Projection based semi--implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid--Structure Interaction problems
Monica Nonino, Francesco Ballarin, Gianluigi Rozza, Yvon Maday

TL;DR
This paper introduces a semi-implicit partitioned Reduced Basis Method for efficiently solving both parametrized and non-parametrized Fluid-Structure Interaction problems involving incompressible fluids and elastic structures.
Contribution
It proposes a novel projection-based reduced order model that handles coupled multiphysics FSI problems with semi-implicit coupling and Proper Orthogonal Decomposition.
Findings
Effective reduction of computational complexity for FSI problems.
Applicable to both time-dependent and parametrized scenarios.
Maintains accuracy with reduced basis approach.
Abstract
We present a partitioned Model Order Reduction method for multiphysics problems, that is based on a semi-implicit treatment of the coupling conditions, and on a projection scheme. The proposed Reduced Order Method is based on the Proper Orthogonal Decomposition and on a Galerkin projection onto the reduced basis spaces; we aim of addressing both time-dependent and time-dependent, parametrized Fluid-Structure Interaction problems, where the fluid is incompressible and the structure is linear, elastic and two dimensional.
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Fluid Dynamics and Vibration Analysis
