Publication:
POD-based Hydrodynamical Structures Visualization in Flows with an Internal Wave Attractor

creativeworkseries.issn2079-3537
dc.contributor.authorElistratov, S. A.
dc.date.accessioned2023-09-29T07:10:50Z
dc.date.available2023-09-29T07:10:50Z
dc.date.issued2023
dc.description.abstractHydrodynamical structure attending a flow can be hid and hardly to reveal. One of the methods to find them is to use mode decomposition (such as Proper orthogonal decomposition, POD). The method represents the field given as a series of spatial modes multiplied by corresponding temporal coefficients. In the article the method is discussed applyingly to a complex flow with a wave attractor structure. Attractor modes present structured vortex-like figure which cannot be claimed to be aleatory. As it turns out POD modes are not just a formal decomposition but have a physical origin: they are connected with instability cascade minor frequencies, as spectral investigation shows. Another consequence of that is that one of the collateral structure maximum can be visible. This proposition is proven as the structure is found to be visible in the flow itself.
dc.identifier.citationS.A. Elistratov. POD-based Hydrodynamical Structures Visualization in Flows with an Internal Wave Attractor (2023). Scientific Visualization 15.2: 125 - 133, DOI: 10.26583/sv.15.2.11
dc.identifier.doi10.26583/sv.15.2.11
dc.identifier.doi10.26583/sv.15.2.11
dc.identifier.issn2079-3537
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/359
dc.identifier.urihttp://sv-journal.org/2023-2/11/
dc.relation.ispartofScientific Visualization
dc.subjectVisualization
dc.subjectProper orthogonal decomposition
dc.subjectInstability
dc.subjectWave attractor
dc.titlePOD-based Hydrodynamical Structures Visualization in Flows with an Internal Wave Attractor
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume15
relation.isJournalIssueOfPublication8911651c-1b88-4d4b-a798-676adb107a84
relation.isJournalIssueOfPublication.latestForDiscovery8911651c-1b88-4d4b-a798-676adb107a84
relation.isJournalOfPublication95b5bb8c-faac-4680-a70f-5adf56268bdc
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