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  Suppression of thermoacoustic instability by targeting the hubs of the turbulent networks in a bluff body stabilized combustor

Krishnan, A., Sujith, R. I., Marwan, N., Kurths, J. (2021): Suppression of thermoacoustic instability by targeting the hubs of the turbulent networks in a bluff body stabilized combustor. - Journal of Fluid Mechanics, 916, A20.
https://doi.org/10.1017/jfm.2021.166

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 Creators:
Krishnan, Abin1, Author
Sujith, R. I.1, Author
Marwan, Norbert2, Author              
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: In the present study, we quantify the vorticity interactions in a bluff body stabilized turbulent combustor during the transition from combustion noise to thermoacoustic instability via intermittency using complex networks. To that end, we perform simultaneous acoustic pressure, high-speed particle image velocimetry (PIV) and high-speed chemiluminescence measurements during the occurrence of combustion noise, intermittency and thermoacoustic instability. Based on the Biot–Savart law, we construct time-varying weighted spatial networks from the flow fields during these different regimes of combustor operation. We uncover that the turbulent networks display weighted scale-free behaviour intermittently during the different regimes of combustor operation, with the strong vortical structures acting as the hubs. Further, we discover two optimal locations for injecting steady air jets to successfully suppress the thermoacoustic oscillations. The amplitude of the acoustic pressure fluctuations of the suppressed state is comparable to that during the occurrence of combustion noise. However, the weighted scale-free network topology during the suppressed state is not as dominant as compared with the state of combustion noise.

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 Dates: 2021-04-132021-06-10
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1017/jfm.2021.166
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
 Degree: -

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Title: Journal of Fluid Mechanics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 916 Sequence Number: A20 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/20171213
Publisher: Cambridge University Press