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Projekt Druckansicht

Steadification von zeitabhängigen Vektorfeldern für die Strömungsvisualisierung

Fachliche Zuordnung Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
Softwaretechnik und Programmiersprachen
Förderung Förderung von 2016 bis 2022
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 309227598
 
Erstellungsjahr 2022

Zusammenfassung der Projektergebnisse

We have developed approaches to represent an unsteady flow field v(x,t) by a new vector field w(x,t) such that the path lines of v correspond to the stream lines of w. This was motivated by the following observation: Stream lines in steady (as well as unsteady) vector fields are much better explored and understood than path lines. There are some reasons for this: • Historically, Flow visualization was concerned with steady vector fields first before moving to unsteady ones. For steady flows, stream lines are the relevant lines to be considered. • Stream lines are invariant under scaling of the (steady or unsteady) vector field, while scaling of an unsteady field will generally change the path lines. • Stream lines do not have self-intersections, path lines generally do. • Stream lines can usually be integrated until infinity (unless the boundary of the spatial domain is reached), whereas path lines can usually be integrated only over a finite time interval. Beside these advantages, stream lines have big drawback: they have no physical meaning in unsteady flow fields (contrary to path lines that describe the trajectories of unsteady particles. We formulated the problem as an optimization problem where both the unknown field w and the location of cuts in w are searched simultaneously. The result is a steady visualization of unsteady flow fields where the flow dynamics are encoded in the steady representation. In addition, we developed a modified version of the well-known double gyre test data set that has - contrary to the original formulation - a closed-form solution of the hyperbolic trajectory. We applied this ground truth data set to evaluate existing approaches for the extraction of Lagrangian Coherent Structures in timedependent vector fields.

Projektbezogene Publikationen (Auswahl)

 
 

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