Software Tools for Stochastic Simulations of Turbulence

Abstract

We present two software tools useful for the analysis of mesh based physics application data, and specifically turbulent mixing simulations. Each has a broader, but separate scope, as we describe. Both features play a key role as we push computational science to its limits and thus the present work contributes to the frontier of research. The first tool is Wstar, a weak* comparison tool, which addresses the stochastic nature of turbulent flow. The goal is to compare under resolved turbulent data in convergence, parameter dependence, or validation studies. This is achieved by separating space-time data from state data (e.g. density, pressure, momentum, etc.) through coarsening and sampling.

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Document Details

Document Type
Technical Report
Publication Date
Aug 28, 2015
Accession Number
AD1024473

Entities

People

  • Ryan Kaufman

Tags

DTIC Thesaurus Topics

  • Chemical Reactions
  • Computational Fluid Dynamics
  • Computational Science
  • Differential Equations
  • Euler Equations
  • Fluid Dynamics
  • Fluid Flow
  • Geometry
  • Large Eddy Simulation
  • Navier Stokes Equations
  • Probability Density Functions
  • Turbulent Mixing
  • Weather Forecasting

Fields of Study

  • Physics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Software Engineering.
  • Theoretical Analysis.

Technology Areas

  • Space