Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study
Despite the progress in digitization of civil engineering, the process of bridge inspection is still outdated. In most cases, its documentation consists of notes, sketches and photos. This results in significant data loss during structure maintenance and can even lead to critical failures. As a solu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2020-12-01
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| Series: | Archives of Civil Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/118214/PDF/20_ACE00076v3----ok_B5.pdf |
| _version_ | 1811343690813145088 |
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| author | Bartosz Wójcik Mateusz Żarski |
| author_facet | Bartosz Wójcik Mateusz Żarski |
| author_sort | Bartosz Wójcik |
| collection | DOAJ |
| description | Despite the progress in digitization of civil engineering, the process of bridge inspection is still outdated. In most cases, its documentation consists of notes, sketches and photos. This results in significant data loss during structure maintenance and can even lead to critical failures. As a solution to this problem, many researchers see the use of modern technologies that are gaining popularity in civil engineering. Namely Building Information Modelling (BIM), 3D reconstruction and Artificial Intelligence (AI). However, despite their work, no particular solution was implemented. In this article, we evaluated the applicability of state-of-the-art methods based on a case study. We have considered each step starting from data acquisition and ending on BIM model enrichment. Additionally, the comparison of deep learning crack semantic segmentation algorithm with human inspector was performed. Authors believe that this kind of work is crucial for further advancements in the field of bridge maintenance. |
| first_indexed | 2024-04-13T19:33:13Z |
| format | Article |
| id | doaj.art-502d2601dd754658a82c21519c948cf5 |
| institution | Directory Open Access Journal |
| issn | 2300-3103 |
| language | English |
| last_indexed | 2024-04-13T19:33:13Z |
| publishDate | 2020-12-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Civil Engineering |
| spelling | doaj.art-502d2601dd754658a82c21519c948cf52022-12-22T02:33:07ZengPolish Academy of SciencesArchives of Civil Engineering2300-31032020-12-01Vol. 66No 4343362https://doi.org/10.24425/ace.2020.135225Assessment of State-of-the-Art Methods for Bridge Inspection: Case StudyBartosz Wójcikhttps://orcid.org/0000-0003-0695-8386Mateusz Żarskihttps://orcid.org/0000-0003-0380-8411Despite the progress in digitization of civil engineering, the process of bridge inspection is still outdated. In most cases, its documentation consists of notes, sketches and photos. This results in significant data loss during structure maintenance and can even lead to critical failures. As a solution to this problem, many researchers see the use of modern technologies that are gaining popularity in civil engineering. Namely Building Information Modelling (BIM), 3D reconstruction and Artificial Intelligence (AI). However, despite their work, no particular solution was implemented. In this article, we evaluated the applicability of state-of-the-art methods based on a case study. We have considered each step starting from data acquisition and ending on BIM model enrichment. Additionally, the comparison of deep learning crack semantic segmentation algorithm with human inspector was performed. Authors believe that this kind of work is crucial for further advancements in the field of bridge maintenance.https://journals.pan.pl/Content/118214/PDF/20_ACE00076v3----ok_B5.pdfbuilding information modelling3d reconstructionphotogrammetryartificial intelligencebridge inspection |
| spellingShingle | Bartosz Wójcik Mateusz Żarski Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study Archives of Civil Engineering building information modelling 3d reconstruction photogrammetry artificial intelligence bridge inspection |
| title | Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study |
| title_full | Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study |
| title_fullStr | Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study |
| title_full_unstemmed | Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study |
| title_short | Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study |
| title_sort | assessment of state of the art methods for bridge inspection case study |
| topic | building information modelling 3d reconstruction photogrammetry artificial intelligence bridge inspection |
| url | https://journals.pan.pl/Content/118214/PDF/20_ACE00076v3----ok_B5.pdf |
| work_keys_str_mv | AT bartoszwojcik assessmentofstateoftheartmethodsforbridgeinspectioncasestudy AT mateuszzarski assessmentofstateoftheartmethodsforbridgeinspectioncasestudy |