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A Gaussian-process-based framework for high-dimensional uncertainty quantification analysis in thermoacoustic instability predictions

Shuai Guo, Camilo F. Silva, Kah Joon Yong, Wolfgang Polifke

2020Proceedings of the Combustion Institute10 citationsDOI

Topics & Concepts

ThermoacousticsNonlinear systemSurrogate modelUncertainty quantificationGaussian processMonte Carlo methodGaussianInstabilityComputer scienceApplied mathematicsPhysicsAcousticsMathematicsMechanicsMachine learningStatisticsQuantum mechanicsCombustion and flame dynamicsWind and Air Flow StudiesAdvanced Combustion Engine Technologies
A Gaussian-process-based framework for high-dimensional uncertainty quantification analysis in thermoacoustic instability predictions | Litcius