Damage detection in bridges based on patterns of dynamic amplification

DC FieldValueLanguage
dc.contributor.authorGonzález, Arturo-
dc.contributor.authorMohammed, Omar-
dc.date.accessioned2019-04-25T11:12:07Z-
dc.date.available2019-04-25T11:12:07Z-
dc.date.copyright2019 John Wiley & Sons, Ltd.en_US
dc.date.issued2019-04-24-
dc.identifier.citationStructural Control Health Monitoringen_US
dc.identifier.issn1545-2263-
dc.identifier.urihttp://hdl.handle.net/10197/10162-
dc.description.abstractThe pattern of Dynamic Amplification Factor (DAF) of the bridge strain response to a moving vehicle versus vehicle velocity is used to develop a level I damage technique. The challenge is to detect damage that causes only a small and difficult to detect frequency change with respect to the healthy condition. For this purpose, a damage index is defined based on subtracting the DAF-velocity pattern for the bridge in a prior healthy state from the DAF-velocity pattern corresponding to the damaged bridge. Simulations from a 3D vehicle-bridge interaction model are employed to show how the index increases with damage. The influence of the location of the strain sensors, the location, and severity of the damage, the road roughness, the corruption of measurements by noise, and the velocity range on the robustness of the technique are analysed. The relative changes in the proposed index as a result of damage are shown to clearly outperform the associated relative changes in frequencies, even for measurement locations far apart from the damage.en_US
dc.language.isoenen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.rightsThis is the peer reviewed version of the following article: González, A, Mohammed, O. Damage detection in bridges based on patterns of dynamic amplification. Struct Control Health Monit. 2019;e2361. https://doi.org/10.1002/stc.2361, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/stc.2361. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en_US
dc.subjectDamage identificationen_US
dc.subjectVehicle bridge interactionen_US
dc.subjectDynamic amplification factoren_US
dc.subjectBridge dynamicsen_US
dc.subjectStructural health monitoringen_US
dc.titleDamage detection in bridges based on patterns of dynamic amplificationen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotherarturo.gonzalez@ucd.ieen_US
dc.internal.webversionshttps://onlinelibrary.wiley.com/journal/15452263-
dc.statusPeer revieweden_US
dc.identifier.startpage1en_US
dc.identifier.endpage20en_US
dc.check.date2019-10-25-
dc.identifier.doi10.1002/stc.2361-
dc.neeo.contributorGonzález|Arturo|aut|-
dc.neeo.contributorMohammed|Omar|aut|-
dc.date.embargo2020-04-24en_US
dc.description.othersponsorshipAl-Anbar Universityen_US
dc.description.othersponsorshipIraqi Ministry of Higher Educationen_US
dc.description.admin12 month embargo - ACen_US
dc.description.adminUpdate citation details during checkdate report - ACen_US
dc.date.updated2019-04-25T07:11:56Z-
item.fulltextWith Fulltext-
item.grantfulltextembargo_20200424-
Appears in Collections:Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection
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