Uncertainty quantification of combustion noise by generalized polynomial chaos and state-space models

Many physical systems are subject to uncertainty in operating regimes, boundary conditions, and physical parameter values. The generalized polynomial chaos (gPC) framework offers methods to represent and propagate uncertainties through the governing equations by means of spectral expansions in random space. The present study combines intrusive gPC with a state-space thermoacoustic model to account for uncertainties in combustion noise prediction...