Vision-based inspection of bolted joints: Field evaluation on a historical truss bridge in Vietnam Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.15625/0866-7136/15073
Vision-based inspection has received significant interests from structural health monitoring and maintenance academia. The vision-based approach has unique advantages over the traditional sensor-based inspection, including non-contact sensing, low cost, simple setup, and being immune to environmental effects. Despite that, the translation of the vision-based inspection to in-service structures in Viet Nam has been limited so far. Herein, the authors examine the field applicability of a vision-based approach for joints monitoring of a historical truss bridge in Vietnam. Firstly, a well-established vision-based bolt-loosening monitoring approach is briefly described. Secondly, a field test on the Nam O bridge (Da Nang City) is performed. A digital camera is used to capture the images of representative bolted joints of the bridge. Lastly, the vision-based approach is applied to monitor the bolted joints. The angle of bolts in the joints is estimated from the captured images, from which the accuracy of the approach is evaluated. This study is one of the first case applications, demonstrating the field applicability of the vision-based bolt-loosening approach for inspecting a real bridge in Vietnam.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.15625/0866-7136/15073
- https://vjs.ac.vn/index.php/vjmech/article/download/15073/pdf
- OA Status
- diamond
- Cited By
- 7
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3117429932
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3117429932Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.15625/0866-7136/15073Digital Object Identifier
- Title
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Vision-based inspection of bolted joints: Field evaluation on a historical truss bridge in VietnamWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-12-24Full publication date if available
- Authors
-
Thanh‐Canh Huynh, Ba-Phu Nguyen, Ananta Man Singh Pradhan, Quang‐Quang PhamList of authors in order
- Landing page
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https://doi.org/10.15625/0866-7136/15073Publisher landing page
- PDF URL
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https://vjs.ac.vn/index.php/vjmech/article/download/15073/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://vjs.ac.vn/index.php/vjmech/article/download/15073/pdfDirect OA link when available
- Concepts
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Bridge (graph theory), Engineering, Structural health monitoring, Truss, Truss bridge, Bolted joint, Machine vision, Structural engineering, Field (mathematics), Artificial intelligence, Computer vision, Computer science, Finite element method, Mathematics, Internal medicine, Pure mathematics, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 2, 2024: 3, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6600474606, https://openalex.org/W2155510173, https://openalex.org/W3017958344, https://openalex.org/W2534769545, https://openalex.org/W2027057715, https://openalex.org/W2888179871, https://openalex.org/W2969926492, https://openalex.org/W2746337766, https://openalex.org/W4250533120, https://openalex.org/W2779497038, https://openalex.org/W2946141567, https://openalex.org/W2973676704, https://openalex.org/W2791574238, https://openalex.org/W2102605133, https://openalex.org/W2901906265, https://openalex.org/W2916106717, https://openalex.org/W2332885174, https://openalex.org/W2327278474, https://openalex.org/W2567977755, https://openalex.org/W1999463165, https://openalex.org/W2671816833, https://openalex.org/W2126052502, https://openalex.org/W2478677992, https://openalex.org/W2751800584, https://openalex.org/W2088049833, https://openalex.org/W2794841368 |
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