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.
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), p. 2347.
|Titolo:||Wireless-based identification and model updating of a skewed highway bridge for structural health monitoring|
|Data di pubblicazione:||2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.3390/app10072347|
|Appare nelle tipologie:||1.1 Articolo in rivista|