Turbulent flow simulation using LES with dynamical mixed one-equation subgrid models in complex geometries

Wenquan Wang, Lixiang Zhang, Yan Yan, Yakun Guo

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

An innovative computational model is presented for the large eddy simulation of multi-dimensional unsteady turbulent flow problems in complex geometries. The main objectives of this research are (i) to better understand the structure of turbulent flows in complex geometry and (ii) to investigate the 3D characteristics of such complex fluid flow. The filtered Navier–Stokes equations are used to simulate large scales of the turbulence, while the energy transfer from large scales to subgrid-scales (SGS) is simulated using dynamical mixed one-equation subgrid models. In the proposed SGS model, the SGS kinetic energy, ksgs, is used for scaling the velocity for the eddy-viscosity part of the model. The proposed SGS model contains not only some information on the small scales as described in traditional Smagorinsky model or Germano dynamical model but also includes additional scale-similarity as that in the models of Ghosal et al. (J. Comput. Phys. 1995; 118:24–37) or Davidson (11th International Symposium on Turbulent Shear Flow, Grenoble, vol. 3, 1997; 26.1–26.6). The Navier–Stokes equations and the derived ksgs equation are solved using implicit finite-volume method. The models have been applied to simulate the 3D flows over a backward-facing step and in a strong 3D skew runner blade passage of a Francis hydro turbine, respectively. Good agreement between simulated results and experimental results as well as other numerical results was obtained.
Original languageEnglish
Pages (from-to)600-621
Number of pages22
JournalInternational Journal for Numerical Methods in Fluids
Volume63
Issue number5
Early online date19 Jun 2009
DOIs
Publication statusPublished - 20 Jun 2010

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Flow simulation
Flow Simulation
Complex Geometry
Turbulent Flow
Turbulent flow
Geometry
Subgrid-scale Model
Navier-Stokes Equations
Backward-facing Step
Complex Fluids
Eddy Viscosity
Model
Large Eddy Simulation
Implicit Method
Energy Transfer
Dynamical Model
Turbine
Unsteady Flow
Shear Flow
Finite Volume Method

Keywords

  • turbulent flows
  • large eddy simulation
  • dynamic one-equation subgrid models
  • subgrid-scale kinetic energy
  • finite-volume method
  • complex geometries

Cite this

Turbulent flow simulation using LES with dynamical mixed one-equation subgrid models in complex geometries. / Wang, Wenquan; Zhang, Lixiang; Yan, Yan; Guo, Yakun.

In: International Journal for Numerical Methods in Fluids, Vol. 63, No. 5, 20.06.2010, p. 600-621.

Research output: Contribution to journalArticle

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AB - An innovative computational model is presented for the large eddy simulation of multi-dimensional unsteady turbulent flow problems in complex geometries. The main objectives of this research are (i) to better understand the structure of turbulent flows in complex geometry and (ii) to investigate the 3D characteristics of such complex fluid flow. The filtered Navier–Stokes equations are used to simulate large scales of the turbulence, while the energy transfer from large scales to subgrid-scales (SGS) is simulated using dynamical mixed one-equation subgrid models. In the proposed SGS model, the SGS kinetic energy, ksgs, is used for scaling the velocity for the eddy-viscosity part of the model. The proposed SGS model contains not only some information on the small scales as described in traditional Smagorinsky model or Germano dynamical model but also includes additional scale-similarity as that in the models of Ghosal et al. (J. Comput. Phys. 1995; 118:24–37) or Davidson (11th International Symposium on Turbulent Shear Flow, Grenoble, vol. 3, 1997; 26.1–26.6). The Navier–Stokes equations and the derived ksgs equation are solved using implicit finite-volume method. The models have been applied to simulate the 3D flows over a backward-facing step and in a strong 3D skew runner blade passage of a Francis hydro turbine, respectively. Good agreement between simulated results and experimental results as well as other numerical results was obtained.

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