Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge
This study developed a digital twin (DT) and structural health monitoring (SHM) system for a balanced cantilever bridge, utilizing advanced measurement techniques to enhance accuracy. Vibration and dynamic strain measurements were obtained using accelerometers and piezo-resistive strain gauges, capt...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Resilient Cities and Structures |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772741625000365 |
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| author | Tidarut Jirawattanasomkul Le Hang Supasit Srivaranun Suched Likitlersuang Pitcha Jongvivatsakul Wanchai Yodsudjai Punchet Thammarak |
| author_facet | Tidarut Jirawattanasomkul Le Hang Supasit Srivaranun Suched Likitlersuang Pitcha Jongvivatsakul Wanchai Yodsudjai Punchet Thammarak |
| author_sort | Tidarut Jirawattanasomkul |
| collection | DOAJ |
| description | This study developed a digital twin (DT) and structural health monitoring (SHM) system for a balanced cantilever bridge, utilizing advanced measurement techniques to enhance accuracy. Vibration and dynamic strain measurements were obtained using accelerometers and piezo-resistive strain gauges, capturing low-magnitude dynamic strains during operational vibrations. 3D-LiDAR scanning and Ultrasonic Pulse Velocity (UPV) tests captured the bridge's as-is geometry and modulus of elasticity. The resulting detailed 3D point cloud model revealed the structure's true state and highlighted discrepancies between the as-designed and as-built conditions. Dynamic properties, including modal frequencies and shapes, were extracted from the strain and acceleration measurements, providing critical insights into the bridge's structural behavior. The neutral axis depth, indicating stress distribution and potential damage, was accurately determined. Good agreement between vibration measurement data and the as-is model results validated the reliability of the digital twin model. Dynamic strain patterns and neutral axis parameters showed strong correlation with model predictions, serving as sensitive indicators of local damage. The baseline digital twin model and measurement results establish a foundation for future bridge inspections and investigations. This study demonstrates the effectiveness of combining digital twin technology with field measurements for real-time monitoring and predictive maintenance, ensuring the sustainability and safety of the bridge infrastructure, thereby enhancing its overall resilience to operational and environmental stressors. |
| format | Article |
| id | doaj-art-068c92b3adc34d11a0d198b87edf421c |
| institution | Kabale University |
| issn | 2772-7416 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Resilient Cities and Structures |
| spelling | doaj-art-068c92b3adc34d11a0d198b87edf421c2025-08-20T03:43:44ZengElsevierResilient Cities and Structures2772-74162025-09-0143486610.1016/j.rcns.2025.08.001Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridgeTidarut Jirawattanasomkul0Le Hang1Supasit Srivaranun2Suched Likitlersuang3Pitcha Jongvivatsakul4Wanchai Yodsudjai5Punchet Thammarak6Center of Excellence in Innovative Construction Materials, Department of Civil Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; GreenTech Nexus: Research Center for Sustainable Construction Innovation, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, ThailandGraduate School of Civil Engineering, Asian Institute of Technology, Pathum Thani, 12120, ThailandDepartment of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok, 10900, Thailand; Corresponding author.Centre of Excellence in Geotechnical and Geoenvironmental Engineering, Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; GreenTech Nexus: Research Center for Sustainable Construction Innovation, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, ThailandCenter of Excellence in Innovative Construction Materials, Department of Civil Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; GreenTech Nexus: Research Center for Sustainable Construction Innovation, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, ThailandDepartment of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok, 10900, ThailandSchool of Engineering and Technology, Asian Institute of Technology, Pathum Thani, 12120, ThailandThis study developed a digital twin (DT) and structural health monitoring (SHM) system for a balanced cantilever bridge, utilizing advanced measurement techniques to enhance accuracy. Vibration and dynamic strain measurements were obtained using accelerometers and piezo-resistive strain gauges, capturing low-magnitude dynamic strains during operational vibrations. 3D-LiDAR scanning and Ultrasonic Pulse Velocity (UPV) tests captured the bridge's as-is geometry and modulus of elasticity. The resulting detailed 3D point cloud model revealed the structure's true state and highlighted discrepancies between the as-designed and as-built conditions. Dynamic properties, including modal frequencies and shapes, were extracted from the strain and acceleration measurements, providing critical insights into the bridge's structural behavior. The neutral axis depth, indicating stress distribution and potential damage, was accurately determined. Good agreement between vibration measurement data and the as-is model results validated the reliability of the digital twin model. Dynamic strain patterns and neutral axis parameters showed strong correlation with model predictions, serving as sensitive indicators of local damage. The baseline digital twin model and measurement results establish a foundation for future bridge inspections and investigations. This study demonstrates the effectiveness of combining digital twin technology with field measurements for real-time monitoring and predictive maintenance, ensuring the sustainability and safety of the bridge infrastructure, thereby enhancing its overall resilience to operational and environmental stressors.http://www.sciencedirect.com/science/article/pii/S2772741625000365Digital twinStructural health monitoringBalanced cantilever bridge3D-LiDARDynamic strain measurement |
| spellingShingle | Tidarut Jirawattanasomkul Le Hang Supasit Srivaranun Suched Likitlersuang Pitcha Jongvivatsakul Wanchai Yodsudjai Punchet Thammarak Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge Resilient Cities and Structures Digital twin Structural health monitoring Balanced cantilever bridge 3D-LiDAR Dynamic strain measurement |
| title | Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| title_full | Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| title_fullStr | Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| title_full_unstemmed | Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| title_short | Digital twin-based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| title_sort | digital twin based structural health monitoring and measurements of dynamic characteristics in balanced cantilever bridge |
| topic | Digital twin Structural health monitoring Balanced cantilever bridge 3D-LiDAR Dynamic strain measurement |
| url | http://www.sciencedirect.com/science/article/pii/S2772741625000365 |
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