MATEC Web Conf.
Volume 261, 20195ième Congrès International Francophone de Mécanique Avancée (CIFMA 2018)
|Number of page(s)||3|
|Section||Design, Reliability, and Optimization|
|Published online||29 January 2019|
Bayesian updating for uncertain condition state using permanent monitoring and sequential inspections
1 ESIB, Université Saint-Joseph, Mar Roukos, PoB. 11-154, Riad El Solh, Beyrouth, Liban
2 Université Clermont Auvergne, CNRS, Institut Pascal, 63000 Clermont-Ferrand, France
3 CIDECO, 2 av. Blaise Pascal, 63178 Aubière, France
Structural Health Monitoring using permanent sensors has been a fast growing management tool during the last decade. However, till this date, the installation of sensors on every measurable feature of the structure stills prohibitory costly. In this paper, an approach is proposed for a Bayesian updating of the condition states, based on the output of the monitoring sensors. The posterior probability distribution describing the magnitude of the defect for each element is further updated by inspecting some elements in an optimal sequence. A numerical application of the proposed methodology is presented for a concrete frame structure.
© Owned by the authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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