• 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