Research at
GaziLab.
We investigate turbulent flows through experiments, physical modelling and data-driven methods.
Turbulence & shear flows
We study the structure, dynamics and transport processes of turbulent boundary layers and other complex shear flows. Our work spans a broad range of Reynolds numbers and focuses on connecting large-scale motions with near-wall physics.
- Turbulent boundary layers
- Coherent structures and large-scale motions
- Skin-friction drag and momentum transfer
- Statistics, spectra and reduced-order representations
Active flow control
Active manipulation of the near-wall flow offers a route to changing skin friction and aerodynamic performance. We investigate uniform wall-normal blowing, micro-blowing and the resulting modification of turbulent structures.
- Uniform wall-normal blowing
- Micro-blowing and porous surfaces
- Drag reduction mechanisms
- Flow-control parameterisation
Experimental measurements
High-fidelity measurements are central to our research. We combine optical and hot-wire techniques to obtain spatially and temporally resolved information about turbulent flows.
- PIV / TR-PIV / SPIV
- Helium-Filled Soap Bubbles (HFSB)
- Shake-The-Box (STB)
- HWA and LDA
AI & data-driven methods
We use machine learning and reduced-order methods to reconstruct, predict and interpret experimental flow data while retaining physical constraints and meaningful flow structure.
- Physics-Informed Neural Networks
- Proper Orthogonal Decomposition
- Data reconstruction and denoising
- Machine-learning-based prediction