Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling 
Behavior

Pavithran, Induja; Unni, Vishnu R.; Saha, Abhishek; Varghese, Alan J.; Sujith, R. I.; Marwan, Norbert; Kurths, Jürgen

doi:10.1115/1.4052059

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Predicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behavior

Authors

Pavithran, Induja
External Organizations;

Unni, Vishnu R.
External Organizations;

Saha, Abhishek
External Organizations;

Varghese, Alan J.
External Organizations;

Sujith, R. I.
External Organizations;

/persons/resource/Marwan

Marwan, Norbert
Potsdam Institute for Climate Impact Research;

/persons/resource/Juergen.Kurths

Kurths, Jürgen
Potsdam Institute for Climate Impact Research;

URL

There are no locators available

フルテキスト (公開)

There are no public fulltexts stored in PIKpublic

付随資料 (公開)

There is no public supplementary material available

引用

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 Behavior. Journal of Engineering for Gas Turbines and Power, 143(12):. doi:10.1115/1.4052059.

引用: https://publications.pik-potsdam.de/pubman/item/item_26462

要旨

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 vibrational loads. Estimating the amplitude of the limit cycle oscillations 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 limit cycle oscillations. 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.