Model Order Reduction of Parameter-Dependent Particle Laden Flows
A. Kovárnová,
M. Isoz
Abstract:In this contribution, we extend our previously-developed framework for model order reduction of transport-dominated systems towards parameterized cases. The method combines the shifted proper orthogonal decomposition with interpolation via artificial neural networks. The resulting framework is an a-posteriori one, i.e., for parameterized systems, time-dependent solutions for several parameter values are required for the construction of the reduced-order model (ROM). The ROM can then be cheaply evaluated to pre… Show more
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