES [J].
Graham, J. ;
Kanov, K. ;
Yang, X. I. A. ;
Lee, M. ;
Malaya, N. ;
Lalescu, C. C. ;
Burns, R. ;
Eyink, G. ;
Szalay, A. ;
Moser, R. D. ;
Meneveau, C. .
JOURNAL OF TURBULENCE, 2016, 17 (02) :181-215
[5]   Reynolds number effect on wall turbulence: toward effective feedback control [J].
Iwamoto, K ;
Suzuki, Y ;
Kasagi, N .
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2002, 23 (05) :678-689
[6]   TURBULENCE STATISTICS IN FULLY-DEVELOPED CHANNEL FLOW AT LOW REYNOLDS-NUMBER [J].
KIM, J ;
MOIN, P ;
MOSER, R .
JOURNAL OF FLUID MECHANICS, 1987, 177 :133-166
[7]   Quadratic formula for determining the drop size in pressure-atomized sprays with and without swirl [J].
Lee, T. -W ;
An, Keju .
PHYSICS OF FLUIDS, 2016, 28 (06)
[8]  
Lee T.-W., 2019, ARXIV190307991
[9]  
Lee T.-W., 2019, P ASME AJK FLUIDS C
[10]   The Reynolds stress in turbulence from a Lagrangian perspective [J].
Lee, T-W .
JOURNAL OF PHYSICS COMMUNICATIONS, 2018, 2 (05)