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Article . 2012
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https://doi.org/10.1115/gt2013...
Conference object . 2013 . Peer-reviewed
Data sources: Crossref
Journal of Engineering for Gas Turbines and Power
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Quantitative Stability Analysis Using Real-Valued Frequency Response Data

Authors: Thomas Sattelmayer; Wolfgang Polifke; Ralf S. Blumenthal; Martin Schmid; Moritz Schulze;

Quantitative Stability Analysis Using Real-Valued Frequency Response Data

Abstract

Models for the analysis of thermoacoustic instabilities are conveniently formulated in the frequency domain. In this case one often faces the difficulty that the response behavior of some elements of the system is only known at real-valued frequencies, although the transfer behavior at complex-valued frequencies is required for the quantification of the growth rates of instabilities. The present paper discusses various methods for extrapolation of frequency response data at real-valued frequencies into the complex plane. Some methods have been used previously in thermoacoustic stability analysis, others are newly proposed. First the pertinent mathematical background is reviewed, then the sensitivity of predicted growth rates on the extrapolation scheme is explored. This is done by applying different methods to a simple thermoacoustic system, i.e. a ducted premixed flame, for which an analytical solution is known. A short analysis determining the region of confidence of the extrapolated transfer function is carried out to link the present study to practical applications. The present study can be seen as a practical guideline for using frequency response data collected for a set of real-valued frequencies in quantitative linear stability analysis.

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Keywords

M-Schmid+R-Blumenthal+M-Schulze, Ingenieurwissenschaften, ddc: ddc:620

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%