Abstract
In this paper, we present two combinatorial methods to process 3-D steady vector fields, which both use graph algorithms to extract features from the underlying vector field. Combinatorial approaches are known to be less sensitive to noise than extracting individual trajectories. Both of the methods are a straightforward extension of an existing 2-D technique to 3-D fields. We observed that the first technique can generate overly coarse results and therefore we present a second method that works using the same concepts but produces more detailed results. We evaluate our method on a CFD-simulation of a gas furnace chamber. Finally, we discuss several possibilities for categorizing the invariant sets with respect to the flow.
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Acknowledgements
We want to thank Tomasz Kaczynski, Matthias Schwarz, the people from the Krakau research group for “Computer Assisted Proofs in Dynamics” and the reviewers for many valuable hints and comments. We also thank the DFG for funding the project by grant SCHE 663/3-8.
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Reich, W., Schneider, D., Heine, C., Wiebel, A., Chen, G., Scheuermann, G. (2012). Combinatorial Vector Field Topology in Three Dimensions. In: Peikert, R., Hauser, H., Carr, H., Fuchs, R. (eds) Topological Methods in Data Analysis and Visualization II. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23175-9_4
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DOI: https://doi.org/10.1007/978-3-642-23175-9_4
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