Turbulent Channel Flow: Direct Numerical Simulation-Data-Driven Modeling

被引:0
|
作者
Liakopoulos, Antonios [1 ]
Palasis, Apostolos [1 ,2 ]
机构
[1] Univ Thessaly, Dept Civil Engn, Hydromech & Environm Engn Lab, Volos 38334, Volos, Greece
[2] Univ Thessaly, Dept Phys, Condensed Matter Phys Lab, Lamia 35100, Greece
关键词
wall-bounded turbulence; turbulent boundary layers; higher order statistics; direct numerical simulation (DNS); REYNOLDS-NUMBER; FRICTION; WALL; LAW;
D O I
10.3390/fluids9030062
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Data obtained using direct numerical simulations (DNS) of pressure-driven turbulent channel flow are studied in the range 180 <= Re tau <= 10,000. Reynolds number effects on the mean velocity profile (MVP) and second order statistics are analyzed with a view of finding logarithmic behavior in the overlap region or even further from the wall, well in the boundary layer's outer region. The values of the von Karman constant for the MVPs and the Townsend-Perry constants for the streamwise and spanwise fluctuation variances are determined for the Reynolds numbers considered. A data-driven model of the MVP, proposed and validated for zero pressure-gradient flow over a flat plate, is employed for pressure-driven channel flow by appropriately adjusting Coles' strength of the wake function parameter, pi. There is excellent agreement between the analytic model predictions of MVP and the DNS-computed MVP as well as of the Reynolds shear stress profile. The skin friction coefficient Cf is calculated analytically. The agreement between the analytical model predictions and the DNS-based computed discrete values of Cf is excellent.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Turbulent supersonic channel flow: Direct numerical simulation and modeling
    Heinz, Stefan
    [J]. AIAA Journal, 2006, 44 (12): : 3040 - 3050
  • [2] Turbulent supersonic channel flow: Direct numerical simulation and modeling
    Heinz, Stefan
    [J]. AIAA JOURNAL, 2006, 44 (12) : 3040 - 3050
  • [3] Direct numerical simulation of turbulent channel flow with bubbles
    Xu, J
    Dong, SC
    Maxey, MR
    Karniadakis, GE
    [J]. CURRENT TRENDS IN SCIENTIFIC COMPUTING, 2003, 329 : 347 - 354
  • [4] Direct numerical simulation of turbulent flow in a wavy channel
    Ohta, T
    Miyake, Y
    Kajishima, T
    [J]. JSME INTERNATIONAL JOURNAL SERIES B-FLUIDS AND THERMAL ENGINEERING, 1998, 41 (02) : 447 - 453
  • [5] Direct numerical simulation of sediment entrainment in turbulent channel flow
    Ji, C.
    Munjiza, A.
    Avital, E.
    Ma, J.
    Williams, J. J. R.
    [J]. PHYSICS OF FLUIDS, 2013, 25 (05)
  • [6] Direct numerical simulation of ellipsoidal particles in turbulent channel flow
    Zhao, F.
    van Wachem, B. G. M.
    [J]. ACTA MECHANICA, 2013, 224 (10) : 2331 - 2358
  • [7] Direct Numerical Simulation of a Turbulent Channel Flow with Forchheimer Drag
    Soumak Bhattacharjee
    Evgeny Mortikov
    Andrey Debolskiy
    Evgeny Kadantsev
    Rahul Pandit
    Timo Vesala
    Ganapati Sahoo
    [J]. Boundary-Layer Meteorology, 2022, 185 : 259 - 276
  • [8] Direct Numerical Simulation of Fully Developed Turbulent Channel Flow
    Du, Dongxing
    Li, Yingge
    [J]. 2009 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION, PROCEEDINGS, 2009, : 27 - 30
  • [9] Direct numerical simulation of unstably stratified turbulent channel flow
    Iida, O
    Kasagi, N
    [J]. JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 1997, 119 (01): : 53 - 61
  • [10] Direct numerical simulation of curly fibers in turbulent channel flow
    Soltani, M
    Ahmadi, G
    [J]. AEROSOL SCIENCE AND TECHNOLOGY, 2000, 33 (05) : 392 - 418