Direct Numerical Simulation of a Temporally Evolving Incompressible Plane Wake: Effect of Initial Conditions on Evolution and Topology.

Abstract

Direct numerical simulations have been used to examine the effect of the initial disturbance field on the development of three dimensionality and the transition to turbulence in the incompressible plane wake. Initial disturbances fields examined were combinations of two dimensional waves and symmetric pairs of 60 oblique waves at the fundamental, subharmonic, and subharmonic wavelengths. Results indicate that the presence of 60 disturbances at the subharmonic streamwise wavelength results in the development of strong coherent three dimensional structures. The resulting strong three dimensional rate of strain triggers the growth of intense fine scale motions. Wakes initiated with 60 deg disturbances at the fundamental streamwise wavelength develop weak coherent streamwise structures, and do not develop significant fine scale motions, even at high Reynolds numbers. The wakes which develop strong three-dimensional structures exhibit growth rates on par with experimentally observed turbulent plane wakes. Wakes which develop only weak three dimensional structures exhibit significantly lower late time growth rates.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA307878

Entities

People

  • Rolf Sondergaard

Organizations

  • Wright Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Convection
  • Differential Equations
  • Flow Visualization
  • Fluid Dynamics
  • Fluid Mechanics
  • Geometry
  • Navier Stokes Equations
  • Physics Laboratories
  • Reynolds Number
  • Three Dimensional
  • Turbulent Flow
  • Turbulent Mixing
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Combustion and Flow Dynamics.
  • Computational Modeling and Simulation