A hybrid approach to condition monitoring via merger of data and models, Rocky Mountain Mechanics Seminar Series

What: This seminar will be delivered via Zoom as part of the Rocky Mountain Mechanics Seminar Series by Dr. Eleni Chatzi, assistant professor in the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich. 

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 environments, 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.  

Where: Zoom at https://cuboulder.zoom.us/j/93245403903

More Information: https://www.colorado.edu/engineering/2020/10/27/rocky-mountain-mechanics-seminar-series-fall-2020  

Dial-In Information

https://cuboulder.zoom.us/j/93245403903

Friday, December 4, 2020 at 12:30pm to 1:30pm

Virtual Event
Event Type

Colloquium/Seminar

Interests

Science & Technology

Audience

Faculty, Students, Graduate Students

College, School & Unit

Engineering & Applied Science

Group
Engineering and Applied Science, Mechanical Engineering
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