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Advanced Short Course on "Identification methods for Structural Health Monitoring and Residual Lifecycle Assessment"

lne.chatzi's picture

We are pleased to announce the Advanced Short Course at the International Centre for Mechanical Sciences (CISM) on

Identification Methods for Structural Health Monitoring and Residual Lifecycle Assessment

June 3, 2013 — June 7, 2013



- Eleni Chatzi (ETH Zürich, Switzerland)
- Costas Papadimitriou (University of Thessaly (UTH), Volos, Greece)



- Siu Kui Au, City University of Hong Kong
- Eleni Chatzi, ETH Zürich, Switzerland
- Vincenzo Gattulli, University of l'Aquila
- Geert Lombaert, K.U. Leuven
- Costas Papadimitriou, University of Thessaly (UTH), Volos, Greece
- Andrew Smyth, Columbia University


The purpose of this course is firstly to provide an introduction to well known and established system identification methods on Structural Health Monitoring (SHM) and secondly to introduce more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. In addition, focus will be given on full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes. The deployments will involve monitoring of large scale landmark structures during regular operation as well as large scale systems that have undergone damage due to seismic events. As part of the more established methods, introductory concepts will be provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. The more innovative tools will include Bayesian methods and advanced modal identification techniques. Damage detection methods will be addressed as well, with a focus on inverse problem formulation within the SHM framework. The course syllabus will also involve advanced computational tools for uncertainty quantification and structural reliability in an effort to provide the link between monitoring and structural integrity assessment.

The course is addressed to doctoral and postdoctoral students, young and senior researchers, working in the fields of civil, mechanical engineering or other related disciplines.


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