Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2025
Machine-learning-assisted Blending of Data-Driven Turbulence Models
Mourad Oulghelou, Soufiane Cherroud, Xavier Merle +1
We present a machine learning-based framework for blending data-driven turbulent closures in the Reynolds-Averaged Navier-Stokes (RANS) equations, aimed at improving their generali…
physics.flu-dyn2024
Space-dependent Aggregation of Stochastic Data-driven Turbulence Models
Soufiane Cherroud, Xavier Merle, Paola Cinnella +1
A stochastic Machine-Learning approach is developed for data-driven Reynolds-Averaged Navier-Stokes (RANS) predictions of turbulent flows, with quantified model uncertainty. This i…