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  Universality in the emergence of oscillatory instabilities in turbulent flows

Pavithran, I., Unni, V. R., Varghese, A. J., Sujith, R. I., Saha, A., Marwan, N., Kurths, J. (2020): Universality in the emergence of oscillatory instabilities in turbulent flows. - EPL (Europhysics Letters), 129, 2, 24004.
https://doi.org/10.1209/0295-5075/129/24004

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_23938 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_23938_6
Genre: Zeitschriftenartikel

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Pavithran, I.1, Autor
Unni, V. R.1, Autor
Varghese, A. J.1, Autor
Sujith, R. I.1, Autor
Saha, A.1, Autor
Marwan, Norbert2, Autor              
Kurths, Jürgen2, Autor              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Self-organization driven by feedback between subsystems is ubiquitous in turbulent fluid mechanical systems. This self-organization manifests as emergence of oscillatory instabilities and is often studied in different system-specific frameworks. We uncover the existence of a universal scaling behaviour during self-organization in turbulent flows leading to oscillatory instability. Our experiments show that the spectral amplitude of the dominant mode of oscillations scales with the Hurst exponent of a fluctuating state variable following an inverse power law relation. Interestingly, we observe the same power law behaviour with a constant exponent near –2 across various turbulent systems such as aeroacoustic, thermoacoustic and aeroelastic systems.

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Sprache(n): eng - Englisch
 Datum: 20202020
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1209/0295-5075/129/24004
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8986
MDB-ID: No data to archive
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Development of advanced time series analysis techniques
Working Group: Network- and machine-learning-based prediction of extreme events
 Art des Abschluß: -

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Titel: EPL (Europhysics Letters)
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 129 (2) Artikelnummer: 24004 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals132
Publisher: IOP Publishing