Statistical Prediction of Laminar-turbulent Transition

Abstract

Stochastic versions of stability equations are considered as a means to develop integrated models of transition and turbulence. Two types of stochastic models are considered: probability density function evolution equations for stability mode amplitudes, and Langevin models based on representative stability theories including the resonant triad model and the parabolized stability equations. The first type of model can describe the effect of initial phase differences among disturbance modes on transition location. The second type of model describes the growth of random disturbances as transition proceeds and provides a natural framework in which to couple transition and turbulence models. Coupling of parabolized stability equations with either subgrid stress models or with conventional turbulence models is also discussed as an alternative route to achieve the goal of integrated turbulence and transition modeling.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2000
Accession Number
ADA386141

Entities

People

  • Meelan M. Choudhari
  • Robert Rubinstein

Tags

Communities of Interest

  • Counter IED
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundary Layer
  • Computational Fluid Dynamics
  • Computational Science
  • Databases
  • Differential Equations
  • Equations Of Motion
  • Flow Fields
  • Fluid Dynamics
  • Fluid Flow
  • Fluid Mechanics
  • Large Eddy Simulation
  • Mechanical Properties
  • Partial Differential Equations
  • Probability Density Functions
  • Reynolds Number
  • Turbulent Flow
  • Two Dimensional

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Fluid Dynamics (CFD)
  • Fluid Mechanics and Fluid Dynamics.