Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...

Audrey Gaymann earned her PhD in Aeronautics from Imperial College London, specializing in topology optimization for fluid-structure interaction. Her research focused on developing a novel solver to ...

Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing ...

Dr. Roland Platz’s research interests include state control, health and condition monitoring, and uncertainty quantification (UQ) in structural mechanical dynamic systems, such as trusses and their ...

Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...