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  Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behaviour

Pavithran, I., Unni, V. R., Saha, A., Varghese, A. J., Sujith, R. I., Marwan, N., Kurths, J. (2021): Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behaviour. - In: Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition (Volume 3B), New York, N.Y. : The American Society of Mechanical Engineers.
https://doi.org/10.1115/GT2021-60074

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 Creators:
Pavithran, Induja 1, Author
Unni, Vishnu R. 1, Author
Saha, Abhishek 1, Author
Varghese, Alan J. 1, 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: The complex interaction between the turbulent flow, combustion and the acoustic field in gas turbine engines often results in thermoacoustic instability that produces ruinously high-amplitude pressure oscillations. These self-sustained periodic oscillations may result in a sudden failure of engine components and associated electronics, and increased thermal and vibra-tional loads. Estimating the amplitude of the limit cycle oscillations (LCO) that are expected during thermoacoustic instability helps in devising strategies to mitigate and to limit the possible damages due to thermoacoustic instability. We propose two methodologies to estimate the amplitude using only the pressure measurements acquired during stable operation. First, we use the universal scaling relation of the amplitude of the dominant mode of oscillations with the Hurst exponent to predict the amplitude of the LCO. We also present a methodology to estimate the amplitudes of different modes of oscillations separately using ‘spectral measures’ which quantify the sharpening of peaks in the amplitude spectrum. The scaling relation enables us to predict the peak amplitude at thermoacoustic instability, given the data during the safe operating condition. The accuracy of prediction is tested for both methods, using the data acquired from a laboratory-scale turbulent combustor. The estimates are in good agreement with the actual amplitudes.

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Language(s): eng - English
 Dates: 2021-09-162021
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1115/GT2021-60074
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
 Degree: -

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Title: Proceedings of ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition (Volume 3B)
Source Genre: Book
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Publ. Info: New York, N.Y. : The American Society of Mechanical Engineers
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISBN: 978-0-7918-8495-9