Software Tools for Stochastic Simulations of Turbulence
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...
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| description | 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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| source | DTIC Technical Reports |
| subjects | algorithms Applied sciences cauchy problem computational fluid dynamics differential equations EDDIES FLUID MECHANICS euler equations fluid flow Front tracking Large eddy simulations mesh Mesh convergence navier stokes equations partial differential equations probability density functions Pure sciences random variables software tools Stochastic convergence stochastic processes stochastic simulations turbulent mixing Weak WEAK CONVERGENCE |
| title | Software Tools for Stochastic Simulations of Turbulence |
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