Sökning: "uncertainty quantification"
Visar resultat 6 - 10 av 83 avhandlingar innehållade orden uncertainty quantification.
6. Identification and synthesis of components for uncertainty propagation
Sammanfattning : For automotive structures, built-up of hundreds of components with property spread, knowing the effects of component variability and its propagation through the system assembly is important in order to mitigate noise and vibration problems. To increase the understanding of how the spread propagates into variability in built-up structures, both experimental and computational aspects are considered in this thesis. LÄS MER
7. Uncertainty and Robustness in Aerospace Structures
Sammanfattning : Engineering is not an exact science. In fact, all engineering activity contain some degree of assumption, simplification, idealization, and abstraction. When engineered creations meet reality, every manufactured product behaves differently. This variation can be detrimental to product quality and functionality. LÄS MER
8. Application of Uncertainty Quantification Techniques to Studies of Wall-Bounded Turbulent Flows
Sammanfattning : Wall-bounded turbulent flows occur in many engineering applications. The quantities of interest (QoIs) of these flows can be accurately obtained through experimental measurements and scale-resolving numerical approaches, such as large eddy simulation (LES). LÄS MER
9. Nuclear data uncertainty quantification and data assimilation for a lead-cooled fast reactor : Using integral experiments for improved accuracy
Sammanfattning : For the successful deployment of advanced nuclear systems and optimization of current reactor designs, high quality nuclear data are required. Before nuclear data can be used in applications they must first be evaluated, tested and validated against a set of integral experiments, and then converted into formats usable for applications. LÄS MER
10. Trustworthy explanations : Improved decision support through well-calibrated uncertainty quantification
Sammanfattning : The use of Artificial Intelligence (AI) has transformed fields like disease diagnosis and defence. Utilising sophisticated Machine Learning (ML) models, AI predicts future events based on historical data, introducing complexity that challenges understanding and decision-making. LÄS MER