Exploring epistemic quantification uncertainty in turbulent flow for multi-element aerofoils
A Sheffield Undergraduate Research Experience (SURE) project using SU2 and eigenspace perturbations to quantify turbulence-model uncertainty and identify informative locations for sensor placement.
Sep 1, 2022
DAFoam - Field Inversion and Machine Learning
My contribution to the established DAFoam framework: the original implementation of its Field Inversion and Machine Learning capability for data-driven turbulence modelling.
Jun 27, 2022