2015/03/21 by Santosh Tirunagari, Tirunagari, Santosh
Engineering · #Aerodynamics and Acoustics in Jet Flows #Computational Engineering #Computational Fluid Dynamics and Aerodynamics #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #and Science (cs.CE)
paper · pdf · doi:10.48550/arxiv.1503.06331
openalex publication_date 2015/03/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The KelvinHelmholtz (KH) instability is a fundamental wave instability that is frequently observed in all kinds of shear layer (jets, wakes, atmospheric air currents etc). The study of KH-instability, coherent flow structures has a major impact in understanding the fundamentals of fluid dynamics. Therefore there is a need for methods that can identify and analyse these structures. In this Final assignment, we use machine-learning methods such as Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) to analyse the coherent flow structures. We used a 2D co-axial jet as our data, with Reynolds number corresponding to Re: 10,000. Results for POD modes and DMD modes are discussed and compared.