Show simple item record

dc.contributor.authorMensah, GA
dc.contributor.authorMagri, L
dc.contributor.authorMoeck, JP
dc.date.accessioned2018-11-07T00:30:55Z
dc.date.available2018-11-07T00:30:55Z
dc.date.issued2018-06-01
dc.identifier.issn0742-4795
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284698
dc.description.abstract© 2018 by ASME. Thermoacoustic instabilities are a major threat for modern gas turbines. Frequency-domain-based stability methods, such as network models and Helmholtz solvers, are common design tools because they are fast compared to compressible flow computations. They result in an eigenvalue problem, which is nonlinear with respect to the eigenvalue. Thus, the influence of the relevant parameters on mode stability is only given implicitly. Small changes in some model parameters, may have a great impact on stability. The assessment of how parameter uncertainties propagate to system stability is therefore crucial for safe gas turbine operation. This question is addressed by uncertainty quantification. A common strategy for uncertainty quantification in thermoacoustics is risk factor analysis. One general challenge regarding uncertainty quantification is the sheer number of uncertain parameter combinations to be quantified. For instance, uncertain parameters in an annular combustor might be the equivalence ratio, convection times, geometrical parameters, boundary impedances, flame response model parameters, etc. A new and fast way to obtain algebraic parameter models in order to tackle the implicit nature of the problem is using adjoint perturbation theory. This paper aims to further utilize adjoint methods for the quantification of uncertainties. This analytical method avoids the usual random Monte Carlo (MC) simulations, making it particularly attractive for industrial purposes. Using network models and the open-source Helmholtz solver PyHoltz, it is also discussed how to apply the method with standard modeling techniques. The theory is exemplified based on a simple ducted flame and a combustor of EM2C laboratory for which experimental data are available.
dc.publisherASME International
dc.titleMethods for the Calculation of Thermoacoustic Stability Boundaries and Monte Carlo-Free Uncertainty Quantification
dc.typeArticle
prism.issueIdentifier6
prism.publicationDate2018
prism.publicationNameJournal of Engineering for Gas Turbines and Power
prism.volume140
dc.identifier.doi10.17863/CAM.32071
dcterms.dateAccepted2017-12-01
rioxxterms.versionofrecord10.1115/1.4038156
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-06-01
dc.contributor.orcidMagri, Luca [0000-0002-0657-2611]
dc.identifier.eissn1528-8919
rioxxterms.typeJournal Article/Review
pubs.funder-project-idRoyal Academy of Engineering (RAEng)
cam.issuedOnline2018-01-17
rioxxterms.freetoread.startdate2019-06-01


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record