Some Considerations about the Incorporation of Dynamic Parameters in the Structural Health Monitoring Systems of Bridges
Source abstract
Abstract
Currently, there is a growing concern about the conservation and maintenance of infrastructure. Within this context, bridges deserve special attention, given their technical complexity and strategic nature. To this end, modern technology provides the opportunity to implement systems for structural health monitoring (SHM), a field in which great advances have been made in recent years. In this sense, one of the fastest-growing lines of work in Civil Engineering is the early detection of incidents because of changes in the dynamic behaviour of structures. Throughout this paper, some of the most notable considerations that the authors have been appreciating in the latest structures studied are summarized. These may be of interest for the possible incorporation of dynamic parameters in SHM systems that could be implemented in other structures in the future. With this purpose, a review of the different issues that must be studied within the dynamic analysis of a structure is carried out, such as the structural typology, the type of instrumentation, the recorded accelerations, the analysis of the natural frequencies, the study of the modal damping ratio and the set of thresholds; issues that are also accompanied by examples observed in two real monitored structures.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Concrete Corrosion and Durability · Infrastructure Maintenance and Monitoring
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Continuum Mechanics and Theory of Structures, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Ministry for Transport and Sustainable Mobility, 28071 Madrid, Spain
Carlos Fernández Casado, S.L., 28020 Madrid, Spain
References (40)
Show source-provided references
1. Rymsza, J. (2021). Causes of the Collapse of the Polcevera Viaduct in Genoa, Italy. Appl. Sci., 11.10.37247/PAASC.1.22.8 ↗
2. DNV (2023, November 01). Technical Opinion of the Incident that Occurred on Line 12, in the Elevated Section between Olivos and Tezonco Stations, between Columns 12 and 13, and Root Cause Analysis. (In Spanish).
3. UN General Assembly (2023, November 01). Transforming our World: The 2030 Agenda for Sustainable Development, A/RES/70/1. Available online: https://www.refworld.org/docid/57b6e3e44.html.
4. Vibration-based structural health monitoring using output-only measurements under changing environment10.1016/j.ymssp.2007.07.004 ↗
5. Testing and long-term monitoring of a curved concrete box girder bridge10.1016/j.engstruct.2011.05.026 ↗
6. Long-term monitoring and data analysis of the Tamar Bridge10.1016/j.ymssp.2012.08.026 ↗
7. Hasani, H., and Freddi, F. (2023). Operational Modal Analysis on Bridges: A Comprehensive Review. Infrastructures, 8.10.3390/infrastructures8120172 ↗
8. Han, D., Hosamo, H., Ying, C., and Nie, R. (2023). A Comprehensive Review and Analysis of Nanosensors for Structural Health Monitoring in Bridge Maintenance: Innovations, Challenges, and Future Perspectives. Appl. Sci., 13.10.3390/app132011149 ↗
9. Dong, C., Bas, S., and Catbas, F.N. (2023). Applications of Computer Vision-Based Structural Monitoring on Long-Span Bridges in Turkey. Sensors, 23.10.3390/s23198161 ↗
10. Bai, Y., Demir, A., Yilmaz, A., and Sezen, H. (J. Civ. Struct. Health Monit., 2023). Assessment and monitoring of bridges using various camera placements and structural analysis, J. Civ. Struct. Health Monit., in press.10.1007/s13349-023-00720-6 ↗
11. Xu, J., Zeng, J., Chen, B., Lu, R., Zhu, Y., Qi, L., and Chen, X. (2023). Spacecraft Segment Damage Identification Method Based on Fiber Optic Strain Difference Field Reconstruction and Norm Calculation. Sensors, 23.10.3390/s23218822 ↗
12. Ramón-Zamora, J.E., Lliso-Ferrando, J.R., Martínez-Ibernón, A., and Gandía-Romero, J.M. (2023). Corrosion Assessment in Reinforced Concrete Structures by Means of Embedded Sensors and Multivariate Analysis—Part 1: Laboratory Validation. Sensors, 23.10.3390/s23218869 ↗
13. Jia, J., and Li, Y. (2023). Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends. Sensors, 23.10.3390/s23218824 ↗
14. Biondi, F., Addabbo, P., Ullo, S.L., Clemente, C., and Orlando, D. (2020). Perspectives on the Structural Health Monitoring of Bridges by Synthetic Aperture Radar. Remote Sens., 12.10.3390/rs12233852 ↗
15. Wenzel, H. (2009). Health Monitoring of Bridges, Wiley.10.1002/9780470740170 ↗
16. Dynamic monitoring of a long span arch bridge10.1016/j.engstruct.2008.04.020 ↗
17. Magalhães, F., Cunha, A., and Caetano, E. (2009, January 22–24). One-year dynamic monitoring of a bridge: Modal parameters tracking under the influence of environmental effects. Proceedings of the 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4), Zurich, Switzerland.
18. Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection10.1016/j.ymssp.2011.06.011 ↗
19. Gentile, C., and Saisi, A. (2010, January 2–4). Dynamic monitoring of the Paderno iron arch bridge (1889). Proceedings of the 6th International Conference on Arch Bridges (ARCH’10), Fuzhou, China.
20. Vibration monitoring of a steel-plated stress-ribbon footbridge: Uncertainties in the modal estimation10.1061/(ASCE)BE.1943-5592.0000830 ↗
21. Soria, J.M. (2019). Damage Identification and Condition Assessment of Civil Engineering Structures through Response Measurement. [Ph.D. Thesis, Universidad Politécnica de Madrid].
22. Bittencourt, T.N., Frangopol, D.M., and Beck, A. (2016). Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks, CRC Press.10.1201/9781315207681 ↗
23. Tan, D., Guo, T., Luo, H., Ji, B., Tao, Y., Li, A., and Duan, J. (2023). Dynamic Threshold Cable-Stayed Bridge Health Monitoring System Based on Temperature Effect Correction. Sensors, 23.10.3390/s23218826 ↗
24. Kölling, M., Resnik, B., and Sargsyan, A. (2014). Application of the Random Decrement Technique for Experimental Determination of Damping Parameters of Bearing Structures, BHS.
25. Alconétar Bridge over the River Tagus at Alcántara Reservoir, Cáceres, Spain10.2749/101686610791283560 ↗
26. Bridge over the river Tagus at Alcántara Reservoir («Arcos de Alconétar»)
27. Ministry for Transportation, Mobility and Urban Agenda (2023, November 01). Arch Bridge over the River Tagus (Extremadura), (In Spanish).
28. An experimental analysis of the evolution of dynamic parameters of a long-span metal arch bridge10.2749/101686614X13830788505568 ↗
29. Wind-Induced Vibrations of the Alconétar Bridge, Spain10.2749/101686610791283696 ↗
30. Study of the aerolastic behaviour of the bridge over the Tajo River at the Alcántara Reservoir
31. Wind tunnel tests on the «Arcos de Alconétar» arch bridge aerolastic model
32. Experimental analysis of the wind induced vibrations of the bridge over the river Tagus («Arcos de Alconétar»)
33. del Pozo Vindel, F.J., Arrieta Torrealba, J.M., Madrid Ramos, A.J., Cerezo Macías, A., Hernando Martín, A., and Higuera Antón, M.Á. (2023, November 01). Viaduct “Arroyo del Valle”, Madrid-Segovia-Valladolid High Speed Line. (In Spanish).
34. Siegrist, C., Siegrist, G., and Utrilla, M.A. (2023, November 01). Section of the High-Speed Line “Soto del Real-Miraflores”, Viaduct “Arroyo del Valle”. (In Spanish).
35. Ministry for Transportation, Mobility and Urban Agenda (2023, November 01). Adif Alta Velocidad. Line Madrid-Valladolid, Featured Structures, (In Spanish).
36. Tifsa (2009). Instrumentation and Monitoring of the Viaduct “Arroyo del Valle” (Miraflores de la Sierra).
37. Apia XXI (2007). Calibration of the Dynamic Computational Model of the Viaduct “Arroyo del Valle”.
38. Chopra, A.K. (1995). Dynamics of Structures: Theory and Applications to Earthquake Engineering, Prentice-Hall.
39. Clough, R.W., and Penzien, J. (2003). Dynamics of Structures, Computer and Structures.
40. López-Aragón, J.A., and Astiz, M.A. (J. Civ. Struct. Health Monit., 2023). Influence of the modal damping ratio calculation method in the analysis of dynamic events obtained in Structural Health Monitoring of bridges, J. Civ. Struct. Health Monit., in press.10.1007/s13349-023-00760-y ↗