Regularization method for calibrated POD reduced-order models

Regularization method for calibrated POD reduced-order models

In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow around a cylinder for a Reynolds number of 200....

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Veröffentlicht in:MATEC web of conferences 2014-01, Vol.16, p.6001
Hauptverfasser: El Majd, Badr Abou, Cordier, Laurent
Format: Artikel
Sprache:eng
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Zusammenfassung:In this work we present a regularization method to improve the accuracy of reduced-order models based on Proper Orthogonal Decomposition. The bench mark configuration retained corresponds to a case of relatively simple dynamics: a two-dimensional flow around a cylinder for a Reynolds number of 200. Finally, we show for this flow configuration that this procedure is efficient in term of reduction of errors.
ISSN:2261-236X
2261-236X
DOI:10.1051/matecconf/20141606001