Exploratory Data Analysis of The KelvinHelmholtz instability in Jets
Computational Engineering, Finance, and Science
2015-03-29 v1 Fluid Dynamics
Abstract
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.
Cite
@article{arxiv.1503.06331,
title = {Exploratory Data Analysis of The KelvinHelmholtz instability in Jets},
author = {Santosh Tirunagari},
journal= {arXiv preprint arXiv:1503.06331},
year = {2015}
}