Turbulent boundary layers in long computational domains

ORAL

Abstract

A new series of numerical simulations of spatially evolving turbulent boundary layers is discussed. The very long computational domain starts at a low $Re_\theta=180$, where laminar-turbulent transition is initiated, reaching up to the (computationally very) high $Re_\theta=8500$. In the domain, the boundary layer develops naturally from the tripping location to the higher Reynolds numbers without any re-injection or recycling procedures. In consequence, this computational setup allows us to study, e.g., the mean flow development and the scaling behavior of the fluctuating energy free from pseudo-periodic effects. However, such domains require a large number of grid points; in the present case up to 10 billion for running well-resolved large-eddy simulation. The present results show excellent agreement with wind-tunnel experiments at similar $Re$ and previous (lower-$Re$) simulations (both direct and large- eddy simulations). The mean velocity profiles closely follow the correlation proposed by Monkewitz et al. (2007), just about reaching the plateau in the log-law diagnostic function. In a second part, three-dimensional visualizations of the evolving turbulent boundary layer are discussed with special focus on the persistence of transitional flow structures towards higher Reynolds numbers, having a highly unordered appearance.

Authors

  • Philipp Schlatter

    Linne Flow Centre and Swedish e-Science Research Centre, KTH Mechanics, SE-100 44 Stockholm, Sweden, FLOW, KTH Mechanics, Sweden, KTH Stockholm, KTH Mechanics, Linne FLOW Centre, KTH Mechanics, Royal Institute of Technology, Stockholm, SWEDEN

  • Qiang Li

    KTH Mechanics

  • Ramis Oerlue

    KTH Mechanics, Linne FLOW Centre, KTH Mechanics, Royal Institute of Technology, Stockholm, SWEDEN

  • Geert Brethouwer

    FLOW, KTH Mechanics, Sweden, KTH Mechanics

  • Arne V. Johansson

    FLOW, KTH Mechanics, Sweden, KTH Mechanics

  • P. Henrik Alfredsson

    CCGEx, KTH Mechanics, Royal Institute of Technology, Stockholm, Sweden, KTH Mechanics, Linne FLOW Centre, KTH Mechanics, Royal Institute of Technology, Stockholm, Sweden

  • Dan S. Henningson

    Linne Flow Centre and Swedish e-Science Research Centre, KTH Mechanics, SE-100 44 Stockholm, Sweden, FLOW, KTH Mechanics, Sweden, KTH Stockholm, KTH Royal Institute of Technology, KTH Mechanics