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contributor authorPavithran, Induja
contributor authorUnni, Vishnu R.
contributor authorSaha, Abhishek
contributor authorVarghese, Alan J.
contributor authorSujith, R. I.
contributor authorMarwan, Norbert
contributor authorKurths, Jürgen
date accessioned2022-02-06T05:32:24Z
date available2022-02-06T05:32:24Z
date copyright10/4/2021 12:00:00 AM
date issued2021
identifier issn0742-4795
identifier othergtp_143_12_121005.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278243
description abstractThe 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.
publisherThe American Society of Mechanical Engineers (ASME)
titlePredicting the Amplitude of Thermoacoustic Instability Using Universal Scaling Behavior
typeJournal Paper
journal volume143
journal issue12
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4052059
journal fristpage0121005-1
journal lastpage0121005-9
page9
treeJournal of Engineering for Gas Turbines and Power:;2021:;volume( 143 ):;issue: 012
contenttypeFulltext


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