Data-driven closure of projection-based reduced order models for unsteady compressible flows

A data-driven closure modeling based on proper orthogonal decomposition (POD) temporal modes is used to obtain stable and accurate reduced order models (ROMs) of unsteady compressible flows. Model reduction is obtained via Galerkin and Petrov–Galerkin projection of the non-conservative compressible...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering 2021-12, Vol.386, p.114120, Article 114120
Hauptverfasser:	Zucatti, Victor, Wolf, William
Format:	Artikel
Sprache:	eng
Schlagworte:	Calibration Coefficients Compressible flow Data-driven closure Galerkin method Galerkin projection Iterative methods Mathematical models Model reduction Petrov–Galerkin projection Proper Orthogonal Decomposition Reduced order model Reduced order models Regularization
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