The lab studies instability, coherent structures and their role in turbulent flows and aeroacoustic sound generation. A central aim is to connect measurable flow patterns to the physical processes that sustain them, and to build models that are compact enough to interpret.
Research themes
Turbulence and aeroacoustics
Identifying the flow structures and instability mechanisms associated with noise generation, including the small, acoustically efficient part of turbulent jet fluctuations.
Linear and resolvent-based analysis
Using mean-flow-based linear operators to model coherent structures in turbulent jets and wall-bounded flows, and examining the assumptions on which such models rest.
Data-driven analysis of flow dynamics
Developing and applying modal methods that extract interpretable dynamics from experimental and numerical data, including data that are not time-resolved.
Dynamical systems and learned models
Identifying reduced dynamical models from observations using delay coordinates, and learning corrections that make inexpensive simulations more useful.
Methods
Our work brings together particle image and particle tracking velocimetry, direct and large-eddy numerical simulation, and reduced-order analysis. Methods include proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), spectral POD (SPOD), resolvent analysis, Wiener–Hopf techniques and delay-coordinate embedding.
See Selected Publications for representative papers and Projects for ongoing thesis work.