Bridge Damage Detection Approach Using a Roving Camera Technique Article Swipe
Darragh Lydon
,
Myra Lydon
,
Rolands Kromanis
,
Chuan‐Zhi Dong
,
F. Necati Çatbaş
,
Susan Taylor
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21041246
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/s21041246
Increasing extreme climate events, intensifying traffic patterns and long-term underinvestment have led to the escalated deterioration of bridges within our road and rail transport networks. Structural Health Monitoring (SHM) systems provide a means of objectively capturing and quantifying deterioration under operational conditions. Computer vision technology has gained considerable attention in the field of SHM due to its ability to obtain displacement data using non-contact methods at long distances. Additionally, it provides a low cost, rapid instrumentation solution with low interference to the normal operation of structures. However, even in the case of a medium span bridge, the need for many cameras to capture the global response can be cost-prohibitive. This research proposes a roving camera technique to capture a complete derivation of the response of a laboratory model bridge under live loading, in order to identify bridge damage. Displacement is identified as a suitable damage indicator, and two methods are used to assess the magnitude of the change in global displacement under changing boundary conditions in the laboratory bridge model. From this study, it is established that either approach could detect damage in the simulation model, providing an SHM solution that negates the requirement for complex sensor installations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s21041246
- https://www.mdpi.com/1424-8220/21/4/1246/pdf?version=1613806966
- OA Status
- gold
- Cited By
- 26
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3127921612
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3127921612Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/s21041246Digital Object Identifier
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Bridge Damage Detection Approach Using a Roving Camera TechniqueWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-02-10Full publication date if available
- Authors
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Darragh Lydon, Myra Lydon, Rolands Kromanis, Chuan‐Zhi Dong, F. Necati Çatbaş, Susan TaylorList of authors in order
- Landing page
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https://doi.org/10.3390/s21041246Publisher landing page
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https://www.mdpi.com/1424-8220/21/4/1246/pdf?version=1613806966Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1424-8220/21/4/1246/pdf?version=1613806966Direct OA link when available
- Concepts
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Bridge (graph theory), Structural health monitoring, Displacement (psychology), Instrumentation (computer programming), Computer science, Field (mathematics), Engineering, Structural engineering, Operating system, Pure mathematics, Psychology, Psychotherapist, Medicine, Mathematics, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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26Total citation count in OpenAlex
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2025: 3, 2024: 2, 2023: 10, 2022: 7, 2021: 4Per-year citation counts (last 5 years)
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66Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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