21st Presentation | Augmented Twins: Physics-Enhanced Learning for Monitoring and Resilient Systems | Eleni Chatzi

21st Presentation | Augmented Twins: Physics-Enhanced Learning for Monitoring and Resilient Systems | Eleni Chatzi

NanoAI welcomes Eleni Chatzi  who will present his work, titled “Augmented Twins: Physics-Enhanced Learning for Monitoring and Resilient Systems”.

As always, an open discussion will follow.

When? December 12th, 17:45 Greece

Description:

Modern engineering systems, including critical structures and infrastructures, face challenging conditions requiring robust monitoring solutions, able to support decisions on effective operation, maintenance and life-cycle management of these systems. Structural Health Monitoring (SHM) ensures resilience by detecting, localizing, and quantifying damage while enabling performance prognosis. However, data-driven methods alone often fall short in robustly tackling advanced SHM tasks and digital twinning. This presentation introduces a physics-enhanced, augmented approach to creating closed-loop digital twins. By integrating data, physics-based models, expert insights, and ecosystem-level assessment, these twins deliver interpretable, generalizable insights into management of complex assets. The talk puts forth steppingstones toward a comprehensive approach to representing structures, as-is, forecasting their performance, and guiding proactive actions for sustainable and efficient operation.

Eleni Chatzi is a Full Professor and Chair of Structural Mechanics and Monitoring at the Institute of Structural Engineering of the Department of Civil, Environmental and Geomatic Engineering of ETH Zürich. She currently serves as the President of the European Academy of Wind Energy (EAWE). Her research interests include the fields of Structural Health Monitoring (SHM), hybrid modelling for digital twinning, and data-driven decision support for engineered systems. Her work in the domain of self-aware infrastructure was recognized with a 2016 ERC Starting Grant award, the 2020 ASCE Huber Research prize, the 2020 EASD Junior Research Prize in the area of Computational Structural Dynamics, and the 2024 SHM Person of the Year award.

Speaker links:

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You can find more info on this upcoming talk as well as on our previous talks at http://nano-ai.iit.demokritos.gr/