Showing physics.flu-dynShow all
3 papers · 1 filter
physics.flu-dyn2025
Implementation and verification of the resolved Reynolds stress transport equations in OpenFOAM
Mario J. Rincón, Christoffer Hansen, Martino Reclari +1
The analysis of the Reynolds Stress Transport Equation (RSTE) provides fundamental physical insights that are essential for the development and validation of advanced turbulence mo…
physics.flu-dyn2025
A generalisable data-augmented turbulence model with progressive and interpretable corrections for incompressible wall-bounded flows
Mario J. Rincón, Martino Reclari, Xiang I. A. Yang +1
The integration of interpretability and generalisability in data-driven turbulence modelling remains a fundamental challenge for computational fluid dynamics applications. This stu…
physics.flu-dyn2023
Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation
M. J. Rincón, A. Amarloo, M. Reclari +2
Generalisability and the consistency of the a posteriori results are the most critical points of view regarding data-driven turbulence models. This study presents a progressive imp…