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Surrogates for combustion instabilities in annularcombustors

Authors :
Michaël Bauerheim
Aissatou Ndiaye
Franck Nicoud
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
CERFACS
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)
Institut Montpelliérain Alexander Grothendieck (IMAG)
Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Charles Hirsch
Dirk Wunsch
Jacek Szumbarski
Łukasz Łaniewski-Wołłk
Jordi Pons-Prats
Source :
Uncertainty Management for Robust Industrial Design in Aeronautics, Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk, Jordi Pons-Prats. Uncertainty Management for Robust Industrial Design in Aeronautics, 199, Springer International Publishing AG, part of Springer Nature, pp.247-263, 2019, Springer Proceedings in Mathematics & Statistics, 978-3-319-57396-0. ⟨10.1007/978-3-319-77767-2_15⟩, Uncertainty Management for Robust Industrial Design in Aeronautics ISBN: 9783319777665
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; While the computational power is still increasing, thus arousing theinterest for high-fidelity simulations, the need of low-order models is also feltto both predict and understand combustion instabilities at low costs. Historicallyapplied to simple systems like longitudinal Rijke tubes to unveil the driven mechanismsleading to instability, they have recently been adapted to more complexconfigurations such as annular combustors. A network model is presented here topredict thermo-acoustic modes in an annular combustion chamber fed by burnersconnected to an annular plenum, typical of modern combustor designs. Explicitexpressions of the growth rate are derived in several cases showing key parameterscontrolling the stability. In more general situations, no explicit solution canbe obtained. Nevertheless, such an analytical model can be solved numerically atlow-cost compared with 3D acoustic tools and high-fidelity simulations. In thisframework, efficient sensitivity techniques and UQ methods can be developed totackle the UQ problem: “How can we assess the risk of instability in industrialcombustors at the predesign stage?”.

Details

Language :
English
ISBN :
978-3-319-57396-0
978-3-319-77766-5
ISBNs :
9783319573960 and 9783319777665
Database :
OpenAIRE
Journal :
Uncertainty Management for Robust Industrial Design in Aeronautics, Charles Hirsch, Dirk Wunsch, Jacek Szumbarski, Łukasz Łaniewski-Wołłk, Jordi Pons-Prats. Uncertainty Management for Robust Industrial Design in Aeronautics, 199, Springer International Publishing AG, part of Springer Nature, pp.247-263, 2019, Springer Proceedings in Mathematics & Statistics, 978-3-319-57396-0. ⟨10.1007/978-3-319-77767-2_15⟩, Uncertainty Management for Robust Industrial Design in Aeronautics ISBN: 9783319777665
Accession number :
edsair.doi.dedup.....3353cd0bf08447f6a58252d734dbfd11