[HTML][HTML] Constrained re-calibration of two-equation Reynolds-averaged Navier–Stokes models
Abstract Machine-learned augmentations to turbulence models can be advantageous for
flows within the training dataset but can often cause harm outside. This lack of …
flows within the training dataset but can often cause harm outside. This lack of …
Exploring the Potential and the Practical Usability of a Machine Learning Approach for Improving Wall Friction Predictions of RANS Wall Functions in Non-equilibrium …
E Rondeaux, A Poubeau, C Angelberger… - Flow, Turbulence and …, 2024 - Springer
A data-driven wall function estimation approach is proposed, aimed at accounting for non-
equilibrium effects in turbulent boundary layers in RANS simulations of wall bounded flows …
equilibrium effects in turbulent boundary layers in RANS simulations of wall bounded flows …