Contribution to a conference proceedings/Contribution to a book FZJ-2017-00184

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Tracking space-filling structures in turbulent flows

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2015
IEEE

[Proceedings] - IEEE, 2015. - ISBN 978-1-4673-8517-6
2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV), ChicagoChicago, IL, 25 Oct 2015 - 26 Oct 20152015-10-252015-10-26
IEEE 143-144 () [10.1109/LDAV.2015.7348089]

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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.


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
  2. JARA - HPC (JARA-HPC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2016
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 Record created 2017-01-09, last modified 2021-01-29


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