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Visualizing Transport and Mixing in Particle-based Fluid Flows

Rapp, Tobias; Dachsbacher, Carsten

Abstract:
To 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.

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Originalveröffentlichung
DOI: 10.2312/vmv.20191330
Zugehörige Institution(en) am KIT Institut für Visualisierung und Datenanalyse (IVD)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-3-03868-098-7
KITopen-ID: 1000119987
Erschienen in Vision, Modeling and Visualization (VMV19). Ed.: H.-J. Schulz
Verlag Eurographics Association
Seiten 161-169
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