Hannover, Germany — August 21, 2024 — The Institute for Risk and Reliability hosted another successful workshop wich was titled "Recent Advancements in Uncertainty Quantification and Propagation for Engineering Structures and Systems". The event took place in the IRZ library and was also accessible online via Webex, drawing participants from around the world.
The workshop began with a warm welcome from Niklas Winnewisser of IRZ, setting the stage for a day filled with insightful presentations. Elias Rahimi from IRZ kicked off the technical sessions with a presentation on the fragility assessment of modular buildings under earthquakes, providing valuable insights into earthquake resilience.
Marius Bittner, also from IRZ, followed with a presentation on the use of a tunable shaking table for vibration experiments, highlighting its application in uncertainty quantification. Marco Behrendt from IRZ then introduced the Interval Discrete Fourier Transform Algorithm, focusing on the propagation of interval uncertainty from the time domain to the frequency domain.
After a networking lunch, Mengze Lyu from Tongji University, Shanghai, presented a dimension-reduced probability density evolution equation for high-dimensional nonlinear stochastic dynamical systems. Mauricio Alejandro Masraji Lagos from CRE, Dortmund, discussed first excursion probability sensitivity in stochastic linear dynamics using the domain decomposition method.
Nataly Alejandra Manque Roa, also from CRE, Dortmund, presented her work on isogeometric analysis for coping with geometric uncertainty in mechanical systems. Marc Fina from IBS, KIT Karlsruhe, shared insights on the applications of polymorphic uncertainty modeling in structural analysis, while Niklas Schietzold from ISD, Dresden, cautioned against the straightforward simulation of fuzzy fields with KLE when realistic auto-interaction matters.
The afternoon sessions concluded with presentations on advanced methodologies in uncertainty propagation. Vladik Kreinovich from UTEP, Texas, USA, discussed how to propagate uncertainty via AI models, followed by Thomas Potthast from IRZ, who presented on stochastic model updating through sliced normal maps. Jan Grashorn from IRZ then introduced a coupling filter for sequential state-parameter estimation, and Niklas Winnewisser closed the technical presentations with a talk on certainty in sensor-model systems (Digital Twins) and the role of virtual sensors.
The day concluded with a dinner gathering, providing an opportunity for participants to network and discuss future collaborations. This workshop is part of IRZ's ongoing commitment to advancing research and fostering knowledge exchange in the field of engineering risk and reliability. The institute looks forward to organizing more such events in the future.
