Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey Article Swipe
Chuan‐Zhi Dong
,
Selçuk Baş
,
F. Necati Çatbaş
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23198161
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23198161
Structural displacement monitoring is one of the major tasks of structural health monitoring and it is a significant challenge for research and engineering practices relating to large-scale civil structures. While computer vision-based structural monitoring has gained traction, current practices largely focus on laboratory experiments, small-scale structures, or close-range applications. This paper demonstrates its applications on three landmark long-span suspension bridges in Turkey: the First Bosphorus Bridge, the Second Bosphorus Bridge, and the Osman Gazi Bridge, among the longest landmark bridges in the world, with main spans of 1074 m, 1090 m, and 1550 m, respectively. The presented studies achieved non-contact displacement monitoring from a distance of 600 m, 755 m, and 1350 m for the respective bridges. The presented concepts, analysis, and results provide an overview of long-span bridge monitoring using computer vision-based monitoring. The results are assessed with conventional monitoring approaches and finite element analysis based on observed traffic conditions. Both displacements and dynamic frequencies align well with these conventional techniques and finite element analyses. This study also highlights the challenges of computer vision-based structural monitoring of long-span bridges and presents considerations such as the encountered adverse environmental factors, target and algorithm selection, and potential directions of future studies.
Related Topics
Concepts
Bridge (graph theory)
Structural health monitoring
Finite element method
Landmark
Displacement (psychology)
Span (engineering)
Structural engineering
Engineering
Safety monitoring
Condition monitoring
Computer science
Artificial intelligence
Psychology
Internal medicine
Psychotherapist
Biology
Biotechnology
Medicine
Electrical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23198161
- https://www.mdpi.com/1424-8220/23/19/8161/pdf?version=1695961592
- OA Status
- gold
- Cited By
- 22
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387186225
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387186225Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s23198161Digital Object Identifier
- Title
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Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in TurkeyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-29Full publication date if available
- Authors
-
Chuan‐Zhi Dong, Selçuk Baş, F. Necati ÇatbaşList of authors in order
- Landing page
-
https://doi.org/10.3390/s23198161Publisher landing page
- PDF URL
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https://www.mdpi.com/1424-8220/23/19/8161/pdf?version=1695961592Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1424-8220/23/19/8161/pdf?version=1695961592Direct OA link when available
- Concepts
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Bridge (graph theory), Structural health monitoring, Finite element method, Landmark, Displacement (psychology), Span (engineering), Structural engineering, Engineering, Safety monitoring, Condition monitoring, Computer science, Artificial intelligence, Psychology, Internal medicine, Psychotherapist, Biology, Biotechnology, Medicine, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 14, 2024: 6, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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