Accession Number : AD1024473

Title :   Software Tools for Stochastic Simulations of Turbulence

Descriptive Note : Technical Report

Corporate Author : Research Foundation of SUNY at Stony Brook Stony Brook United States

Personal Author(s) : Kaufman,Ryan

Full Text :

Report Date : 28 Aug 2015

Pagination or Media Count : 91

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.

Descriptors :   stochastic processes , computational fluid dynamics , turbulent mixing , fluid flow , differential equations , euler equations , navier stokes equations , partial differential equations , probability density functions , random variables , algorithms , cauchy problem , software tools , WEAK CONVERGENCE , EDDIES FLUID MECHANICS , mesh

Distribution Statement : APPROVED FOR PUBLIC RELEASE