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Interactive Exploration and Analysis of Pathlines in Flow Data

Alan Lez, Andreas Zajic, Kresimir Matkovic, Armin Pobitzer, Michael Mayer, Helwig Hauser

INPROCEEDINGS, Proc. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2011), 2011

Abstract

The rapid development of large-scale scientific computing nowadays allows to inherently respect the unsteady character of natural phenomena in computational flow simulation. With this new trend to more regularly consider time-dependent flow scenarios, an according new need for advanced exploration and analysis solutions emerges. In this paper, we now present three new concepts in pathline analysis which further improve the abilities of analysis: a multi-step analysis which helps to save time and space needed for computation, direct pathline brushing, and usage of pre-configured view arrangements. We have found that clever combining of these three concepts with already existing methods creates very powerful tool for pathline analysis. The coordinated multiple views (CMV) tool used supports iterative composite brushing which enables a quick information drill-down. We illustrate the usefulness using an example from the automotive industry. We have analyzed an exhaust manifold time-dependent simulation data set.

Published

Proc. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2011)

  • Pages: 17–24
  • Location: Plzen, Czech Republic
  • Project: SemSeg

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BibTeX

@inproceedings{lez11pathlines,
  author = {Alan Lez and Andreas Zajic and Kresimir Matkovic and Armin 
  Pobitzer and Michael Mayer and Helwig Hauser},
  title = {Interactive Exploration and Analysis of Pathlines in Flow Data},
  year = {2011},
  abstract = {The rapid development of large-scale scientific computing nowadays 
allows to inherently respect the unsteady character of natural phenomena in 
computational flow simulation. With this new trend to more regularly consider 
time-dependent flow scenarios, an according new need for advanced exploration 
and analysis solutions emerges. In this paper, we now present three new 
concepts in pathline analysis which further improve the abilities of analysis: 
a multi-step analysis which helps to save time and space needed for computation, 
direct pathline brushing, and usage of pre-configured view arrangements. We have 
found that clever combining of these three concepts with already existing 
methods creates very powerful tool for pathline analysis. The coordinated 
multiple views (CMV) tool used supports iterative composite brushing which 
enables a quick information drill-down. We illustrate the usefulness using an 
example from the automotive industry. We have analyzed an exhaust manifold
time-dependent simulation data set.},
  booktitle = {Proc. International Conference in Central Europe on Computer
Graphics, Visualization and Computer Vision (WSCG 2011)},
  pages = {17--24},
  location = {Plzen, Czech Republic},

}






 Last Modified: Jean-Paul Balabanian, 2014-04-09