Updating of the corrosion degree based on visual data combined with strain or modal data
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Bibliographic Details
Author(s): |
Eline Vereecken
(Department of Structural Engineering and Building Materials, Ghent University, Ghent, Belgium)
Wouter Botte (Department of Structural Engineering and Building Materials, Ghent University, Ghent, Belgium) Robby Caspeele (Department of Structural Engineering and Building Materials, Ghent University, Ghent, Belgium) Geert Lombaert (Department of Civil Engineering, KU Leuven, Leuven, Belgium) |
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Medium: | conference paper | ||||
Language(s): | English | ||||
Conference: | IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021 | ||||
Published in: | IABSE Congress Ghent 2021 | ||||
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Page(s): | 1092-1101 | ||||
Total no. of pages: | 10 | ||||
DOI: | 10.2749/ghent.2021.1092 | ||||
Abstract: |
Many existing bridges are reaching the end of their technical service life. To estimate the remaining lifetime of reinforced concrete structures, it is important to assess the parameters of the corrosion process (i.e. parameters governing the corrosion propagation, but also parameters of the chloride or carbonation ingress). The level of corrosion and its spatial distribution can be inferred from strain data under static loading or modal data. In addition, information from visual inspections is often available as well, although not often used to quantify the level of corrosion. In this work, it is investigated how visual inspections can supplement the strain and/or modal data and provide information on corrosion parameters. The developed framework is applied to a simply supported beam subjected to corrosion. |
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Keywords: |
corrosion reinforced concrete Bayesian updating visual inspection modal data strain data
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Copyright: | © 2021 International Association for Bridge and Structural Engineering (IABSE) | ||||
License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |