| Autor: |
Geara Christelle, Faddoul Rafic, Chateauneuf Alaa, Raphaël Wassim |
| Jazyk: |
English<br />French |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 261, p 02005 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/201926102005 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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