Tracking of large-scale structures in turbulent channel with direct numerical simulation of low Prandtl number passive scalar

被引:26
|
作者
Tiselj, Iztok [1 ]
机构
[1] Jozef Stefan Inst, SI-1000 Ljubljana, Slovenia
关键词
HEAT-TRANSFER; FLOW; DNS;
D O I
10.1063/1.4905018
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Channel flow DNS (Direct Numerical Simulation) at friction Reynolds number 180 and with passive scalars of Prandtl numbers 1 and 0.01 was performed in various computational domains. The "normal" size domain was similar to 2300 wall units long and similar to 750 wall units wide; size taken from the similar DNS of Moser et al. The "large" computational domain, which is supposed to be sufficient to describe the largest structures of the turbulent flows was 3 times longer and 3 times wider than the "normal" domain. The "very large" domain was 6 times longer and 6 times wider than the "normal" domain. All simulations were performed with the same spatial and temporal resolution. Comparison of the standard and large computational domains shows the velocity field statistics (mean velocity, root-mean-square (RMS) fluctuations, and turbulent Reynolds stresses) that are within 1%-2%. Similar agreement is observed for Pr = 1 temperature fields and can be observed also for the mean temperature profiles at Pr = 0.01. These differences can be attributed to the statistical uncertainties of the DNS. However, second-order moments, i.e., RMS temperature fluctuations of standard and large computational domains at Pr = 0.01 show significant differences of up to 20%. Stronger temperature fluctuations in the "large" and "very large" domains confirm the existence of the large-scale structures. Their influence is more or less invisible in the main velocity field statistics or in the statistics of the temperature fields at Prandtl numbers around 1. However, these structures play visible role in the temperature fluctuations at low Prandtl number, where high temperature diffusivity effectively smears the small-scale structures in the thermal field and enhances the relative contribution of large-scales. These large thermal structures represent some kind of an echo of the large scale velocity structures: the highest temperature-velocity correlations are not observed between the instantaneous temperatures and instantaneous streamwise velocities, but between the instantaneous temperatures and velocities averaged over certain time interval. (C) 2014 AIP Publishing LLC.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Direct numerical simulation of turbulent heat transfer in pipe flows: Effect of Prandtl number
    Redjem-Saad, L.
    Ould-Rouiss, M.
    Lauriat, G.
    INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2007, 28 (05) : 847 - 861
  • [22] A Direct Numerical Simulation Study on the very Large-Scale Motion in Turbulent Boundary Layer
    Lee, Jae Hwa
    Sung, Hyung Jin
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2009, 33 (12) : 977 - 982
  • [23] Passive scalar diffusion in three-dimensional turbulent rectangular free jets with numerical evaluation of turbulent Prandtl/Schmidt number
    Di Venuta, Ivan
    Boghi, Andrea
    Angelino, Matteo
    Gori, Fabio
    INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2018, 95 : 106 - 115
  • [24] Dynamics of the large-scale circulation in high-Prandtl-number turbulent thermal convection
    Xie, Yi-Chao
    Wei, Ping
    Xia, Ke-Qing
    JOURNAL OF FLUID MECHANICS, 2013, 717 : 322 - 346
  • [25] Scalar mixing and large-scale coherent structures in a turbulent swirling jet
    Froehlich, J.
    Garcia-Villalba, M.
    Rodi, W.
    FLOW TURBULENCE AND COMBUSTION, 2008, 80 (01) : 47 - 59
  • [26] Scalar Mixing and Large-Scale Coherent Structures in a Turbulent Swirling Jet
    J. Fröhlich
    M. García-Villalba
    W. Rodi
    Flow, Turbulence and Combustion, 2008, 80 : 47 - 59
  • [27] Investigation of the Wall Scalar Fluctuations Effect on Passive Scalar Turbulent Fields at Several Prandtl Numbers by Means of Direct Numerical Simulations
    Chaouat, Bruno
    Peyret, Christophe
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 2019, 141 (12):
  • [28] Nonlinear optimal large-scale structures in turbulent channel flow
    Farano, M.
    Cherubini, S.
    De Palma, P.
    Robinet, J. -C.
    EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2018, 72 : 74 - 86
  • [29] Analysis of turbulent flow and thermal structures in low-Prandtl number buoyant flows using direct numerical simulations
    Bhushan, S.
    Elmellouki, M.
    Walters, D. K.
    Hassan, Y. A.
    Merzari, E.
    Obabko, A.
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2022, 189
  • [30] Model simulations of large-scale structures in turbulent channel flow
    Tsujimoto, Koichi
    Miyake, Yutaka
    Okuda, Mitsugu
    Nippon Kikai Gakkai Ronbunshu, B Hen/Transactions of the Japan Society of Mechanical Engineers, Part B, 2003, 69 (678): : 377 - 384