Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion
dc.contributor.author | OBrien, EJ | |
dc.contributor.author | Brownjohn, JMW | |
dc.contributor.author | Hester, D | |
dc.contributor.author | Huseynov, F | |
dc.contributor.author | Casero, M | |
dc.date.accessioned | 2020-11-13T16:38:43Z | |
dc.date.issued | 2020-10-23 | |
dc.description.abstract | Bridge Weigh-in-Motion (B-WIM) systems use the bridge response under a traversing vehicle to estimate its axle weights. The information obtained from B-WIM systems has been used for a wide range of applications such as pre-selection for weight enforcement, traffic management/planning and for bridge and pavement design. However, it is less often used for bridge condition assessment purposes which is the main focus of this study. This paper presents a bridge damage detection concept using information provided by B-WIM systems. However, conventional B-WIM systems use strain measurements which are not sensitive to local damage. In this paper the authors present a B-WIM formulation that uses rotation measurements obtained at the bridge supports. There is a linear relationship between support rotation and axle weight and, unlike strain, rotation is sensitive to damage anywhere in the bridge. Initially, the sensitivity of rotation to damage is investigated using a hypothetical simply supported bridge model. Having seen that rotation is damage-sensitive, the influence of bridge damage on weight predictions is analysed. It is shown that if damage occurs, a rotation-based B-WIM system will continuously overestimate the weight of traversing vehicles. Finally, the statistical repeatability of ambient traffic is studied using real traffic data obtained from a Weigh-in-Motion site in the U.S. under the Federal Highway Administration’s Long-Term Pavement Performance programme and a damage indicator is proposed as the change in the mean weights of ambient traffic data. To test the robustness of the proposed damage detection methodology numerical analysis are carried out on a simply supported bridge model and results are presented within the scope of this study. | en_GB |
dc.description.sponsorship | European Union’s Horizon 2020 | en_GB |
dc.identifier.citation | Published online 23 October 2020 | en_GB |
dc.identifier.doi | 10.1007/s13349-020-00445-w | |
dc.identifier.grantnumber | Marie Skłodowska-Curie grant agreement No. 642453 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/123617 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer Nature | en_GB |
dc.rights.embargoreason | Under embargo until 23 October 2021 in compliance with publisher policy | en_GB |
dc.rights | 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.subject | Bridge | en_GB |
dc.subject | damage detection | en_GB |
dc.subject | rotation | en_GB |
dc.subject | Bridge Weigh-in-Motion | en_GB |
dc.subject | B-WIM | en_GB |
dc.subject | WIM | en_GB |
dc.subject | ambient traffic | en_GB |
dc.title | Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-11-13T16:38:43Z | |
dc.identifier.issn | 2190-5452 | |
dc.description | This is the author accepted manuscript. The final version is available from Springer Nature via the DOI in this record | en_GB |
dc.identifier.eissn | 2190-5479 | |
dc.identifier.journal | Journal of Civil Structural Health Monitoring | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-10-09 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-10-23 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-11-13T16:34:14Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2021-10-22T23:00:00Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as 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/.