An algebraic variational multiscale-multigrid method for large-eddy simulation of turbulent variable-density flow at low Mach number

  • Authors:
  • Volker Gravemeier;Wolfgang A. Wall

  • Affiliations:
  • Emmy Noether Research Group "Computational Multiscale Methods for Turbulent Combustion", Technische Universität München, Boltzmannstr. 15, D-85748 Garching, Germany and Institute for Com ...;Institute for Computational Mechanics, Technische Universität München, Boltzmannstr. 15, D-85748 Garching, Germany

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2010

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Abstract

An algebraic variational multiscale-multigrid method is proposed for large-eddy simulation of turbulent variable-density flow at low Mach number. Scale-separating operators generated by level-transfer operators from plain aggregation algebraic multigrid methods enable the application of modeling terms to selected scale groups (here, the smaller of the resolved scales) in a purely algebraic way. Thus, for scale separation, no additional discretization besides the basic one is required, in contrast to earlier approaches based on geometric multigrid methods. The proposed method is thoroughly validated via three numerical test cases of increasing complexity: a Rayleigh-Taylor instability, turbulent channel flow with a heated and a cooled wall, and turbulent flow past a backward-facing step with heating. Results obtained with the algebraic variational multiscale-multigrid method are compared to results obtained with residual-based variational multiscale methods as well as reference results from direct numerical simulation, experiments and LES published elsewhere. Particularly, mean and various second-order velocity and temperature results obtained for turbulent channel flow with a heated and a cooled wall indicate the higher prediction quality achievable when adding a small-scale subgrid-viscosity term within the algebraic multigrid framework instead of residual-based terms accounting for the subgrid-scale part of the non-linear convective term.