Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968014 | Journal of Computational Physics | 2016 | 11 Pages |
Abstract
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 as much as the Monte Carlo samples.
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Authors
Luca Magri, Michael Bauerheim, Franck Nicoud, Matthew P. Juniper,