2 papers
physics.flu-dyn2025
Cost-effective multi-fidelity strategy for the optimization of high-Reynolds number turbine flows guided by LES
Camille Matar, Paola Cinnella, Xavier Gloerfelt
A cost-effective multi-objective shape optimization strategy is proposed for high-Reynolds number flows involving complex phenomena such as boundary layer transition, shock-wave in…
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…