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Modelling uncertainties based on experimental data Research at the chair is both aimed at the direct and indirect quantification of uncertainties based on experimental data. Concerning the direct identification [...] Wei, P., Song, J., Faes, M., Valdebenito, M., Beer, M. (2023). Combining Data and Physical Models for Probabilistic Analysis: A Bayesian Augmented Space Learning Perspective. Probabilistic Engineering [...] research and provide support in the areas of: Modelling uncertain quantities based on experimental data Propagating uncertainties through expensive numerical simulation models Surrogate modelling schemes …