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Surrogates for combustion instabilities in annularcombustors
- 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?”.
- Subjects :
- UQ
adjoint
Computer science
010103 numerical & computational mathematics
Mechanics
Combustion
01 natural sciences
Plenum space
Instability
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
010305 fluids & plasmas
Power (physics)
surrogate models
0103 physical sciences
Combustor
analytical expressions
annular combustors
Sensitivity (control systems)
0101 mathematics
Combustion chamber
Network model
Subjects
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