A Hybrid RANS-LES Dataset for Data-Driven Turbulent Mean Flow Reconstruction
Dec 3, 2024
PhD Thesis: Data-driven Augmentation of Turbulence Models for Complex Fluid Flows
Oct 17, 2024
Sensor placement for data assimilation of turbulence models using eigenspace perturbations
Jan 23, 2024
Aerodynamic Shape Optimisation Using a Machine Learning-Augmented Turbulence Model
Jan 8, 2024
A Priori Sensor Placement Strategy for Turbulent Mean Flow Reconstruction Using Parametric Model Perturbations
Jan 8, 2024
2022 UK Fluids Conference, Sheffield
Talk title: Relative importance of physical quantities for data-driven RANS-based turbulence modelling: Creating a list of ingredients for the experimental fluid dynamicist
Sep 6, 2022
Turbulent Mean Flow Reconstruction Based on Sparse Multi-sensor Data and Adjoint-based Field Inversion
Jun 20, 2022
An open-source adjoint-based field inversion tool for data-driven RANS modelling
Jun 20, 2022
MEng Thesis: Towards statistical inference to improve turbulence RANS closures for multi-element aerofoils
May 1, 2020