Vibration diagnostics of beam bridges for serviceability assessment: a comparative analysis of international practice
DOI:
https://doi.org/10.54355/tbus/27897338.6.2.2026.0100Keywords:
beam bridges, serviceability assessment, vibration diagnostics, operational modal analysis, bridge monitoring, structural health monitoringAbstract
Vibration-based methods are widely used in bridge assessment, yet their engineering interpretation for serviceability evaluation remains inconsistent across studies and national practice. This paper comparatively analyzes international practice in the vibration diagnostics of beam bridges with a focus on how measured dynamic response is translated into conclusions about operational suitability. The analysis covers field-oriented studies and review sources and compares excitation strategies, sensor layouts, measured parameters, interpretation routes, and links between diagnostic results and engineering decisions. Across the reviewed studies, the most frequently used indicators are natural frequencies, mode shapes, damping characteristics, and vibration response levels, since these quantities are sensitive to changes in stiffness, boundary conditions, and structural deterioration. The comparison also shows that these indicators are not equally informative across all field conditions and do not, by themselves, provide a uniform basis for serviceability assessment. Their practical value depends on the test organization, signal interpretation, and the extent to which vibration data are combined with structural models, inspection context, or baseline states. The paper identifies the most transferable findings from international practice and highlights considerations relevant to bridge networks that require practical, selective, and reproducible assessment procedures, including those in Kazakhstan.
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N. Makhmetova, M. Kvashnin, I. Bondar, and V. Shultz, “Ensuring safe operation of artificial structures,” Bull. KazATC, vol. 128, no. 5, pp. 28–37, Oct. 2023, doi: 10.52167/1609-1817-2023-128-5-28-37. DOI: https://doi.org/10.52167/1609-1817-2023-128-5-28-37
M. G. Barker and J. Staebler, “Servicability limits and economical steel bridge design,” in Report No. FHWA-HIF-11-044, Washington DC, USA: Federal Highway Administration, 2011, p. 93.
S. S. Saidin, A. Jamadin, S. Abdul Kudus, N. Mohd Amin, and M. A. Anuar, “An Overview: The Application of Vibration-Based Techniques in Bridge Structural Health Monitoring,” Int. J. Concr. Struct. Mater., vol. 16, no. 1, p. 69, Dec. 2022, doi: 10.1186/s40069-022-00557-1. DOI: https://doi.org/10.1186/s40069-022-00557-1
Z. Deng, M. Huang, N. Wan, and J. Zhang, “The Current Development of Structural Health Monitoring for Bridges: A Review,” Buildings, vol. 13, no. 6, p. 1360, May 2023, doi: 10.3390/buildings13061360. DOI: https://doi.org/10.3390/buildings13061360
S. Desjardins and D. Lau, “Advances in intelligent long-term vibration-based structural health-monitoring systems for bridges,” Adv. Struct. Eng., vol. 25, no. 7, pp. 1413–1430, May 2022, doi: 10.1177/13694332221081186. DOI: https://doi.org/10.1177/13694332221081186
W.-H. Hu, D.-H. Tang, J. Teng, S. Said, and Rolf. G. Rohrmann, “Structural Health Monitoring of a Prestressed Concrete Bridge Based on Statistical Pattern Recognition of Continuous Dynamic Measurements over 14 years,” Sensors, vol. 18, no. 12, p. 4117, Nov. 2018, doi: 10.3390/s18124117. DOI: https://doi.org/10.3390/s18124117
