Flow visualization and field line advection in computational fluid dynamics: Application to magnetic fields and turbulent flows

Accurately interpreting three dimensional (3D) vector quantities output as solutions to high-resolution computational fluid dynamics (CFD) simulations can be an arduous, time-consuming task. Scientific visualization of these fields can be a powerful aid in their understanding. However, numerous pitfalls present themselves ranging from computational performance to the challenge of generating insightful visual representations of the data. In this paper, we briefly survey current practices for visualizing 3D vector fields, placing particular emphasis on those data arising from CFD simulations of turbulence. We describe the capabilities of a vector field visualization system that we have implemented as part of an open source visual data analysis environment. We also describe a novel algorithm we have developed for illustrating the advection of one vector field by a second flow field. We demonstrate these techniques in the exploration of two sets of runs. The first comprises an ideal and a resistive magnetohydrodynamic (MHD) simulation. This set is used to test the validity of the advection scheme. The second corresponds to a simulation of MHD turbulence. We show the formation of structures in the flows, the evolution of magnetic field lines, and how field line advection can be used effectively to track structures therein.

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Copyright 2008 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft.


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Author Mininni, Pablo
Lee, Ed
Norton, Alan
Clyne, John
Publisher UCAR/NCAR - Library
Publication Date 2008-12-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:03:20.188208
Metadata Record Identifier edu.ucar.opensky::articles:17012
Metadata Language eng; USA
Suggested Citation Mininni, Pablo, Lee, Ed, Norton, Alan, Clyne, John. (2008). Flow visualization and field line advection in computational fluid dynamics: Application to magnetic fields and turbulent flows. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7cn7552. Accessed 10 February 2025.

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