This study is an example of the possible use of the Reduced Order Model (ROM) in air quality management in an operating theater. We present a steady-state CFD (Computer Fluid Dynamics) simulation with the aim of obtaining, in real-time, the variables of interest associated with any change in the room conditions. This is possible by means of a Digital Twin (DT), obtained by a ROM using a...
Deep learning-based reduced order models (DL-ROMs) have been recently proposed to overcome common limitations shared by conventional ROMs – built, e.g., exclusively through proper orthogonal decomposition (POD) – when applied to nonlinear time-dependent parametrized PDEs.
In this work, thanks to a prior dimensionality reduction through POD, a two-step DL-based prediction framework has been...
Vortex-induced vibrations (VIV) of structures pose computationally expensive problems of high practical interest to several engineering fields. In this work, we develop a methodology for non-intrusive, reduced-order modelling of two-dimensional VIV simulations. We consider the problem of an elliptical non-deformable solid mounted on vertical and horizontal springs, subject to a low-Reynolds...
Computational fluid dynamics (CFD) data are usually high dimensional, with millions of degrees of freedom in space and thousands of timesteps. The first step of reduced order modeling is to identify a new set of coordinates, a low dimensional embedding, that describe the underlying dominant structures in the data. This is usually done via Proper Orthogonal Decomposition (POD), which gives the...
This work focuses on the application of methods of 3D mesh deformation in order to preserve properties of interest like volume or curvature. Results regarding Variational Autoencoders, Semi-Discrete Optimal Transport applied to simple geometries will be presented. The extension of Semi Discrete Optimal Transport to three meshes will also be discussed.
Projection-based intrusive reduced-order models (ROMs) have demonstrated exciting results across a wide range of applications [1-2]; nevertheless, implementing such intrusive techniques requires significant modifications to the underlying numerical codes. Non-Intrusive Reduced-Order Models (NIROM) based on Proper Orthogonal Decomposition (POD) have been proposed for providing a reduced-order...
