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physics.flu-dyn2024
Kinetic data-driven approach to turbulence subgrid modeling
Giulio Ortali, Alessandro Gabbana, Nicola Demo +2
Numerical simulations of turbulent flows are well known to pose extreme computational challenges due to the huge number of dynamical degrees of freedom required to correctly descri…
physics.flu-dyn2024
Extreme statistics and extreme events in dynamical models of turbulence
Xander M. de Wit, Giulio Ortali, Alessandro Corbetta +3
We present a study of the intermittent properties of a shell model of turbulence with unprecedented statistics, about eddy turn over time, achieved thanks to an impleme…