Data-driven reduced order modeling for flows with moving geometries using shifted POD
Résumé
A new approach, based on the shifted Proper Orthogonal Decomposition (sPOD), for modelling and optimizing flows with moving geometries is presented. This novel model order reduction technique is shown to be efficient for advection dominated systems and its approximation properties are assessed. Moreover its applicability for path optimization of moving geometries will be shown.
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KrahGoldackEngelsSchneiderReiss_ifac_discussion.pdf (399.63 Ko)
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