Optimization-based model order reduction of fluid-structure interaction problems
Tommaso Taddei, Xuejun Xu, Lei Zhang

TL;DR
This paper presents an optimization-based approach for full-order and reduced-order modeling of fluid-structure interaction problems, utilizing implicit coupling and projection-based model reduction techniques.
Contribution
It introduces a novel optimization-based coupled formulation for fluid-structure interaction and applies projection-based model reduction to both fluid and solid subproblems.
Findings
Effective coupling of fluid and solid models demonstrated
Projection-based reduction reduces computational cost
Numerical results validate the approach
Abstract
We introduce optimization-based full-order and reduced-order formulations of fluid structure interaction problems. We study the flow of an incompressible Newtonian fluid which interacts with an elastic body: we consider an arbitrary Lagrangian Eulerian formulation of the fluid problem and a fully Lagrangian formulation of the solid problem; we rely on a finite element discretization of both fluid and solid equations. The distinctive feature of our approach is an implicit coupling of fluid and structural problems that relies on the solution to a constrained optimization problem with equality constraints. We discuss the application of projection-based model reduction to both fluid and solid subproblems: we rely on Galerkin projection for the solid equations and on least-square Petrov-Galerkin projection for the fluid equations. Numerical results for three model problems illustrate the…
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Taxonomy
TopicsModel Reduction and Neural Networks · Real-time simulation and control systems · Hydraulic and Pneumatic Systems
