Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic
Video processing for structural monitoring has attracted much attention in recent years thanks to the possibility of measuring displacement time histories in the absence of stationary points close to the structure, using hardware that is simple to operate and with accessible costs. Experimental stud...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Infrastructures |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2412-3811/8/10/152 |
| _version_ | 1797573542163775488 |
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| author | Fabio Micozzi Michele Morici Alessandro Zona Andrea Dall’Asta |
| author_facet | Fabio Micozzi Michele Morici Alessandro Zona Andrea Dall’Asta |
| author_sort | Fabio Micozzi |
| collection | DOAJ |
| description | Video processing for structural monitoring has attracted much attention in recent years thanks to the possibility of measuring displacement time histories in the absence of stationary points close to the structure, using hardware that is simple to operate and with accessible costs. Experimental studies show a unanimous consensus on the potentialities of vision-based monitoring to provide accurate results that can be equivalent to those obtained from accelerometers and displacement transducers. However, past studies mostly involved steel bridges and footbridges while very few applications can be found for concrete bridges, characterised by a stiffer response with lower displacement magnitudes and different frequency contents of their dynamic behaviour. Accordingly, the attention of this experimental study is focused on the application of a vision-based structural monitoring system to a medium-span, post-tensioned, simply supported concrete bridge, a very common typology in many road networks. The objective is to provide evidence on the quality of the results that could be obtained using vision-based monitoring, understanding the role and influence on the accuracy of the measurements of various parameters relevant to the hardware settings and target geometry, highlighting possible difficulties, and providing practical recommendations to achieve optimal results. |
| first_indexed | 2024-03-10T21:10:34Z |
| format | Article |
| id | doaj.art-29ba408215694fca91d38e5409bff9e6 |
| institution | Directory Open Access Journal |
| issn | 2412-3811 |
| language | English |
| last_indexed | 2024-03-10T21:10:34Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj.art-29ba408215694fca91d38e5409bff9e62023-11-19T16:48:44ZengMDPI AGInfrastructures2412-38112023-10-0181015210.3390/infrastructures8100152Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular TrafficFabio Micozzi0Michele Morici1Alessandro Zona2Andrea Dall’Asta3School of Architecture and Design, University of Camerino, Viale della Rimembranza 3, 63100 Ascoli Piceno, ItalySchool of Architecture and Design, University of Camerino, Viale della Rimembranza 3, 63100 Ascoli Piceno, ItalySchool of Architecture and Design, University of Camerino, Viale della Rimembranza 3, 63100 Ascoli Piceno, ItalySchool of Architecture and Design, University of Camerino, Viale della Rimembranza 3, 63100 Ascoli Piceno, ItalyVideo processing for structural monitoring has attracted much attention in recent years thanks to the possibility of measuring displacement time histories in the absence of stationary points close to the structure, using hardware that is simple to operate and with accessible costs. Experimental studies show a unanimous consensus on the potentialities of vision-based monitoring to provide accurate results that can be equivalent to those obtained from accelerometers and displacement transducers. However, past studies mostly involved steel bridges and footbridges while very few applications can be found for concrete bridges, characterised by a stiffer response with lower displacement magnitudes and different frequency contents of their dynamic behaviour. Accordingly, the attention of this experimental study is focused on the application of a vision-based structural monitoring system to a medium-span, post-tensioned, simply supported concrete bridge, a very common typology in many road networks. The objective is to provide evidence on the quality of the results that could be obtained using vision-based monitoring, understanding the role and influence on the accuracy of the measurements of various parameters relevant to the hardware settings and target geometry, highlighting possible difficulties, and providing practical recommendations to achieve optimal results.https://www.mdpi.com/2412-3811/8/10/152bridge monitoringcomputer visiondigital image correlationexperimental analysisstructural health monitoringvibration analysis |
| spellingShingle | Fabio Micozzi Michele Morici Alessandro Zona Andrea Dall’Asta Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic Infrastructures bridge monitoring computer vision digital image correlation experimental analysis structural health monitoring vibration analysis |
| title | Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic |
| title_full | Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic |
| title_fullStr | Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic |
| title_full_unstemmed | Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic |
| title_short | Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic |
| title_sort | vision based structural monitoring application to a medium span post tensioned concrete bridge under vehicular traffic |
| topic | bridge monitoring computer vision digital image correlation experimental analysis structural health monitoring vibration analysis |
| url | https://www.mdpi.com/2412-3811/8/10/152 |
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