FRANCESCO LAROCCA

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Prof. Associato Confermato

+39 0110906824 / 6824 (DIMEAS)

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Pubblicazioni più recenti

Ferrero, A.; Iollo, A.; Larocca, F.; Loffredo, M.; Menegatti, E. (2021)
FIELD INVERSION AND MACHINE LEARNING STRATEGIES FOR IMPROVING RANS MODELLING IN TURBOMACHINERY. In: 14th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, ETC 2021, Gdansk (Poland) - Online, 2021, pp. 1-16 Download fulltext
Ferrero, Andrea; Iollo, Angelo; Larocca, Francesco; Pennecchi, Francesca Romana (2021)
The role of uncertainty in data-driven turbulence modelling. In: Mathematical and Statistical Methods for Metrology MSMM 2021, Virtual workshop, 31 May – 1 June 2021, pp. 118-119 Download fulltext
Ferrero, Andrea; Larocca, Francesco; Iollo, Angelo; Philibert, Thomas (2021)
Machine learning methods for the simulation of turbulent flows in turbomachinery. In: Euromech Colloquium 614 - Machine learning methods for prediction and control of turbulent flows, Paris (Fr), June 16-18, 2021, pp. 46-47 Download fulltext
Ferrero, Andrea; Larocca, Francesco; Scovazzi, Guglielmo; Germano, Massimo (2021)
A Numerical Study of the Spanwise Turbulence Past a Cylinder Flow. In: iTi Conference in Turbulence 2021, Online, February 25th–26th, 2021, pp. 91-96. ISSN 0930-8989. ISBN: 978-3-030-80715-3
Ferrero, A.; Larocca, F.; Pennecchi, F. R. (2020)
Uncertainty propagation in field inversion for turbulence modelling in turbomachinery. In: 7th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2020, Pisa (Italy), 2020, pp. 303-308. ISSN 2575-7482. ISBN: 9781728166360
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