Search Results for author: Paola Cinnella

Found 2 papers, 2 papers with code

AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions

3 code implementations15 Dec 2022 Florent Bonnet, Ahmed Jocelyn Mazari, Paola Cinnella, Patrick Gallinari

Surrogate models are necessary to optimize meaningful quantities in physical dynamics as their recursive numerical resolutions are often prohibitively expensive.

Quantification of Model Uncertainty in RANS Simulations: A Review

1 code implementation27 Jun 2018 Heng Xiao, Paola Cinnella

In computational fluid dynamics simulations of industrial flows, models based on the Reynolds-averaged Navier--Stokes (RANS) equations are expected to play an important role in decades to come.

Fluid Dynamics Computational Physics

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