SwissMech Webinar -- Eleni Chatzi -- On the coalescence of structural mechanics models with data for condition monitoring

 
CityZurich, Zurich region, Switzerland
CategoryMechanical Engineering
Date Thursday, -

SwissMech Webinar -- Eleni Chatzi -- On the coalescence of structural mechanics models with data for condition monitoring

SwissMech Seminars is a monthly webinar series taking place at 12:15pm on the second Thursday of each month of the academic year. The talks are organized jointly by ETH Zürich and EPFL Lausanne. The speakers cover theoretical, computational and experimental aspects of solid and fluid mechanics in the broadest sense. See swissmechseminars.ch for more detail.

Abstract: The monitoring of the condition of structural systems operating under diverse dynamic loads involves the tasks of simulation (forward engineering), identification (inverse engineering) and maintenance/control actions. The efficient and successful implementation of these tasks is however non-trivial, due to the ever-changing nature of these systems, the variability in their interactive environment, and the polymorphic uncertainties involved. Structural Health Monitoring (SHM) attempts to tackle these challenges by exploiting information stemming from sensor networks. SHM comprises a hierarchy across levels of increasing complexity aiming to i) detect damage, ii) localize and iii) quantify damage, and iv) finally offer a prognosis over the system’s residual life.

When considering higher levels in this hierarchy, including damage assessment and even performance prognosis, purely data-driven methods are found to be lacking. For higher-level SHM tasks, or for furnishing a digital twin of a monitored structure, it is necessary to integrate the knowledge stemming from physics-based representations, relying on the underlying mechanics. This talk discusses implementation of such a hybrid approach to SHM for tackling the aforementioned challenges. Among other topics, we will discuss the potential and limitations of purely data-driven schemes, and the benefits stemming from infusion of data with reduced order structural mechanics models, in support of diagnostics and prognostics for engineered systems.

Prof. Dr. Eleni Chatzi
Referent/-in
ETH Zürich, Structural Mechanics and Monitoring

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