Uncertainty quantification/propagation in nonlinear models Robust reduction - generalized polynomial chaos

摘要

Purpose - The purpose of this paper is to develop robust metamodels, which allow propagating parametric uncertainties, in the presence of localized nonlinearities, with reduced cost and without significant loss of accuracy.