Plotting

 

 

The Taylor-Green vortex is one of the simplest systems in which to study the generation of small scales and turbulence by 3D vortex stretching:
- Evolution from a simple initial vortex flow provides a dynamical model of decaying turbulence.
- Used as a test of our continuous adaptive mesh refinement code RAGE.
Here we wish to understand the dynamical onset and eventual decay of the turbulence by using EnSight to display many diverse quantities simultaneously:
- Use EnSight to extract a brick of floats containing the 3 velocity components.
- Perform 3D FFT’s on the 3 velocity components with a Fortran routine.
- Take angular averages over direction in k space to form the power spectrum of the kinetic energy vs |k|.
- Convert the power spectrum vs |k| on every timestep to a 1D part. 
- Animate everything together on the same image to study the dynamical evolution from the initial coherent vortex flow to fully turbulent Kolmogorov flow that decays away in late time. 
Simulation courtesy of F. Grinstein, Los Alamos National Laboratory

The Vetter-Sturtevant shocktube experiments: - Two gases, air and SF6, initially separated by a membrane inside a tube, are mixed by the passage of a strong shock through the interface between them. - Used as a test of our continuous adaptive mesh refinement code RAGE. How can you compare different 3D simulations of these experiments? Use EnSight and Python to perform a dimensional reduction of the 3D simulation data: -Use Python script with EnSight to place an integration plane at positions along the tube axis oriented perpendicular to the axis. - At each position EnSight computes the mix parameter by integration over the plane and returns the result to Python. - In this way a 1D plot of the mix parameter vs position is generated at each time. - 3D mix is reduced to a plot of the1D mix parameter vs position that can be compared between simulations over time. - EnSight is used to integrate the mix parameter along the axis and plot the result over time. - Animate everything together on the same image to study the quantitative evolution of the shock induced mixing. Simulation courtesy of F. Grinstein, LANL

 

Example of fast Fourier transform (FFT) analysis of a time dependent variable using EnSight

 

Example graph of Coefficient of Pressure (Cp) for the rear wing simulation of an example rally car external aerodynamic model. Model constructed by aerosim, run with CFD++ by Metacomp, and visualized with EnSight from CEI

Example of graph generated in EnSight. Integration of graph and geometry within a single viewport allows for a unique and powerful view into the results of the simulation.

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