Key result
Multiscale sample entropy analysis successfully captured anisotropic directional disparity and increasing unpredictable time scales with downstream distance in turbulent soap films.
Why the study?
To assess the feasibility of using multiscale sample entropy analysis to qualitatively characterize turbulence without conventional energetic analysis.
Multiscale sample entropy analysis can be feasibly applied to characterize turbulence in fluid dynamics without conventional energetic analysis.
Promising for turbulence characterization without energetic metrics; leaves open extension to cardiovascular time series.
Multiscale sample entropy analysis has been developed to quantify the complexity and the predictability of a time series, originally developed for physiological time series. In this study, the analysis was applied to the turbulence data. We measured time series data for the velocity fluctuation, in either the longitudinal or transverse direction, of turbulent soap film flows at various locations. The research was to assess the feasibility of using the entropy analysis to qualitatively characterize turbulence, without using any conventional energetic analysis of turbulence. The study showed that the application of the entropy analysis to the turbulence data is promising. From the analysis, we successfully captured two important features of the turbulent soap films. It is indicated that the turbulence is anisotropic from the directional disparity. In addition, we observed that the most unpredictable time scale increases with the downstream distance, which is an indication of the decaying turbulence.
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Ildoo Kim (2021) studied Two-dimensional decaying turbulence. Multiscale sample entropy analysis was evaluated on Feasibility of using entropy analysis to qualitatively characterize turbulence. Multiscale sample entropy analysis successfully captured anisotropic directional disparity and increasing unpredictable time scales with downstream distance in turbulent soap films.
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