On determining characteristic length scales in pressure gradient turbulent boundary layers

By Ricardo Vinuesa, Ramis Örlü, Philipp Schlatter. 2016

133 citations recorded by the source corpus.

In the present work we analyze three methods used to determine the edge of pressure gradient turbulent boundary layers: two based on composite profiles, the one by Chauhan et al. (Fluid Dyn. Res. 41:021401, 2009) and the one by Nickels (J. Fluid Mech. 521:217–239, 2004), and the other one based on the condition of vanishing mean velocity gradient. Additionally, a new method is introduced based on the diagnostic plot concept by Alfredsson et al. (Phys. Fluids 23:041702, 2011). The boundary layer developing over the suction side of a NACA4412 wing profile, extracted from a direct numerical simulation at Rec = 400,000, is used as the test case. We find that all the methods produce robust results with mild or moderate pressure gradients, but stronger pressure gradients (with β larger than around 7) lead to inconsistent results in all the techniques except the diagnostic plot. This method also has the advantage of providing an objective way of defining the point where the mean streamwise velocity is 99% of the edge velocity, and shows consistent results in a wide range of pressure gradient conditions, as well as flow histories. Therefore, the technique based on the diagnostic plot is a robust method to determine the boundary layer thickness (equivalent to δ99) and edge velocity in pressure gradient turbulent boundary layers.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/dbe9a23716ae17acc2eb63aff25f6154dae121dd

How researchers see this paper

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In Aerospace Engineering

  1. Ricardo Vinuesa
  2. Philipp Schlatter
  3. Ramis Örlü
  4. Luca Brandt
  5. B. McKeon
  6. Ati S. Sharma

In Computational Mechanics

  1. Ricardo Vinuesa
  2. Philipp Schlatter
  3. Ramis Örlü
  4. A. Bobke
  5. Ivan Marusic
  6. Nicholas Hutchins
  7. Steven L. Brunton
  8. Dan S. Henningson

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