Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s13349-020-00461-w.pdf
Reference48 articles.
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2. Cury A, Crémona C (2012) Assignment of structural behaviours in long-term monitoring: Application to a strengthened railway bridge. Struct Health Monit 11(4):422–441. https://doi.org/10.1177/1475921711434858
3. Meixedo A, Goncalves A, Calcada R, Gabriel J, Fonseca H, Martins R (2016) On-line monitoring system for tracks. In: 2015 3rd experiment international conference (exp.at’15): online experimentation, article no 7463240, pp 133–134. https://doi.org/10.1109/EXPAT.2015.7463240
4. Gonzalez I, Karoumi R (2015) BWIM aided damage detection in bridges using machine learning. J Civil Struct Health Monit 5(5):715–725. https://doi.org/10.1007/s13349-015-0137-4
5. Nishio M, Marin J, Fujino Y (2012) Uncertainty quantification of the finite element model of existing bridges for dynamic analysis. J Civil Struct Health Monit 2:163–173. https://doi.org/10.1007/s13349-012-0026-z
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