Y. Reuland, L. Garcia-Ramonda Estevez, P. Martakis, S. Bogoevska, and E. Chatzi, “A full-scale case study of vibration-based structural health monitoring of bridges: prospects and open challenges,” ce/papers, vol. 6, no. 5, Sep. 2023, doi: 10.3929/ETHZ-B-000665062. DOI: https://doi.org/10.1002/cepa.2001
M. J. Whelan, M. V. Gangone, K. D. Janoyan, N. A. Hoult, C. R. Middleton, and K. Soga, “Wireless operational modal analysis of a multi-span prestressed concrete bridge for structural identification,” Smart Struct. Syst., vol. 6, no. 5_6, pp. 579–593, Jul. 2010, doi: 10.12989/SSS.2010.6.5_6.579. DOI: https://doi.org/10.12989/sss.2010.6.5_6.579
S. S. Saidin et al., “Operational modal analysis and finite element model updating of ultra-high-performance concrete bridge based on ambient vibration test,” Case Stud. Constr. Mater., vol. 16, p. e01117, Jun. 2022, doi: 10.1016/j.cscm.2022.e01117. DOI: https://doi.org/10.1016/j.cscm.2022.e01117
L. Li and T. Ohkubo, “Wireless vibration testing and bridge deck damage identification using underneath maintenance walkway,” Sci. Rep., vol. 14, no. 1, p. 25247, Oct. 2024, doi: 10.1038/s41598-024-77179-y. DOI: https://doi.org/10.1038/s41598-024-77179-y
M. Akbar, A. Aminullah, and A. Awaludin, “Operational Modal Analysis of a Box Girder Bridge using Fast Fourier Transform and Stochastic Subspace Identification,” INERSIA J. Tek. Sipil Dan Arsit., vol. 21, no. 2, pp. 270–280, 2025, doi: 10.21831/inersia.v21i2.83380.
I. S. Bondar, P. G. Khardikov, D. T. Aldekeyeva, and R. S. Imambaeva, “Methodology for determining the period of vibrations of beam span structures of bridges,” Bull. Kazakh Lead. Acad. Archit. Constr., vol. 83, no. 1, pp. 127–133, Jan. 2022, doi: 10.51488/1680-080X/2022.1-07. DOI: https://doi.org/10.51488/1680-080X/2022.1-07
I. G. Araujo, E. Maldonado, and G. C. Cho, “Ambient vibration testing and updating of the finite element model of a simply supported beam bridge,” Front. Archit. Civ. Eng. China, vol. 5, no. 3, pp. 344–354, Sep. 2011, doi: 10.1007/s11709-011-0124-8. DOI: https://doi.org/10.1007/s11709-011-0124-8
R. Schneider, P. Simon, F. Hille, R. Herrmann, and M. Baeßler, “Vibration-based system identification of a large steel box girder bridge,” J. Phys. Conf. Ser., vol. 2647, no. 18, p. 182039, Jun. 2024, doi: 10.1088/1742-6596/2647/18/182039. DOI: https://doi.org/10.1088/1742-6596/2647/18/182039
J. J. Moughty and J. R. Casas, “A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions,” Appl. Sci., vol. 7, no. 5, p. 510, May 2017, doi: 10.3390/app7050510. DOI: https://doi.org/10.3390/app7050510
O. Krutikov, I. Gershuni, and D. Ryzhov, “Evaluation of the self-induced vibrations modes of bridge superstructure during monitoring,” Russ. J. Transp. Eng., vol. 9, no. 2, p. 01SATS222, Jun. 2022, doi: 10.15862/01SATS222. DOI: https://doi.org/10.15862/01SATS222
M. Ya. Kvashnin, S. E. Bekzhanova, A. S. Akbayevа, I. S. Bondary, and A. Kurbenov, “On the question of safe operation of artificial structures of railways,” Bull. Kazakh Lead. Acad. Archit. Constr., vol. 79, no. 1, pp. 229–240, Mar. 2021, doi: 10.51488/1680-080X/2021.1-30. DOI: https://doi.org/10.51488/1680-080X/2021.1-30
