Exploratory Data Analysis of Turbulent Flows

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, the authors use machine-learning methods such as Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD) to analyze the coherent flow structures.
Provided by: International Journal of Computer Science & Engineering Technology (IJCSET) Topic: Big Data Date Added: Aug 2012 Format: PDF

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