Abstract This article presents a proper generalized decomposition (PGD) based Padé approximant for efficient analysis of the stochastic frequency response. Due to high nonlinearity response with respect input uncertainties, classical Galerkin (SG) method utilizing polynomial chaos exhibits slow convergence near resonance. Furthermore, dimension SG is product deterministic and approximation spac...