Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation
This study focused on analyzing the impact of ground-penetrating radar (GPR) scan spacing on accurately assessing the reinforcement of concrete bridge girders, providing practical insights. A decommissioned bridge box beam was evaluated to unveil rebars and tendons’ depth and spacing. The box beam w...
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| Format: | Article |
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/24/11590 |
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| author | Wael Zatar Felipe Mota Ruiz Hien Nghiem |
| author_facet | Wael Zatar Felipe Mota Ruiz Hien Nghiem |
| author_sort | Wael Zatar |
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| description | This study focused on analyzing the impact of ground-penetrating radar (GPR) scan spacing on accurately assessing the reinforcement of concrete bridge girders, providing practical insights. A decommissioned bridge box beam was evaluated to unveil rebars and tendons’ depth and spacing. The box beam was decommissioned from the West Virginia Division of Highways inventory. An innovative algorithm was developed to fully automate the analysis of survey grid data across all sides of the beam. Implementing this algorithm into a computer code has paved the way for comprehensive automation of GPR data analyses. Comparing GPR data analyses from various profile line offsets, this study assists in producing optimal protocols for inspecting box beams. Transverse profile line offsets between 4 in. and 24 in. yielded nearly identical results, setting a new standard for precision. Utilizing more than one longitudinal profile line was highly beneficial in accurately assessing prestressed concrete box beams. This research helps redefine bridge evaluation by precisely finding rebar spacing, concrete cover, and other internal characteristics. This study’s findings offer invaluable advancements and equip state departments of transportation with the knowledge to accurately assess in-service concrete bridge box beams, empowering them to make informed decisions. |
| format | Article |
| id | doaj-art-5bb5e938f8ad45c1aa82fd202cc64fa5 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-5bb5e938f8ad45c1aa82fd202cc64fa52024-12-27T14:07:46ZengMDPI AGApplied Sciences2076-34172024-12-0114241159010.3390/app142411590Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative EvaluationWael Zatar0Felipe Mota Ruiz1Hien Nghiem2Encova Center for Engineering and Safety, Department of Civil Engineering, Marshall University, Huntington, WV 25755, USAEncova Center for Engineering and Safety, Department of Civil Engineering, Marshall University, Huntington, WV 25755, USAEncova Center for Engineering and Safety, Department of Civil Engineering, Marshall University, Huntington, WV 25755, USAThis study focused on analyzing the impact of ground-penetrating radar (GPR) scan spacing on accurately assessing the reinforcement of concrete bridge girders, providing practical insights. A decommissioned bridge box beam was evaluated to unveil rebars and tendons’ depth and spacing. The box beam was decommissioned from the West Virginia Division of Highways inventory. An innovative algorithm was developed to fully automate the analysis of survey grid data across all sides of the beam. Implementing this algorithm into a computer code has paved the way for comprehensive automation of GPR data analyses. Comparing GPR data analyses from various profile line offsets, this study assists in producing optimal protocols for inspecting box beams. Transverse profile line offsets between 4 in. and 24 in. yielded nearly identical results, setting a new standard for precision. Utilizing more than one longitudinal profile line was highly beneficial in accurately assessing prestressed concrete box beams. This research helps redefine bridge evaluation by precisely finding rebar spacing, concrete cover, and other internal characteristics. This study’s findings offer invaluable advancements and equip state departments of transportation with the knowledge to accurately assess in-service concrete bridge box beams, empowering them to make informed decisions.https://www.mdpi.com/2076-3417/14/24/11590reinforced concreteprestressed concretecorrosiondeteriorationbridge inspectionbridge assessment |
| spellingShingle | Wael Zatar Felipe Mota Ruiz Hien Nghiem Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation Applied Sciences reinforced concrete prestressed concrete corrosion deterioration bridge inspection bridge assessment |
| title | Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation |
| title_full | Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation |
| title_fullStr | Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation |
| title_full_unstemmed | Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation |
| title_short | Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation |
| title_sort | revolutionizing concrete bridge assessment implementing nondestructive scanning for transformative evaluation |
| topic | reinforced concrete prestressed concrete corrosion deterioration bridge inspection bridge assessment |
| url | https://www.mdpi.com/2076-3417/14/24/11590 |
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