Evolution Surfaces for Spatiotemporal Visualization of Vortex Features

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dc.contributor.authorFerrari, Simon
dc.contributor.authorHu, Yaoping
dc.contributor.authorMartinuzzi, Robert John
dc.date.accessioned2019-10-03T21:23:21Z
dc.date.available2019-10-03T21:23:21Z
dc.date.issued2019-09-10
dc.description.abstractTurbulent fluid flow data is often 4-dimensional (4D), spatially and temporally complex, and requires specific techniques for visualization. Common visualization techniques neglect the temporal aspect of the data, limiting the ability to convey feature motion or offering the user a complicated visualization. To remedy this, we present an approach – evolution surfaces – focused on the spatiotemporal rendering of user-selected flow features (i.e., vortices). By abstracting the spatial representation of these features, the approach renders their spatiotemporal behavior with reduced visual complexity. The behavior of vortex features are presented as surfaces, with textures indicating properties of motion and evolution events (e.g., bifurcation and amalgamation) represented by the surface topology. We evaluated the approach on two datasets generated from empirical measurement and computational simulation (Re = 28000 and Re = 1200 respectively). Our approach’s focus on handling evolution events makes it capable of visualizing higher Reynolds number (Re) flows than other surface-based techniques. This approach has been assessed by fluid dynamicists to assert the validity for flow analysis. Evolution surfaces offer a compact visualization of spatiotemporal vortex behaviors, opening potential avenues for exploration and analysis of fluid flows.en_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)en_US
dc.identifier.citationferrai, S., Hu, Y., & Martinuzzi, R. J. (2019). Evolution Surfaces for Spatiotemporal Visualization of Vortex Features. "Canadian Journal of Electrical and Computer Engineering". 1-12. DOI: 10.1109/CJECE.2019.2917394en_US
dc.identifier.doi10.1109/CJECE.2019.2917394en_US
dc.identifier.grantnumberRGPIN-2015-06601, STPGP 478870en_US
dc.identifier.urihttp://hdl.handle.net/1880/111130
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/37188
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.subjectfeature trackingen_US
dc.subjectflow analysisen_US
dc.subjectspatiotemporal visualizationen_US
dc.subjectvortex extractionen_US
dc.titleEvolution Surfaces for Spatiotemporal Visualization of Vortex Featuresen_US
dc.typejournal articleen_US
dc.typeacceptedVersionen_US
ucalgary.item.requestcopyfalseen_US
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