Uncertainty quantification/propagation in nonlinear models: Robust reduction – generalized polynomial chaos
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DOI: 10.1108/ec-11-2015-0363
Abstract: 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. Design/methodology/approach The proposed metamodels… read more here.
Keywords: propagation; localized nonlinearities; uncertainty; generalized polynomial ... See more keywords