This work shows uncertainty qualification using isogeometric analysis with boundary element methods (IGABEM) based on model order reduction. The stochastic analysis is performed with Monte-Carlo simulation (MCs). IGABEM accelerates the sampling process by conducting numerical simulation directly from computer-aided design models without meshing. The Proper Orthogonal Decomposition (POD) and Radial Basis Functions (RBF) give fast approximation of system responses.
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