A. De Angelis, G. Esposito, G. Maddaloni, E. Cosenza, and M. R. Pecce, “Ambient vibration test on an existing prestressed conctere bridge,” in Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Athens, Greece: Institute of Research and Development for Computational Methods in Engineering Sciences (ICMES), 2021, pp. 3720–3730. doi: 10.7712/120121.8741.18728. DOI: https://doi.org/10.7712/120121.8741.18728
V. Nicoletti, R. Martini, L. Amico, S. Carbonari, and F. Gara, “Operational modal analysis for supporting the retrofit design of bridges,” ce/papers, vol. 6, no. 5, pp. 1182–1188, Sep. 2023, doi: 10.1002/cepa.2125. DOI: https://doi.org/10.1002/cepa.2125
J. Luo, M. Huang, and Y. Lei, “Temperature Effect on Vibration Properties and Vibration-Based Damage Identification of Bridge Structures: A Literature Review,” Buildings, vol. 12, no. 8, p. 1209, Aug. 2022, doi: 10.3390/buildings12081209. DOI: https://doi.org/10.3390/buildings12081209
C. Qu, G. Tu, F. Gao, L. Sun, S. Pan, and D. Chen, “Review of Bridge Structure Damping Model and Identification Method,” Sustainability, vol. 16, no. 21, p. 9410, Oct. 2024, doi: 10.3390/su16219410. DOI: https://doi.org/10.3390/su16219410
Z. Li, W. Lin, C.-W. Kim, M. P. Limongelli, and E. Chatzi, “A comprehensive review of indirect bridge health monitoring,” Mech. Syst. Signal Process., vol. 247, p. 113918, Mar. 2026, doi: 10.1016/j.ymssp.2026.113918. DOI: https://doi.org/10.1016/j.ymssp.2026.113918
Y. Lan, Z. Li, and W. Lin, “Physics-guided diagnosis framework for bridge health monitoring using raw vehicle accelerations,” Mech. Syst. Signal Process., vol. 206, p. 110899, Jan. 2024, doi: 10.1016/j.ymssp.2023.110899. DOI: https://doi.org/10.1016/j.ymssp.2023.110899
Z. Li, K. Feng, A. Markou, and W. Lin, “State‐of‐the‐art review of vibration‐based bridge health monitoring using Artificial Intelligence,” ce/papers, vol. 8, no. 5, pp. 56–65, Oct. 2025, doi: 10.1002/cepa.3377. DOI: https://doi.org/10.1002/cepa.3377
V. M. Di Mucci, A. Cardellicchio, S. Ruggieri, A. Nettis, V. Renò, and G. Uva, “Artificial intelligence in structural health management of existing bridges,” Autom. Constr., vol. 167, p. 105719, Nov. 2024, doi: 10.1016/j.autcon.2024.105719. DOI: https://doi.org/10.1016/j.autcon.2024.105719
R. Niyirora, W. Ji, E. Masengesho, J. Munyaneza, F. Niyonyungu, and R. Nyirandayisabye, “Intelligent damage diagnosis in bridges using vibration-based monitoring approaches and machine learning: A systematic review,” Results Eng., vol. 16, p. 100761, Dec. 2022, doi: 10.1016/j.rineng.2022.100761. DOI: https://doi.org/10.1016/j.rineng.2022.100761
V. Rillo, A. De Angelis, and G. Maddaloni, “Effective structural health monitoring (SHM) system for bridges: a case study,” Procedia Struct. Integr., vol. 64, pp. 700–707, 2024, doi: 10.1016/j.prostr.2024.09.332. DOI: https://doi.org/10.1016/j.prostr.2024.09.332
Y. Fujino, D. M. Siringoringo, T. Nagayama, and D. Su, “Proceedings of the IABSE-JSCE Joint Conference on Advances in Bridge Engineering-II, August 8-10, 2010, Dhaka, Bangladesh,” in Proceedings of the IABSE-JSCE Joint Conference on Advances in Bridge Engineering-II, Dhaka: Bangladesh Group of IABSE, 2010, pp. 61–74.
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Copyright (c) 2026 Madina Zarlykova, Denis Tsygulyov, Murat Karacasu
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