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dc.contributor.authorLydon, D
dc.contributor.authorLydon, M
dc.contributor.authorTaylor, S
dc.contributor.authorDel Rincon, JM
dc.contributor.authorHester, D
dc.contributor.authorBrownjohn, J
dc.date.accessioned2022-03-31T12:56:06Z
dc.date.issued2018-11-23
dc.date.updated2022-03-31T11:06:27Z
dc.description.abstractThis paper describes development of a contactless, low cost vision-based system for displacement measurement of civil structures. Displacement measurements provide a valuable insight into the structural condition and service behaviour of bridges under live loading. Conventional displacement gauges or GPS based systems have limitations in terms of access to the infrastructure and accuracy. The system introduced in this paper provides a low cost durable alternative which is rapidly deployable in the field and does not require direct contact or access to the infrastructure or its vicinity. A commercial action camera was modified to facilitate the use of a telescopic lens and paired with the development of robust displacement identification algorithms based on pattern matching. Performance was evaluated first in a series of controlled laboratory tests and validated against displacement measurements obtained using a fibre optic displacement gauge. The efficiency of the system for field applications was then demonstrated by capturing the validated bridge response of two structures under live loading including the iconic peace bridge. Located in the City of Derry, Northern Ireland, the Peace Bridge is a 310 m curved self-anchored suspension pedestrian bridge structure. The vision-based results of the field experiment were confirmed against displacements calculated from measured accelerations during a dynamic assessment of the structure under crowd loading. In field applications the developed system can achieve a root mean square error (RMSE) of 0.03 mm against verified measurements.en_GB
dc.format.extent343-358
dc.identifier.citationVol. 121, pp. 343-358en_GB
dc.identifier.doihttps://doi.org/10.1016/j.ymssp.2018.11.015
dc.identifier.urihttp://hdl.handle.net/10871/129225
dc.identifierORCID: 0000-0003-4946-5901 (Brownjohn, James)
dc.identifierScopusID: 57204495255 (Brownjohn, James)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2018 Elsevier Ltd. . This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectVision based displacementsen_GB
dc.subjectBridge monitoringen_GB
dc.subjectField testingen_GB
dc.titleDevelopment and field testing of a vision-based displacement system using a low cost wireless action cameraen_GB
dc.typeArticleen_GB
dc.date.available2022-03-31T12:56:06Z
dc.identifier.issn0888-3270
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this recorden_GB
dc.identifier.eissn1096-1216
dc.identifier.journalMechanical Systems and Signal Processingen_GB
dc.relation.ispartofMechanical Systems and Signal Processing, 121
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2018-11-08
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2018-11-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-03-31T12:54:07Z
refterms.versionFCDAM
refterms.dateFOA2022-03-31T12:56:13Z
refterms.panelBen_GB


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