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dc.contributor.authorFaulkner, K
dc.contributor.authorBrownjohn, JMW
dc.contributor.authorWang, Y
dc.contributor.authorHuseynov, F
dc.date.accessioned2020-09-30T15:23:15Z
dc.date.issued2020-04-29
dc.description.abstractThe resilience of the built environment to extreme weather events is fundamental for the day-to-day operation of our transport network, with scour representing one of the biggest threats to bridges built over flowing water. Condition monitoring of the bridge using a structural health monitoring system enhances resilience by reducing the time needed to return the bridge to normal use by providing timely information on structural condition and safety. The work presented in this report discusses use of rotational measurements in structural health monitoring. Traditionally tiltmeters (which can be a form of DC accelerometer) are used to measure rotation but are known to be affected by dynamic movements, while gyroscopes react quickly to dynamic motion but drift over time. This review will introduce gyroscopes as a complementary sensor for accelerometer rotational measurements and use sensor fusion techniques to combine the measurements from both sensors to get an optimised rotational result. This method was trialled on a laboratory scaled model, before the system was installed on an in-service single-span skewed railway bridge. The rotational measurements were compared against rotation measurements obtained using a vision-based measurement system to confirm the validity of the results. An introduction to gyroscopes, field test measurement results with the sensors and their correlation with the vision-based measurement results are presented in this article.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationVol. 10, pp. 543 - 555en_GB
dc.identifier.doi10.1007/s13349-020-00400-9
dc.identifier.grantnumberEP/N017897/1en_GB
dc.identifier.grantnumberEP/ N017803en_GB
dc.identifier.urihttp://hdl.handle.net/10871/123043
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rights© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.subjectStructural health monitoringen_GB
dc.subjectBridgesen_GB
dc.subjectRotationen_GB
dc.subjectGyroscopesen_GB
dc.subjectIMUen_GB
dc.subjectSensor fusionen_GB
dc.titleTracking bridge tilt behaviour using sensor fusion techniquesen_GB
dc.typeArticleen_GB
dc.date.available2020-09-30T15:23:15Z
dc.identifier.issn2190-5452
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.identifier.journalJournal of Civil Structural Health Monitoringen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-04-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-04-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-09-30T15:20:56Z
refterms.versionFCDVoR
refterms.dateFOA2020-09-30T15:23:19Z
refterms.panelBen_GB
refterms.depositExceptionpublishedGoldOA


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© The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long
as you give appropriate credit to the original author(s) and the source,
provide a link to the Creative Commons licence, and indicate if changes
were made. The images or other third party material in this article are
included in the article’s Creative Commons licence, unless indicated
otherwise in a credit line to the material. If material is not included in
the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will
need to obtain permission directly from the copyright holder. To view a
copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2020. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.