 Technical Report |
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S. S. D. Venkata, D. S. Thompson, and B. K. Soni,
"Automated Detection
of Features in CFD Datsets," Technical Report MSSU-COE-ERC-01-13,
Engineering Research Center, Mississippi State University, December
2001.
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Abstract:
Typically, computational fluid dynamic (CFD) solutions produce large
amounts of data that can be used for analysis. The enormous amount of
data produces new challenges for effective exploration. The prototype
system EVITA, based on ranked access of application-specific regions
of interest, provides an effective tool for this purpose. Automated
feature detection techniques are needed to identify the features in
the dataset. Automated techniques for detecting shocks, expansion
regions, vortices, separation lines, and attachment lines have already
been developed. A new approach for identifying the regions of flow
separation is proposed. This technique assumes that each pair of
separation and attachment lines has a vortex core associated with
it. It is based on the velocity field in the plane perpendicular to
the vortex core. The present work describes these methods along with
the results obtained.
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Text:
Last update:
Yonghui Wang / wyh@erc.msstate.edu
