Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29934
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dc.contributor.authorYang, Y-
dc.contributor.authorZhu, Y-
dc.contributor.authorWang, LL-
dc.contributor.authorJia, BY-
dc.contributor.authorJin, R-
dc.date.accessioned2024-10-13T18:29:38Z-
dc.date.available2024-10-13T18:29:38Z-
dc.date.issued2018-11-19-
dc.identifierORCiD: Ruoyu Jin https://orcid.org/0000-0003-0360-6967-
dc.identifier4035-
dc.identifier.citationYang, Y. et al. (2018) 'Structural damage identification of bridges from passing test vehicles', Sensors (Switzerland), 2018, 18 (11), 4035, pp. 1 - 23. doi. 10.3390/s18114035.en_US
dc.identifier.issn1424-8220-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/29934-
dc.description.abstractThis paper presents two approaches for the structural damage identification of a bridge from the dynamic response recorded from a test vehicle during its passage over the bridge. Using the acceleration response recorded by the vibration sensors mounted on a test vehicle during its passage over the bridge, along with the computed displacement response, the bending stiffness of the bridge can be determined using either: (1) the frequency-domain method based on the improved directed stiffness method with the identified frequency and corresponding mode shape, or (2) the time-domain method based on the residual vector of the least squares method with a fourth-order displacement moment. By comparing the bending stiffness values identified from the vehicle-collected data for the bridge under the undamaged and damaged states that are monitored regularly by the test vehicle, the bridge damage location and severity can be identified. Through numerical simulations and field tests, the present approaches are shown to be effective and feasible.en_US
dc.description.sponsorshipFundamental Research Fund for the Central University (Project No. 2018CDQYTM0044); National Natural Science Foundation of China (Grant No. 51778090); 111 Project of China (Grants No. B18062); National Natural Science Foundation of China (Grants No. 51708062).en_US
dc.format.extent1 - 23-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsAttribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectbending stiffnessen_US
dc.subjectdamage identificationen_US
dc.subjectenvironmental noiseen_US
dc.subjectbridgeen_US
dc.subjecttest vehicleen_US
dc.titleStructural damage identification of bridges from passing test vehiclesen_US
dc.typeArticleen_US
dc.date.dateAccepted2018-11-09-
dc.identifier.doihttps://doi.org/10.3390/s18114035-
dc.relation.isPartOfSensors (Switzerland)-
pubs.issue11-
pubs.publication-statusPublished-
pubs.volume18-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe authors-
Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

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