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Wireless-based identification and model updating of a skewed highway bridge for structural health monitoring

Articolo
Data di Pubblicazione:
2020
Citazione:
Wireless-based identification and model updating of a skewed highway bridge for structural health monitoring / He, L.; Reynders, E.; Garcia-Palacios, J. H.; Marano, G. C.; Briseghella, B.; De Roeck, G.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 10:7(2020), pp. 2347-N/A. [10.3390/app10072347]
Abstract:
Vibration-based monitoring was performed on a short-span skewed highway bridge on the basis of wireless measurements. By means of operational modal analysis, highly accurate modal results (frequencies and mode shapes) were extracted by using a self-developed wireless acquisition system, for which the performance was verified in the field. In order to reproduce the experimental modal characteristics, a refined finite element model was manually tuned to reduce the idealization errors and then updated with the sensitivity method to reduce the parametric errors. It was found that to build a reliable Finite element (FE) model for application in structural health monitoring, the effects of superelevation and boundary conditions of a skewed bridge should be taken into account carefully.
Tipologia CRIS:
Articolo su rivista
Keywords:
Bridge dynamics; Operational modal analysis; Skewed bridge; Superelevation; Vibration-based monitoring; Wireless sensors
Elenco autori:
He, L.; Reynders, E.; Garcia-Palacios, J. H.; Marano, G. C.; Briseghella, B.; De Roeck, G.
Autori di Ateneo:
BRISEGHELLA BRUNO
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1287444
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1287444/443644/applsci-10-02347.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
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