Biography
After graduating from the University of Sannio (Benevento, IT) with a degree in Energy Engineering, Dr Tretola pursued his career in energy research, completing a Ph.D. in Mechanical Engineering at the Imperial College London. His doctoral research, titled "Large Eddy Simulation of atomisation process using the Eulerian Stochastic Fields method", focused on numerical simulations of turbulent sprays through probabilistic approaches.
Following his Ph.D., he conducted postdoctoral research at the University of Brighton, where he worked on th enumerical modelling of multiphase flow at cryogenic conditions. He then moved to Kings’ College London, where he worked on the development of advanced computational techniques to study the liquid/solid interaction.
Dr Tretola currently works as a Research Assistant at University of Oxford, working on Hydrogen Safety through computational fluid dynamic and machine learning methods.
Most Recent Publications
Impact of thermo-physical model and mixing method on the trans- and supercritical injection simulation of liquid hydrogen
Impact of thermo-physical model and mixing method on the trans- and supercritical injection simulation of liquid hydrogen
Three-component volume of fluid method coupling with interface compression method and Eulerian???Lagrangian spray atomization surface density model for prediction of cavitating sprays
Three-component volume of fluid method coupling with interface compression method and Eulerian???Lagrangian spray atomization surface density model for prediction of cavitating sprays
Machine learning assisted characterisation and prediction of droplet distributions in a liquid jet in cross-flow
Machine learning assisted characterisation and prediction of droplet distributions in a liquid jet in cross-flow
Surface tension effects on cryogenic liquid injection dynamics in supercritical environment
Surface tension effects on cryogenic liquid injection dynamics in supercritical environment
Analyzing single and multicomponent supercritical jets using volume-based and mass-based numerical approaches
Analyzing single and multicomponent supercritical jets using volume-based and mass-based numerical approaches
Research Interests
Numerical simulations of:
- hydrogen jets
- turbulent sprays
- liquid/solid interaction
- flows at supercritical conditions
Research Groups
Related Academics
Most Recent Publications
Impact of thermo-physical model and mixing method on the trans- and supercritical injection simulation of liquid hydrogen
Impact of thermo-physical model and mixing method on the trans- and supercritical injection simulation of liquid hydrogen
Three-component volume of fluid method coupling with interface compression method and Eulerian???Lagrangian spray atomization surface density model for prediction of cavitating sprays
Three-component volume of fluid method coupling with interface compression method and Eulerian???Lagrangian spray atomization surface density model for prediction of cavitating sprays
Machine learning assisted characterisation and prediction of droplet distributions in a liquid jet in cross-flow
Machine learning assisted characterisation and prediction of droplet distributions in a liquid jet in cross-flow
Surface tension effects on cryogenic liquid injection dynamics in supercritical environment
Surface tension effects on cryogenic liquid injection dynamics in supercritical environment
Analyzing single and multicomponent supercritical jets using volume-based and mass-based numerical approaches
Analyzing single and multicomponent supercritical jets using volume-based and mass-based numerical approaches
