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• W3150385364 endingPage "116108" @default.
• W3150385364 startingPage "116108" @default.
• W3150385364 abstract "The dynamic mode decomposition (DMD) is one of the post-processing methods used in analyzing dynamic or transient flow field data from experiments or CFD analyses. This method extracts resonant frequencies, damping coefficients, and spatial structures of mode shapes without a priori physical knowledge of the specific form of structure or power spectrum density analysis. The optimized DMD method is applied to improve the accuracy of DMD results in finding the eigen-components by fitting the nonlinear dynamic system from initial eigenvalues and modes determined by applying the exact DMD. A comparison is made between the optimized DMD and the exact DMD method. Two DMD methods are applied to the numerical data calculated with a cryogenic swirl injector to show validity of their algorithms in identifying acoustic modes of a dynamic system. Compared with the exact DMD, the optimized DMD can extract feasibly the acoustic modes of the dynamic system with higher accuracy. Furthermore, the optimized DMD can find the resonant modes of the system more completely." @default.
• W3150385364 created "2021-04-13" @default.
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• W3150385364 date "2021-07-01" @default.
• W3150385364 modified "2023-09-23" @default.
• W3150385364 title "A comparative study of dynamic mode decomposition methods for mode identification in a cryogenic swirl injector" @default.
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• W3150385364 doi "https://doi.org/10.1016/j.jsv.2021.116108" @default.
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