Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification
Autor: | Michaël Bauerheim, Franck Nicoud, Matthew P. Juniper, Luca Magri |
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Přispěvatelé: | Magri, Luca [0000-0002-0657-2611], Juniper, Matthew [0000-0002-8742-9541], Apollo - University of Cambridge Repository, Center for Turbulence Research [Stanford] (CTR), Stanford University, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), CERFACS, Institut Montpelliérain Alexander Grothendieck (IMAG), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Department of Engineering [Cambridge], University of Cambridge [UK] (CAM), Centre National de la Recherche Scientifique - CNRS (FRANCE), University of Cambridge (UNITED KINGDOM), Stanford University (USA), Eidgenössische Technische Hochschule Zürich - ETHZ (SWITZERLAND), Université de Montpellier (FRANCE), Combustion and Acoustics for Power and Propulsion Systems Laboratory - CAPS (Zürich, Switzerland) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Identification methods
Thermo-acoustic stability Physics and Astronomy (miscellaneous) Mécanique des fluides Monte Carlo method FOS: Physical sciences 010103 numerical & computational mathematics 01 natural sciences Stability (probability) 010305 fluids & plasmas Control theory 0103 physical sciences Adjoint methods Applied mathematics 0101 mathematics Uncertainty quantification Mathematics Numerical Analysis Applied Mathematics Fluid Dynamics (physics.flu-dyn) Risk factor (finance) Physics - Fluid Dynamics [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Computer Science Applications Computational Mathematics Nonlinear system Modeling and Simulation Combustor Annular combustors Subspace topology |
Zdroj: | Journal of Computational Physics Journal of Computational Physics, Elsevier, 2016, 325, pp.411-421. ⟨10.1016/j.jcp.2016.08.043⟩ |
ISSN: | 0021-9991 1090-2716 |
DOI: | 10.1016/j.jcp.2016.08.043⟩ |
Popis: | Monte Carlo and Active Subspace Identification methods are combined with first- and second-order adjoint sensitivities to perform (forward) uncertainty quantification analysis of the thermo-acoustic stability of two annular combustor configurations. This method is applied to evaluate the risk factor, i.e., the probability for the system to be unstable. It is shown that the adjoint approach reduces the number of nonlinear-eigenproblem calculations by up to $\sim\mathcal{O}(M)$, as many as the Monte Carlo samples. European Research Council (Project ALORS 2590620), Royal Academy of Engineering (Research Fellowships Scheme) |
Databáze: | OpenAIRE |
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