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Acceleration Feature Points of Unsteady Shear Flows
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (vetenskapliga visualisering)ORCID iD: 0000-0001-7285-0483
2016 (English)In: Journal Archives of Mechanics, ISSN 0373-2029, Vol. 68, no 1, 55-80 p.Article in journal (Refereed) Published
Abstract [en]

A framework for extracting features in 2D transient flows, based on the acceleration field to ensure Galilean invariance is proposed in this paper. The minima of the acceleration magnitude (a superset of acceleration zeros) are extracted and discriminated into vortices and saddle points, based on the spectral properties of the velocity Jacobian. The extraction of topological features is performed with purely combinatorial algorithms from discrete computational topology. The feature points are prioritized with persistence, as a physically meaningful importance measure. These feature points are tracked in time with a robust algorithm for tracking features. Thus, a space-time hierarchy of the minima is built and vortex merging events are detected. We apply the acceleration feature extraction strategy to three two-dimensional shear flows: (1) an incompressible periodic cylinder wake, (2) an incompressible planar mixing layer and (3) a weakly compressible planar jet. The vortex-like acceleration feature points are shown to be well aligned with acceleration zeros, maxima of the vorticity magnitude, minima of the pressure field and minima of λ2.

Place, publisher, year, edition, pages
Instytut Podstawowych Problemów Techniki , 2016. Vol. 68, no 1, 55-80 p.
Keyword [en]
Vortex extraction, topological feature analysis
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:liu:diva-127646OAI: oai:DiVA.org:liu-127646DiVA: diva2:926333
Available from: 2016-05-06 Created: 2016-05-06 Last updated: 2016-05-16

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http://am.ippt.pan.pl/am/article/view/v68p55

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ReferencesLink to record
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