DocumentCode :
3705925
Title :
Tracking space-filling structures in turbulent flows
Author :
Andrea Schnorr;Jens Henrik G?bbert;Torsten W. Kuhlen;Bernd Hentschel
Author_Institution :
Virtual Reality Group, RWTH Aachen University
fYear :
2015
Firstpage :
143
Lastpage :
144
Abstract :
We present a novel approach for tracking space-filling features, i.e. a set of features which covers the entire domain. In contrast to previous work, we determine the assignment between features from successive time steps by computing a globally optimal, maximum-weight, maximal matching on a weighted, bi-partite graph. We demonstrate the method´s functionality by tracking dissipation elements (DEs), a space-filling structure definition from turbulent flow analysis. The abilitytotrack DEs over time enables researchers from fluid mechanics to extend their analysis beyond the assessment of static flow fields to time-dependent settings.
Keywords :
"Measurement","Fluids","Feature extraction","Data visualization","Three-dimensional displays","Computational geometry","High performance computing"
Publisher :
ieee
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2015 IEEE 5th Symposium on
Type :
conf
DOI :
10.1109/LDAV.2015.7348089
Filename :
7348089
Link To Document :
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