Summer School on Reduced Order Methods in Computational Fluid Dynamics

Jul 11, 2022, 8:00 AM → Jul 15, 2022, 7:00 PM Europe/Rome

SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy

The scope and the structure of the Summer School (II Edition)

The scope of the summer school is to provide an overview of reduced order methods with particular emphasis on fluid dynamics problems. The school will start with a brief introduction on the different full order discretization techniques usually employed in computational fluid dynamics (Finite Element and Finite Volume Method) and will later introduce different reduced order modeling strategies. The methodologies introduced during the classes will also be employed during practical exercises using the computational framework developed at SISSA. In particular the libraries RBniCS and ITHACA-FV, maintained by the SISSA mathLab group, will be used.

This is the second edition, the previous Summer School on Reduced Order Methods in Computational Fluid Dynamics was held in July 2019, in Trieste.

SISSA Lecturers: Gianluigi Rozza, Giovanni Stabile, Michele Girfoglio, Martin Hess, Davide Torlo, Nicola Demo, Caterina Balzotti, Anna Ivagnes, Francesco Romor, Martina Teruzzi, Anna Nikishova, Martina Cracco, Laura Meneghetti.

Guest Lecturers: Francesco Ballarin (Catholic University of the Sacred Heart Brescia), Andrea Mola (IMT School for Advanced Studies Lucca), Federico Pichi (École Polytechnique Fédérale de Lausanne), Maria Strazzullo (Politecnico di Torino), Marco Tezzele (The University of Texas at Austin), Efthymios Karatzas. (National Technical University of Athens), Monica Nonino (University of Vienna), Samuele Rubino (University of Sevilla, Spain), Romit Maulik (Argonne National Laboratories, US).

Scientific Committee: Gianluigi Rozza, Giovanni Stabile, Michele Girfoglio.

Organizing Committee: SISSA mathLab staff.

The Summer School will be of 5 days; Also, there will be a poster session open to students and early postdocs. Participants are encouraged to prepare a poster that summarizes their research activity that will be presented during the summer school.

Group photo of the second edition of the Summer School on Reduced Order Methods in Computational Fluid Dynamics (July 2022).

The school is organized in cooperation with SISSA SIAM student chapter and it is inserted in the framework of the ERC AROMA-CFD, ERC POC ARGOS, ARIA (Accurate ROMs for Industrial Applications) and eFlows4HPC (Enabling Dynamic and Intelligent workflows in the future EuroHPC ecosystem) projects.

 

 

 

FV_ROM.pdf

Monday, July 11

1:45 PM → 2:00 PM Opening

2:00 PM → 2:45 PM Introduction on Reduced Order Methods in CFD: State of the art and Perspectives

Speaker: Prof. Gianluigi Rozza

2:45 PM → 3:30 PM A brief Technical Introduction on Reduced Order Methods based on Galerkin Projection

Speaker: Prof. Gianluigi Rozza

3:30 PM → 4:00 PM Coffe Break

4:00 PM → 4:45 PM Basics Of the Finite Element Method

Speaker: Dr Maria Strazzullo

4:45 PM → 5:30 PM Reduced Basis for Finite Element Problems

Speaker: Dr Maria Strazzullo

5:30 PM → 6:15 PM A posteriori error estimation for certified reduced basis methods

Speaker: Dr Federico Pichi

Tuesday, July 12

9:00 AM → 9:45 AM Non-affine (and nonlinear) problems

Speaker: Dr Federico Pichi

9:45 AM → 10:30 AM Reduced Order Methods for Flow Control

Speaker: Dr Maria Strazzullo

10:30 AM → 11:00 AM Coffe Break

11:00 AM → 11:45 AM Reduced order modelling in bifurcating parametrised non-linear equations

Speaker: Dr Federico Pichi

11:45 AM → 12:30 PM Best Practices in Programming

Speaker: Dr Nicola Demo

12:30 PM → 2:00 PM Lunch Break

2:00 PM → 2:45 PM Practical Session with RBniCS I : worked problems

Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo

2:45 PM → 3:30 PM Practical Session with RBniCS II : worked problems

Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo

3:30 PM → 4:00 PM Coffe Break

4:00 PM → 4:45 PM Reduced Order Models for Fluid Structure Interaction

Speaker: Dr Monica Nonino

4:45 PM → 5:30 PM Non-intrusive data-driven reduced order model for biomedical applications

Speakers: Dr Michele Girfoglio, Dr Caterina Balzotti

5:30 PM → 6:15 PM Data-driven reduced order modeling of natural convection in porous media using convolutional autoencoders and Barlow Twins self-supervised learning

Speaker: Dr Francesco Ballarin

Wednesday, July 13

9:00 AM → 9:45 AM POD-ROMs for incompressible flows: local projection, supremizers stabilization and RANS turbulence models

Speaker: Dr Samuele Rubino

9:45 AM → 10:30 AM Reduced Basis for Embedded Methods

Speaker: Dr Efthymios Karatzas

10:30 AM → 11:00 AM Coffe Break

11:00 AM → 11:45 AM Weighted Reduced Order approaches for Uncertainty Quantification

