Visualizing three-dimensional vortex shedding through evolution surface clusters

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dc.contributor.authorFerrari, Simon
dc.contributor.authorHu, Yaoping
dc.contributor.authorMorton, Chris R.
dc.contributor.authorMartinuzzi, Robert John
dc.date.accessioned2019-11-19T22:33:50Z
dc.date.available2019-11-19T22:33:50Z
dc.date.issued2019-11-01
dc.description.abstractTurbulent vortex shedding in the wake of a bluff body often contains cycle-to-cycle variations in the shape, trajectory, and intensity of vortices. Existing flow visualization techniques cannot effectively present these variations and, consequently, their influence on the aerodynamics to the user. This paper explores a new flow visualization approach to represent quasi-periodic vortex shedding over multiple shedding cycles concurrently. This approach uses a reduced-dimension representation of spatiotemporal vortex progression (called evolution surfaces) and ensemble visualization techniques (clustering). The resulting visualization can be used to identify topological changes in the behavior and strengths of coherent structures (i.e. vortices) in unsteady flows. This approach is applied in two case studies of bluff body wakes with Reynolds Numbers Re = 1200 (Hemmati et al. 2016c) and Re = 300 (Morton et al. 2018). In prior work, classification of these wakes’ dynamics was based on energy fluctuation and shedding topology. However, these techniques are not well suited for representing characteristic changes between shedding regimes. In the present work, it has been shown that evolution surface clusters help to identify topological changes characterizing cycle-to-cycle variations in vortex behavior, while reducing visual clutter. The results indicate that evolution surface clusters are a promising visualization tool for comparative analysis of unsteady vortex dynamics in turbulent wakes.en_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)en_US
dc.identifier.citationFerrari, S., Hu, Y., Morton, C. R., & Martinuzzi, R. J. (2019). Visualizing three-dimensional vortex shedding through evolution surface clusters. "Journal of Visualization". 1-17. http://doi.org/10.1007/s12650-019-00612-2en_US
dc.identifier.doi10.1007/s12650-019-00612-2en_US
dc.identifier.grantnumberRGPIN-2015-06601, STPGP 478870en_US
dc.identifier.urihttp://hdl.handle.net/1880/111235
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/37258
dc.language.isoengen_US
dc.publisher.departmentElectrical and Computer Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectflow visualizationen_US
dc.subjectspatiotemporal ensemblesen_US
dc.subjectvortex sheddingen_US
dc.subjectpattern recognitionen_US
dc.titleVisualizing three-dimensional vortex shedding through evolution surface clustersen_US
dc.typeacceptedVersionen_US
ucalgary.item.requestcopyfalseen_US
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