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Exploratory Data Analysis of Turbulent Flows Using Proper Orthogonal Decomposition and Dynamic Mode Decomposition
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tirunagari, Santosh |
| Copyright Year | 2012 |
| Abstract | Abstract— Large Eddy Simulations (LES) contains 3D instantaneous velocity fields as well as passive scalar concentration field describing the coherent flow structures. The study of coherent flow structures has a major impact on the mixing of the fuel and the oxidizer. The analysis of these structures in a turbulent jet is essential in understanding the fundamentals of fluid dynamics. Therefore there is a need for methods that can identify and analyze these structures. In this paper, we use machinelearning methods such as Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) to analyze the coherent flow structures. We used 2D LES of subsonic jets as our data, with Reynolds number corresponding to Re: 6000 (low pressure) , 10,000 (medium pressure), and 13,000 (high pressure). Results for POD modes and DMD modes are discussed and compared. KeywordsPOD, DMD, Proper Orthogonal Decomposition, Dynamic Mode Decomposition, LES, Turbulence. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ijcset.com/docs/IJCSET12-03-08-027.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