Speaker: Dr Davide Torlo

11:45 AM → 12:30 PM Spectral Element Method for Computational Fluid Dynamics

Speaker: Dr Martin Hess

12:30 PM → 2:00 PM Lunch Break

2:00 PM → 3:30 PM Introduction on the Finite Volume Method and turbulence modelling

Speaker: Dr Giovanni Stabile

3:30 PM → 4:00 PM Coffe Break

4:00 PM → 4:45 PM Non-intrusive reduced-order modeling using scientific machine learning

Speaker: Dr Romit Maulik

4:45 PM → 5:33 PM Poster blitz

4:45 PM Non-linear reduction for data-driven non-intrusive reduced-order models with parallel autoencoders

Speaker: Aly Karim Yehia

4:48 PM A continuous trainable filter for convolution with unstructured data

Speaker: Dario Coscia

4:51 PM Comparing Different Nonlinear Dimensionality Reduction Techniques for Data-Driven Unsteady Fluid Flow Modeling

Speaker: Hunor Csala

4:54 PM SHOPROMs: SHip Optimization with Reduced Order Methods

Speaker: Lorenzo Fabris

4:57 PM A Digital Twin of an Operating Theater

Speaker: Giovanna Gargiulo

5:00 PM Adjacency-based DMD on Deforming Grids for Vortex-Induced Vibrations

Speaker: Leonidas Konstantinos Gkimisis

5:03 PM A novel deep learning architecture for the model reduction of parametric time-dependent problems

Speaker: Isabella Carla Gonnella

5:06 PM A data-driven reduced order modeling framework for shape optimization of marine propellers

Speaker: Anna Ivagnes

5:09 PM ROM for Large-scale Modelling of Urban Air Pollution

Speaker: Moaad Khamlich

5:12 PM A reduced order model for segregated FSI solvers based on a ALE approach

Speaker: Valentin Nkana

5:15 PM A Numerical Proof of Shell Model Turbulence Closure

Speaker: Giulio Ortali

5:18 PM Machine Learning and Optimal Transport for shape parametrisation

Speaker: Guglielmo Padula

5:21 PM Data Driven Methods for Delay-Differential Equations

Speaker: Alessandro Pecile

5:24 PM A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations

Speaker: Ivan Prusak

5:27 PM Reduced order model of airflow in a room with two unidirectional air diffusers

Speaker: Dario Pupic

5:30 PM A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts

Speaker: Piefrancesco Siena

5:33 PM → 6:18 PM Aperitif and posters discussion

Thursday, July 14

9:00 AM → 9:45 AM Computational reduction for CFD problems with turbulence

Speaker: Dr Giovanni Stabile

FV_ROM.pdf

9:45 AM → 10:30 AM A Reduced Order Model for a LES filtering approach in a Finite Volume environment

Speaker: Dr Michele Girfoglio

10:30 AM → 11:00 AM Coffe Break with Group Picture

11:00 AM → 11:45 AM Reduction in the parameter space

Speaker: Dr Marco Tezzele

11:45 AM → 12:30 PM Non-Intrusive Reduced Order Models for CFD

Speaker: Dr Marco Tezzele (SISSA)

12:30 PM → 2:00 PM Lunch Break

2:00 PM → 2:45 PM Practical Session with ITHACA-FV

Speaker: Dr Giovanni Stabile

2:45 PM → 3:30 PM Practical Session with ITHACA-FV

Speaker: Dr Giovanni Stabile

3:30 PM → 4:00 PM Coffe Break

4:00 PM → 4:45 PM Python Companion packages for preprocessing

Speaker: Dr Nicola Demo

4:45 PM → 5:30 PM ROM and Industrial Applications

Speaker: Dr Andrea Mola

5:30 PM → 6:15 PM An efficient computational framework for atmospheric and ocean flows

Speaker: Dr Michele Girfoglio

8:00 PM → 9:30 PM Dinner In Trieste

Friday, July 15

9:00 AM → 9:30 AM A Reduced Approach for Artificial Neural Networks

Speaker: Dr Laura Meneghetti

9:30 AM → 10:00 AM Digital Twins: state of the art and future challenges

Speaker: Dr Martina Teruzzi

10:00 AM → 10:30 AM Application of Neural Networks in the optimisation of a hybrid energy system

Speaker: Dr Anna Nikishova

10:30 AM → 11:00 AM Coffe break

11:00 AM → 11:30 AM Deep-learning based ROMs for fast transient dynamics

Speaker: Dr Martina Cracco

11:30 AM → 12:00 PM Data Enhanced Reduced Order Models for Turbulent Flows

Speaker: Dr Anna Ivagnes

12:00 PM → 12:30 PM Non-linear MOR: non-linear manifold method

Speaker: Dr Francesco Romor

12:30 PM → 12:45 PM Conclusion