Turbulence & Aeroacoustics Lab

Mechanisms, models and data-driven analysis of turbulent flows and flow-generated sound.

The Turbulence & Aeroacoustics Lab in the Department of Aerospace Engineering at Middle East Technical University (METU) studies how coherent structures organise turbulent flows and the sound they generate. We combine physical modelling, reduced-order analysis and data-driven methods to identify these mechanisms in measurements and simulations.

Research directions

• Turbulence and aeroacoustics: the flow structures and instability mechanisms associated with noise generation.
• Linear and resolvent-based analysis: mean-flow-based models of coherent structures in jets and wall turbulence.
• Data-driven flow analysis: modal decomposition and reduced-order models extracted from experimental and numerical data.
• Dynamical systems and learned models: delay-coordinate system identification and machine-learning corrections for simulations.

More on the Research page.

Selected publications

• Ambiguity in mean-flow-based linear analysis. Journal of Fluid Mechanics 900, R5 (2020).
• Self-similar mechanisms in wall turbulence studied using resolvent analysis. Journal of Fluid Mechanics 939, A36 (2022).
• An empirical model of noise sources in subsonic jets. Journal of Fluid Mechanics 965, A18 (2023).
• Dynamic mode decomposition using standard particle image velocimetry data. Physical Review Fluids, accepted September 2026.

Summaries and graphical abstracts: Selected Publications.

Current projects

The lab currently hosts one PhD and three MSc thesis projects, on Wiener–Hopf methods for acoustic scattering, delay-coordinate system identification, fault detection and learned corrections for coarse-grid RANS simulations. See Projects.

Principal investigator