System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges

dc.contributor.authorCivera, Marco
dc.contributor.authorCalamai, Giulia
dc.contributor.authorZanotti Fragonara, Luca
dc.date.accessioned2021-02-10T15:49:15Z
dc.date.available2021-02-10T15:49:15Z
dc.date.issued2021-01-23
dc.description.abstractThe increasingly request for the maintenance of the architectural heritage has led in the last decades to the extensive use of System Identification (SI) techniques for Structural Health Monitoring (SHM) purposes. These proved to be useful tools for assessing the state of conservation of the built environment and its behaviour in operating conditions. In particular, historical masonry structures and infrastructures present several compelling difficulties. Masonry is non-linear and its mechanical properties are uncertain due to the presence of local irregularities and its internal texture. Moreover, centuries-old buildings are severely affected by deterioration, eventual restoration interventions, and exposure to weather conditions. In this work, the Fast Relaxed Vector Fitting (FRVF) approach is proposed as a rapid, efficient, and reliable instrument for the vibration-based SI of such structures. The method is preliminarily validated on simple numerical examples and a multi-damaged cantilevered box beam, then tested on a true 1:2 scaled model of a masonry two-span arch bridge. The results match well the estimations from other well-established SI techniques, such as the Eigensystem Realization Algorithm (ERA), and can be utilised for damage assessment (with all the standard advantages and limitations of modal-based outlier detection). Stabilisation diagrams and frequency-damping plots are also proposed for FRVF.en_UK
dc.identifier.citationCivera M, Calamai G, Zanotti Fragonara L. (2021) System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges. Structures, Volume 30, April 2021, pp. 277-293en_UK
dc.identifier.issn2352-0124
dc.identifier.urihttps://doi.org/10.1016/j.istruc.2020.12.073
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16331
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMasonry bridgesen_UK
dc.subjectBridge monitoringen_UK
dc.subjectArchitectural heritageen_UK
dc.subjectStructural health monitoringen_UK
dc.subjectSystem identificationen_UK
dc.subjectExperimental modal analysisen_UK
dc.subjectNon-destructive testingen_UK
dc.subjectStabilization diagramen_UK
dc.titleSystem identification via fast relaxed vector fitting for the structural health monitoring of masonry bridgesen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
health_monitoring_of_masonry_bridges-2021.pdf
Size:
2.77 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description: