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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 ...
A machine learning approach for efficient and robust resistance spot welding monitoring KU Leuven
The estimation of the weld nugget diameter generated by the resistance spot welding process is a crucial element in the assessment of the overall quality of the weld and plays a major role in in-line process control. The process is crucial to produce end-products in many industries such as aviation, aerospace, automotive and other industrial areas. A modern car body contains typically several thousands of welds produced by resistance spot ...