# Efficient Geometrical parametrization for Finite-Volume based Reduced Order Methods

## TL;DR

This paper introduces an efficient geometrical parametrization method for finite-volume based reduced order models, avoiding common domain mappings and utilizing D-EIM to manage non-affinity and non-linearities, demonstrated on heat transfer and fluid flow problems.

## Contribution

It proposes a novel geometrical parametrization approach for finite-volume reduced order methods that does not require domain mapping, enhancing efficiency and flexibility.

## Key findings

- Effective handling of parametrized geometries without domain mapping.
- Comparison of mesh motion strategies for heat transfer problems.
- Successful application to Navier-Stokes flow with segregated reduced order modeling.

## Abstract

In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order approximations. On the contrary to what is normally done in the framework of finite element reduced order methods, different geometries are not mapped to a common reference domain: the method relies on basis functions defined on an average deformed configuration and makes use of the Discrete Empirical Interpolation Method (D-EIM) to handle together non-affinity of the parametrization and non-linearities. In the first numerical example, different mesh motion strategies, based on a Laplacian smoothing technique and on a Radial Basis Function approach, are analyzed and compared on a heat transfer problem. Particular attention is devoted to the role of the non-orthogonal correction. In the second numerical example the methodology is tested on a geometrically parametrized incompressible Navier--Stokes problem. In this case, the reduced order model is constructed following the same segregated approach used at the full order level