Dynamic mode decomposition of numerical and experimental data

The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in...

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Veröffentlicht in:Journal of fluid mechanics Jg. 656; H. August; S. 5 - 28
1. Verfasser: SCHMID, PETER J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cambridge, UK Cambridge University Press 10.08.2010
Cambridge University Press (CUP)
Schlagworte:
ISSN:0022-1120, 1469-7645
Online-Zugang:Volltext
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Zusammenfassung:The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in a physical experiment. The extracted dynamic modes, which can be interpreted as a generalization of global stability modes, can be used to describe the underlying physical mechanisms captured in the data sequence or to project large-scale problems onto a dynamical system of significantly fewer degrees of freedom. The concentration on subdomains of the flow field where relevant dynamics is expected allows the dissection of a complex flow into regions of localized instability phenomena and further illustrates the flexibility of the method, as does the description of the dynamics within a spatial framework. Demonstrations of the method are presented consisting of a plane channel flow, flow over a two-dimensional cavity, wake flow behind a flexible membrane and a jet passing between two cylinders.
Bibliographie:ArticleID:00121
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PII:S0022112010001217
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ISSN:0022-1120
1469-7645
DOI:10.1017/S0022112010001217