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The impact of micro- and mesoscale spatial variability on composite pressure vessel failure KU Leuven
Interval Reduced Order Surrogate Modelling Framework for Uncertainty Quantification KU Leuven
Surrogate models are widely used in the engineering community to approximate costly and large evaluation processes, such as difficult experiments or expensive simulations. This paper presents a non-intrusive framework for epistemic surrogate modelling, which is based on proper orthogonal decomposition (POD) and polynomial chaos expansion (PCE) for interval observations. In physical systems modelling, it is important to consider both aleatoric ...