Partially-averaged Navier-Stokes method for turbulent thermal plume

被引:7
|
作者
Kumar, Rajesh [1 ]
Dewan, Anupam [1 ]
机构
[1] Indian Inst Technol Delhi, Dept Appl Mech, New Delhi 110016, India
关键词
NUMERICAL-SIMULATION; MODELS; FLOW; JETS;
D O I
10.1007/s00231-015-1527-1
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, the partially-averaged Navier-Stokes (PANS) simulation is performed for a turbulent thermal plume. The aim of the paper is to assess the PANS method for modeling buoyancy-driven flows at a reasonable computational cost. PANS is a turbulence closure model which is developed to be used as a bridging model ranging from the direct numerical simulation to the Reynolds-averaged Navier-Stokes simulation by varying the level of resolution. The PANS computations are performed for various values of the filter-width to evaluate the sensitivity of the filter-widths to the computed flow statistics. The present simulations have been carried out employing a source code buoyantPimpleFOAM based on the OpenFOAM platform. In order to capture the effect of buoyancy on turbulence, the generalized gradient diffusion hypothesis is employed to model the production of turbulence due to buoyancy. A detailed comparison of the time-averaged and turbulent statistics obtained from the PANS simulations with the experimental data and LES results reported in the literature has been presented. The present results have also been compared with the results of the unsteady Reynolds-averaged Navier-Stokes solutions. The PANS model is shown to enhance the computing capability significantly in predicting buoyancy-driven flows compared with those of URANS model. Finally, various important unsteady flow structures of turbulent thermal plume have been visualized from the instantaneous flow statistics obtained using the PANS simulations.
引用
收藏
页码:1655 / 1667
页数:13
相关论文
共 50 条
  • [41] Partially-averaged Navier-Stokes simulations of turbulent flow past a square cylinder: Comparative assessment of statistics and coherent structures at different resolutions
    Fowler, Thomas S.
    Witherden, Freddie D.
    Girimaji, Sharath S.
    PHYSICS OF FLUIDS, 2020, 32 (12)
  • [42] Stirred tank simulation using Partially-Averaged Navier-Stokes ku-Eu turbulence model
    Maji, Srimanta
    Sahu, Akshaya K.
    SN APPLIED SCIENCES, 2021, 3 (05):
  • [43] Numerical simulation of cavitation shedding flow around a hydrofoil using Partially-Averaged Navier-Stokes model
    Zhang, Desheng
    Shi, Weidong
    Pan, Dazhi
    Zhang, Guangjian
    INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, 2015, 25 (04) : 825 - 830
  • [44] Computational study of supersonic turbulent-separated flows using partially averaged Navier-stokes method
    Luo, Dahai
    Yan, Chao
    Wang, Xiaoyong
    ACTA ASTRONAUTICA, 2015, 107 : 234 - 246
  • [45] Partially averaged Navier-Stokes closure modeling for variable-density turbulent flow
    Pereira, F. S.
    Grinstein, F. F.
    Israel, D. M.
    Rauenzahn, R.
    Girimaji, S. S.
    PHYSICAL REVIEW FLUIDS, 2021, 6 (08)
  • [46] Modified partially averaged Navier-Stokes model for turbulent flow in passages with large curvature
    Ye, Weixiang
    Luo, Xianwu
    Li, Ying
    MODERN PHYSICS LETTERS B, 2020, 34 (23):
  • [47] Research on blade tip clearance cavitation and turbulent kinetic energy characteristics of axial flow pump based on the partially-averaged Navier-Stokes model
    Jia, Xiao-qi
    Zhang, Shuai-kang
    Zhu, Zu-chao
    JOURNAL OF HYDRODYNAMICS, 2024, 36 (01) : 184 - 201
  • [48] On the accuracy of partially averaged Navier-Stokes resolution estimates
    Klapwijk, M.
    Lloyd, T.
    Vaz, G.
    INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2019, 80
  • [49] Numerical study of thermal mixing phenomenon using partially averaged Navier-Stokes
    Bilal, Ashhar
    Gao, Puzhen
    NUCLEAR ENGINEERING AND DESIGN, 2023, 408
  • [50] Partially-Averaged Navier-Stokes (PANS) approach for study of fluid flow and heat transfer characteristics in Czochralski melt
    Verma, Sudeep
    Dewan, Anupam
    JOURNAL OF CRYSTAL GROWTH, 2018, 481 : 56 - 64