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ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
DATA-BASED MODAL DECOMPOSITION OF OSCILLATORY METHANE JET DIFFUSION FLAMES
Submission Author:
Fernanda Spilotros Costa Cordeiro , RJ
Co-Authors:
Fernanda Spilotros Costa Cordeiro, Leonardo Santos de Brito Alves, Luiz Nunes, Juan Carlos Assis da Silva
Presenter: Juan Carlos Assis da Silva
doi://10.26678/ABCM.ENCIT2022.CIT22-0074
Abstract
Modal decomposition is widely used to characterize disturbance behavior in unstable dynamical systems. Most of these techniques are based on the singular value decomposition (SVD), since it provides a systematic way to generate an accurate low-dimensional approximation of a high-dimensional data set. Different modal decompositions are compared in the present paper, as they are applied to identify dominant oscillatory disturbances in methane jet diffusion flames. The techniques evaluated here are proper orthogonal decomposition (POD) and dynamic modal decomposition (DMD).
Keywords
modal decomposition, Singular Value Decomposition, low-dimensional approximation, Proper Orthogonal Decomposition, Dynamic Modal Decomposition
