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Giovanni Delibra
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Journal Articles

Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Journal: Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
Publisher: ASME
Article Type: Research Papers
J. Energy Res. Technol. Part A. May 2025, 1(3): 032102.
Paper No: JERTA-24-1154
https://doi.org/10.1115/1.4067273
Published Online: January 3, 2025
View Article titled, Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks
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Journal Articles

A Multi-Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas

Valerio F. Barnabei, Tullio C. M. Ancora, Michela Conti, Alessio Castorrini, Giovanni Delibra, Alessandro Corsini, Franco Rispoli
Journal: Journal of Fluids Engineering
Publisher: ASME
Article Type: Research-Article
J. Fluids Eng. March 2025, 147(3): 031105.
Paper No: FE-24-1432
https://doi.org/10.1115/1.4067365
Published Online: December 31, 2024
View Article titled, A Multi-Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas
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Topics: Ocean engineering, Turbines, Wakes, Wind farms, Rotors, Seas, Wind, Optimization, Water
Proceedings Papers

A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas

Valerio Francesco Barnabei, Tullio Carlo Maria Ancora, Michela Conti, Alessio Castorrini, Giovanni Delibra, Franco Rispoli, Alessandro Corsini
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A012, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126008
https://doi.org/10.1115/GT2024-126008
View Paper titled, A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas
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Topics: Design, Ocean engineering, Pareto optimization, Seas, Water, Wind farms, Energy generation, Optimization, Turbines, Genetic algorithms
Proceedings Papers

Machine Learning Regression of Under-Expanded Hydrogen Jets

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2024, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A032, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128704
https://doi.org/10.1115/GT2024-128704
View Paper titled, Machine Learning Regression of Under-Expanded Hydrogen Jets
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Topics: Fuels, Graph neural networks, Hydrogen, Jets, Leakage, Machine learning
Journal Articles

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Ermanno Lo Schiavo, Stefano Minotti, Alessandro Corsini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. May 2024, 146(5): 051019.
Paper No: GTP-23-1331
https://doi.org/10.1115/1.4063830
Published Online: December 26, 2023
View Article titled, Characterization of High-Pressure Hydrogen Leakages
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Topics: Cross-flow, Fuels, Hydrogen, Jets, Leakage, Methane, Ventilation, Pressure, Safety, High pressure (Physics)
Journal Articles

Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades

Lorenzo Tieghi, Felix Czwielong, Valerio F. Barnabei, Christof Ocker, Giovanni Delibra, Stefan Becker, Alessandro Corsini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. February 2024, 146(2): 021007.
Paper No: GTP-23-1410
https://doi.org/10.1115/1.4063420
Published Online: October 25, 2023
View Article titled, Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades
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Topics: Acoustics, Blades, Fans, Flow (Dynamics), Inflow, Pressure, Rotors, Turbulence, Aerodynamics
Proceedings Papers

Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades

Lorenzo Tieghi, Felix Czwielong, Valerio F. Barnabei, Cristof Ocker, Giovanni Delibra, Stefan Becker, Alessandro Corsini
Proc. ASME. GT2023, Volume 6: Education; Electric Power; Energy Storage; Fans and Blowers, V006T10A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101899
https://doi.org/10.1115/GT2023-101899
View Paper titled, Aerodynamics and Aeroacoustics of Leading Edge Serration in Low-Speed Axial Fans With Forward Skewed Blades
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Topics: Aerodynamic noise, Aerodynamics, Blades, Fans, Flow (Dynamics), Emissions, Noise control, Rotors, Sound, Anechoic chambers
Proceedings Papers

Characterization of High-Pressure Hydrogen Leakages

Davide Cerbarano, Ermanno Lo Schiavo, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini
Proc. ASME. GT2023, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A007, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101383
https://doi.org/10.1115/GT2023-101383
View Paper titled, Characterization of High-Pressure Hydrogen Leakages
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Topics: Cross-flow, Gas turbines, High pressure (Physics), Hydrogen, Jets, Leakage, Safety, Ventilation
Journal Articles

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. March 2023, 145(3): 031020.
Paper No: GTP-22-1291
https://doi.org/10.1115/1.4055417
Published Online: December 8, 2022
View Article titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
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Topics: Algorithms, Blades, Flow (Dynamics), Machine learning, Noise (Sound), Simulation, Optimization, Pressure, Turbulence, Computation
Proceedings Papers

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A008, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82116
https://doi.org/10.1115/GT2022-82116
View Paper titled, Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan
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Topics: Machine learning, Noise (Sound), Algorithms, Design, Fans, Simulation, Acoustics, Aerodynamic noise, Blades, Density
Proceedings Papers

Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning

Alessandro Corsini, Giovanni Delibra, Lorenzo Tieghi, Francesco Aldo Tucci
Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T10A006, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59277
https://doi.org/10.1115/GT2021-59277
View Paper titled, Cascade With Sinusoidal Leading Edges: Identification And Quantification of Deflection With Unsupervised Machine Learning
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Topics: Cascades (Fluid dynamics), Deflection, Machine learning
Journal Articles

A Machine-Learnt Wall Function for Rotating Diffusers

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Francesco Aldo Tucci
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. August 2021, 143(8): 081012.
Paper No: TURBO-20-1368
https://doi.org/10.1115/1.4050442
Published Online: May 3, 2021
View Article titled, A Machine-Learnt Wall Function for Rotating Diffusers
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Topics: Algorithms, Computer simulation, Diffusers, Flow (Dynamics), Machinery, Modeling, Reynolds-averaged Navier–Stokes equations, Simulation, Turbulence, Machine learning
Journal Articles

Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans

Piero Danieli, Massimo Masi, Giovanni Delibra, Alessandro Corsini, Andrea Lazzaretto
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. July 2021, 143(7): 071005.
Paper No: TURBO-20-1338
https://doi.org/10.1115/1.4050445
Published Online: April 9, 2021
View Article titled, Assessment of MULTALL as Computational Fluid Dynamics Code for the Analysis of Tube-Axial Fans
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Topics: Computational fluid dynamics, Rotors, Turbulence, Fans, Density
Proceedings Papers

Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Gabriele Lucherini, Stefano Minotti, Stefano Rossin, Lorenzo Tieghi
Proc. ASME. GT2020, Volume 9: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Steam Turbine, V009T21A006, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14916
https://doi.org/10.1115/GT2020-14916
View Paper titled, Prediction of Ventilation Effectiveness for LM9000 Package With Machine Learning
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Topics: Machine learning, Ventilation, Computational fluid dynamics, Artificial neural networks, Simulation, Gas turbines, Acoustics, Algorithms, Explosions, Flanges
Proceedings Papers

A Machine-Learnt Wall Function for Rotating Diffusers

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Francesco Aldo Tucci
Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A010, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15353
https://doi.org/10.1115/GT2020-15353
View Paper titled, A Machine-Learnt Wall Function for Rotating Diffusers
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Topics: Diffusers, Machinery, Flow (Dynamics), Boundary layers, Machine learning, Turbomachinery, Turbulence, Computational fluid dynamics, Kinetic energy, Modeling
Proceedings Papers

Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans

Piero Danieli, Massimo Masi, Giovanni Delibra, Alessandro Corsini, Andrea Lazzaretto
Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A006, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14963
https://doi.org/10.1115/GT2020-14963
View Paper titled, Assessment of MULTALL As CFD Code for the Analysis of Tube-Axial Fans
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Topics: Axial flow, Computational fluid dynamics, Fans
Proceedings Papers

Identification of Losses in Turbomachinery With Machine Learning

Gino Angelini, Alessandro Corsini, Giovanni Delibra, Marco Giovannelli
Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A008, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15337
https://doi.org/10.1115/GT2020-15337
View Paper titled, Identification of Losses in Turbomachinery With Machine Learning
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Topics: Machine learning, Turbomachinery, Cascades (Fluid dynamics), Experimental design, Flow (Dynamics), Algorithms, Artificial neural networks, Boundary layers, Computational fluid dynamics, Design
Proceedings Papers

Machine Learnt Synthetic Turbulence for LES Inflow Conditions

Alessandro Corsini, Giovanni Delibra, Marco Giovannelli, Stefania Traldi
Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T10A009, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15338
https://doi.org/10.1115/GT2020-15338
View Paper titled, Machine Learnt Synthetic Turbulence for LES Inflow Conditions
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Topics: Inflow, Machinery, Turbulence
Journal Articles

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Gino Angelini
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. December 2020, 142(12): 121011.
Paper No: GTP-20-1311
https://doi.org/10.1115/1.4048568
Published Online: December 1, 2020
View Article titled, Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge
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Topics: Airfoils, Algorithms, Artificial neural networks, Turbulence, Cascades (Fluid dynamics), Simulation, Compressors
Proceedings Papers

Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge

Lorenzo Tieghi, Alessandro Corsini, Giovanni Delibra, Gino Angelini
Proc. ASME. GT2019, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Honors and Awards, V001T09A004, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91238
https://doi.org/10.1115/GT2019-91238
View Paper titled, Assessment of a Machine-Learnt Adaptive Wall-Function in a Compressor Cascade With Sinusoidal Leading Edge
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Topics: Cascades (Fluid dynamics), Compressors, Machinery, Artificial neural networks, Simulation, Computation, Boundary layers, Flow (Dynamics), Aerodynamic noise, Airfoils