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contributor authorMerk, Malte
contributor authorSilva, Camilo
contributor authorPolifke, Wolfgang
contributor authorGaudron, Renaud
contributor authorGatti, Marco
contributor authorMirat, Clément
contributor authorSchuller, Thierry
date accessioned2019-03-17T10:53:26Z
date available2019-03-17T10:53:26Z
date copyright11/14/2018 12:00:00 AM
date issued2019
identifier issn0742-4795
identifier othergtp_141_02_021035.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256359
description abstractThis study assesses and compares two alternative approaches to determine the acoustic scattering matrix of a premixed turbulent swirl combustor: (1) The acoustic scattering matrix coefficients are obtained directly from a compressible large eddy simulation (LES). Specifically, the incoming and outgoing characteristic waves f and g extracted from the LES are used to determine the respective transmission and reflection coefficients via System Identification (SI) techniques. (2) The flame transfer function (FTF) is identified from LES time series data of upstream velocity and heat release rate. The transfer matrix of the reactive combustor is then derived by combining the FTF with the Rankine–Hugoniot (RH) relations across a compact heat source and a transfer matrix of the cold combustor, which is deduced from a linear network model. Linear algebraic transformation of the transfer matrix consequently yields the combustor scattering matrix. In a cross-comparison study that includes comprehensive experimental data, it is shown that both approaches successfully predict the scattering matrix of the reactive turbulent swirl combustor.
publisherThe American Society of Mechanical Engineers (ASME)
titleDirect Assessment of the Acoustic Scattering Matrix of a Turbulent Swirl Combustor by Combining System Identification, Large Eddy Simulation and Analytical Approaches
typeJournal Paper
journal volume141
journal issue2
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4040731
journal fristpage21035
journal lastpage021035-9
treeJournal of Engineering for Gas Turbines and Power:;2019:;volume( 141 ):;issue: 002
contenttypeFulltext


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