Projects list

Here below you can find the list of our projects.

SHip OPtimization MEsh Parameterization Assistant (SHOPMEPA) project

Il progetto SHip OPtimization MEsh Parameterization Assistant (SH.OP. ME.PA.) è un progetto svolto nell’ambito del Piano Nazionale di Ripresa e Resilienza (PNRR) in collaborazione con Fincantieri S.p.A., avente obiettivo l’integrazione di tecniche di ottimizzazione e di machine learning nella fase di progettazione strutturale delle navi da crociera.

GEA - Geophysical and Environmental Applications

 GEA is an implementation in OpenFOAM of several numerical models for geophysical fluid dynamics.

Eflows4HPC

Recently, the simulation of complex engineering problems has become possible due to modern simulation techniques. However, this capability comes at the cost of high computational requirements that are often incompatible with the deployment in computationally constrained environments.

Reduced Order Models (ROMs) provide a possible solution to this limitation by taking the output of the “Full Order Models” (FOMs) and identifying the common patterns allowing similar problems to be solved at a much-reduced computational cost.

Data assimilation, models for prediction and control of Massachusetts Bay water acidification

The goal of the project between MIT and SISSA mathLab is the improvement of parametric ocean acidification models. We exploit optimal control, non-intrusive techniques, and probabilistic learning to enhance environmental predictions. Moreover, this kind of application needs not only reliable simulations, but they should be fast.

To this end, we propose model order reduction to deal with it.

 

The project is rooted in marine and coastal environments: a topic of primary relevance for society and economy.

Multi-disciplinary Ship Design by Reduced Order Models and Machine Learning

In the framework of the numerical analysis for parametric partial differential equations (PDEs), reduced-order modeling for fluid-structure interaction problems and probabilistic multi-disciplinary ship design, we want to go beyond the state of the art through this strategic collaboration between SISSA mathLab (modelling and scientific computing), Prof. Gianluigi Rozza’s group, and MIT Sea Grant - Department of Mechanical Engineering, Prof. Michael Triantafyllou’s group.
During this collaboration, we aim to develop a multi-disciplinary design framework capable of providing online probabilistic predictions of systems performance and characteristics, based solely on data generated by numerical solvers running off-line.

Galdi SMACT project

Attualmente l’impostazione dei parametri nelle macchine riempitrici prodotte da Galdi s.r.l., che influenzano l’efficienza della saldatura dei pacchetti, avviene attraverso una serie di test di controllo effettuati al momento del collaudo. I parametri di funzionamento, come ad esempio la temperatura e la velocità dell’aria del riscaldatore vanno calibrati al variare del materiale poliaccoppiato, delle condizioni ambientali e delle dimensioni del pacchetto.

VIEW (Vessel Integrated EMS by Wärtsilä)

Il progetto VIEW (Vessel Integrated EMS by Wärtsilä) ha lo scopo di ridurre l'emissione di gas serra nell'atmosfera da parte delle navi, rendendole così un tipo di trasporto più sostenibile. Questo progetto può essere visto come un evoluzione di SHEMS, sfruttando però un framework più ampio, aggiungendo quindi connessioni all'ottimizazzione delle rotte e delle strutture del porto; in questo modo il Digitial Twin dell'EMS diventa più integrato.

Pages