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 |
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| 1. Verfasser: | |
| 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. |
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| Bibliographie: | ArticleID:00121 ark:/67375/6GQ-BDDP8LRN-W istex:D0F7A1D011F0AB5B87481AD6D90380521B5FD6A9 PII:S0022112010001217 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0022-1120 1469-7645 |
| DOI: | 10.1017/S0022112010001217 |