Giulio Gori

Since graduating at Politecnico di Milano, at the end of July 2013, I pledged all my efforts in finding a role in the academics. Eventually, I was able to get a Junior Research grant at Politecnico di Milano, to start working on the development of numerical methods for non-ideal compressible-fluid flows, in June 2014.

In this period my research was focused mainly on Non-Ideal Compressible-Fluid Dynamics, for turbo machinery applications, and on numerical methods for sliding grids.

Indeed, I am a core developer of the open-source computational fluid dynamic solver SU2 and I am responsible for the maintenance of the sliding mesh interface.

In the last years, part of my efforts were addressed to the theoretical study of shock waves in the non-ideal regime and on the resulting implications in practical applications.

These topic is of particular interest for the design and the optimization of Organic Rankine Cycle (ORC) systems.

My research interest regards also the study of the ice accretion phenomenon over aircraft and the further development of the PoliMIce software suite for in-flight icing simulations.

Indeed, I am currently working on fundamental mathematical methods and algorithms to bridge the gap between Uncertainty Quantification and Optimization for aeronautical applications, with a special attention devoted to the problem of ice accretion in hazardous weather.

The goal is to develop efficient and scalable methods to solve large scale inference problems, quantify the resulting uncertainties in the physical models, and propose new experiments to optimally improve the predictive capabilities of ice accretion models.

Research output:

Gori,  Non-Ideal Compressible Fluid-Dynamics: Developing a Combined Perspective on Modeling, Numerics and Experiments. 2020. Department of Aerospace Science and Technology, Politecnico di Milano, Italy, PhD thesis,Advisor: Prof. Alberto Matteo Attilio Guardone

G.Gori, M.Zocca, A.Guardone, O.LeMaître and P.M.Congedo. Bayesian Inference of Thermodynamic Models from Vapor Flow Experiments, Computer & Fluids, Vol. 205, 104550, 2020.

Razaaly, G. Persico, G. Gori and P.M. Congedo, Quantile-Based Roust Optimization of a Supersonic Nozzle for Organic-Rankine Cycle Turbines, Applied Mathematical Modelling, Vol. 82, pp. 802-824, 2020

Gori, M. Zocca, G. Cammi, A. Spinelli, P. M. Congedo and A. Guardone, Accuracy Assessment of the Non- Ideal Computational fluid Dynamics Model for Siloxane MDM from the open-source SU2 suite, European Journal of Mechanics-B/Fluids, Vol. 79, pp. 109-120, 2019.

Gori, N. Razaaly, G. Iaccarino and P. M. Congedo, Structural Uncertainty Estimation of Turbulence Models in Organic Rankine Cycle Applications, proceeding at the ORC2019 conference, Athens, Greece, 2019.

Razaaly, G. Gori, G. Iaccarino, P. M. Congedo, Optimization of an ORC Supersonic Nozzle Under Epistemic Uncertainties due to Turbulence Models, proceeding at the Global Power and Propulsion Society GPPS2019 Conference, Zurich, Switzerland, 2019.

Razaaly, G. Gori, O. Le Maître, G. Iaccarino, P. M. Congedo, Robust Optimization of Turbine Cascade for Organic Rankine Cycles Operating with Siloxane MDM, proceeding of the Summer Program at the Center for Turbulence Research, Stanford University, California, USA, 2018.

Gori, A. Turchi, T. Magin, O. Le Maître and P. M. Congedo. Exploring the Impact of the Initial Temperature Field Uncertainty on the Response of Ablative Materials, proceeding at the International Conference on Flight Vehicles, Aerothermodynamics and Re-Entry Missions and Engineering, Bari, Italy, 2019.

Arizmendi, T. Bellosta, A. del Val, G. Gori, M. O. Prazeres and J. Reis, On Real-Time Management of On- Board Ice Protection Systems by Means of Machine Learning, Proceeding at the AIAA Aviation Forum 2019, Dallas, Texas, USA, 2019.

Gori, D. Vimercati and A. Guardone, A Numerical Investigation of Oblique Shock Waves in Non-Ideal Compressible-fluid Flows, proceeding at the 31st International Symposium on Shock Waves ISSW31, Nagoya, Japan, 2018.

Zocca, G. Gori, O. Le Maître, P. M. Congedo and A. Guardone, A Robust Experiment Design for the Investigation of Non-Ideal Compressible Fluid Flow Effects, proceeding at the 7th European Conference on Computational Fluid Dynamics (ECFD7), Glasgow, United Kingdom, 2018.

Razaaly, G. Persico, G. Gori, P. M Congedo, Robust Optimization of a Supersonic ORC Turbine Cascade: a Quantile-Based Approach, proceeding at the 7th European Conference on Computational Fluid Dynamics (ECFD7), Glasgow, United Kingdom, 2018.