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dc.contributor.authorRapp, Tobiasen_US
dc.contributor.authorDachsbacher, Carstenen_US
dc.contributor.editorSchulz, Hans-Jörg and Teschner, Matthias and Wimmer, Michaelen_US
dc.date.accessioned2019-09-29T06:47:05Z
dc.date.available2019-09-29T06:47:05Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-098-7
dc.identifier.urihttps://doi.org/10.2312/vmv.20191330
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20191330
dc.description.abstractTo gain insight into large, time-dependent particle-based fluid flows, we visually analyze Lagrangian coherent structures (LCS), a robust skeleton of the underlying particle dynamics. To identify these coherent structures, we build on recent work that efficiently computes the finite-time Lyapunov exponent (FTLE) directly on particle data. We formulate the LCS definitions for particles based on robust approximations for higher-order derivatives of the FTLE. Based on these formulations, we derive a per-particle distance to the closest coherent structure. This allows us to visually analyze and explore the Lagrangian transport behavior directly on the particle data. We show that this is especially beneficial to detect and visualize flow features on different time scales. Lastly, we apply our approach to study mixing in multiphase flows by visualizing the different types of fluids and their relation to the coherent structures.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectScientific visualization
dc.titleVisualizing Transport and Mixing in Particle-based Fluid Flowsen_US
dc.description.seriesinformationVision, Modeling and Visualization
dc.description.sectionheadersVisualization and Visual Analytics
dc.identifier.doi10.2312/vmv.20191330
dc.identifier.pages161-169


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  • VMV19
    ISBN 978-3-03868-098-7

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