Physically based methods for flow visualization and analysis and interactive exploration techniques for time-dependent CFD data.

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Forschungsstelle

INNOSUISSE

Projektnummer

7338.2;4 ESPP-ES

Projekttitel

Physically based methods for flow visualization and analysis and interactive exploration techniques for time-dependent CFD data.

Projekttitel Englisch

Physically based methods for flow visualization and analysis and interactive exploration techniques for time-dependent CFD data.

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung	-	-	-
Abstract	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	Physically based methods for flow visualization and analysis and interactive exploration techniques for time-dependent CFD data.
Abstract (Englisch)	The first objective of this research project is the development of visualization techniques based on vorticity transport and related physical principles. Beyond the visualization of extracted single features, we aim at revealing the interrelation between features of different types. The second objective is to optimize visualization algorithms for efficient display of time-dependent flow data in a virtual reality environment. Optimization techniques being used or explored are parallelization by domain decomposition or time-step pipelining, view dependence, and temporal coherency.

Kategorie

Text

Kurzbeschreibung
(Englisch)

Physically based methods for flow visualization and analysis and interactive exploration techniques for time-dependent CFD data.

Abstract
(Englisch)

The first objective of this research project is the development of visualization techniques based on vorticity transport and related physical principles. Beyond the visualization of extracted single features, we aim at revealing the interrelation between features of different types. The second objective is to optimize visualization algorithms for efficient display of time-dependent flow data in a virtual reality environment. Optimization techniques being used or explored are parallelization by domain decomposition or time-step pipelining, view dependence, and temporal coherency.