This article presents a Galerkin projection model order reduction approach
for fluid-structure interaction (FSI) problems in the Finite Volume context.
The reduced-order model (ROM) is based on proper orthogonal decomposition
(POD), where a reduced basis is formed using energy-dominant POD modes. The
reduced basis also consists of characteristics of the POD time modes derived
from the POD time modes coefficients. In addition, the solution state vector
comprises the mesh deformation, considering the structural motion in FSI. The
results are obtained by applying the proposed method to time-dependent problems
governed by the 2D incompressible Navier-Stokes equations. The main objective
of this work is to introduce a hybrid technique mixing up the classical
Galerkin-projection approach with a data-driven method to obtain a versatile
and accurate algorithm for resolving FSI problems with moving meshes. The
effectiveness of this approach is demonstrated in the case study of
vortex-induced vibrations (VIV) of a cylinder at Reynolds number Re = 200. The
results show the stability and accuracy of the proposed method with respect to
the high-dimensional model by capturing transient flow fields and, more
importantly, the forces acting on the moving objects