Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification

Autor: Michaël Bauerheim, Franck Nicoud, Matthew P. Juniper, Luca Magri
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:
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