Congrats to Silvia Vettori

Congrats to Silvia Vettori, doctoral candidate at the Chair of Structural Mechanics and Monitoring at ETH Zurich, and Research Engineer at Siemens PLM Software for a phenomenal doctoral thesis defence on the topic of:

🎓 Development of virtual sensing techniques for dynamic virtualization

🎯 Silvia's work puts forth:
- A novel scheme for deterministic structuralresponse estimation from output-only data, the so-called CMS-ME approach derived from combination of modal expansion with component mode synthesis;

- an #adaptive noise tuning for Bayesian joint input-state estimation via the newly proposed A-AKF, which alleviates a main hurdle of Bayesian filtering, namely the tuning of the defining noise processes;
👉 read more in external page Volume 184 of MSSP

- a formal framework for selection of appropriate stochastic Latent Force Models for modeling the evolution of the inputs that drive a monitored system’s dynamics. This is not only important for response, but further for estimating (quantifying) the loads that act on a system;
👉 external page ISMA 2022 proceedings - preprint coming up

- Verification & Validation (V&V) of the developed methods on both illustrative examples, as well as #experimental data from systems of various scales.

Silvia's work forms part of the external page European ITN project DyVirt and was carried out under joint co-supervision with Emilio Di Lorenzo and Bart Peeters of Siemens PLM Software.

Many thanks to the further doctoral committee members, Prof. Costas Papadimitriou and Prof. David Wagg for the stimulating discussions!