Dynamic characterization and seismic performance evaluation of multi-span flyover bridge using ambient vibration testing and finite element modeling

Arief Kusbiantoro
Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang 50229, Indonesia
Rini Kusumawardani
Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang 50229, Indonesia
Endah Kanti Pangestuti
Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang 50229, Indonesia
Faridh Rizal Rivandhani
Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang 50229, Indonesia
Anindya Cirila
Department of Civil Engineering, Faculty of Engineering, Universitas Negeri Semarang, Semarang 50229, Indonesia
Sri Sutrisni
Central Java Provincial Public Works and Highways Agency, Semarang 50144, Indonesia
Noorsuhada Md Nor
Faculty of Civil Engineering, Universiti Teknologi MARA Cawangan Pulau Pinang, Permatang Pauh 13500, Malaysia

Article ID: 4615

Keywords: ambient vibration measurement; finite element model; seismic response; flyover bridge; lead rubber bearing; structural health monitoring

Abstract

This study aims to evaluate the dynamic and seismic performance of an eight-span flyover bridge with a total length of 331 m using a combination of ambient vibration testing, finite element modeling, and non-linear seismic time-history analysis. The velocity data recorded during normal operation were evaluated using the Fast Fourier Transform to calculate the bridge's predominant natural frequency and validate a three-dimensional CSiBridge model. The natural frequencies obtained from the field measurement and numerical model were 3.670 Hz and 3.727 Hz, respectively, with a difference of 1.53%, which indicates reasonable agreement in the dominant frequency. The validated model was then analyzed by using artificial ground motions scaled to the required response spectrum with 5% damping. The seismic responses of the bridge piers were studied in terms of displacement, shear force, bending moment and axial force in the X and Y directions. The data suggest that the strongest seismic demands were focused at the middle piers, particularly at Pier 4. Furthermore, the comparison of the present bridge condition and the bridge with lead rubber bearings showed that the bearings reduced the displacement, shear force, and bending moment responses considerably. The results demonstrate that the model validation based on the vibration data provides a preliminary basis for subsequent seismic response analysis, and the lead rubber bearing can improve the seismic performance of multi-span flyover bridges efficiently.

Published

2026-09-01

How to Cite

Kusbiantoro, A., Kusumawardani, R., Pangestuti, E. K., Rivandhani, F. R., Cirila, A., Sutrisni, S., & Md Nor, N. (2026). Dynamic characterization and seismic performance evaluation of multi-span flyover bridge using ambient vibration testing and finite element modeling. Sound & Vibration, 60(6). https://doi.org/10.59400/sv4615

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Issue

Vol. 60 No. 6 (2026): In Progress

Section

Article

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

[1]Aroquipa H, Hurtado A, Angel C. Methodological framework for integrating structural health monitoring and digital-twin models for seismic assessment of heritage buildings: Case study of Basilica Maria Auxiliadora, Lima, Peru. Structures. 2025; 80: 110115. doi: 10.1016/j.istruc.2025.110115

[2]Reuland Y, Garcia-Ramonda L, Martakis P, et al. A full-scale case study of vibration-based structural health monitoring of bridges: Prospects and open challenges. Ce/Papers. 2023; 6(5): 329–336. doi: 10.1002/cepa.2001

[3]Siringoringo DM, Fujino Y, Suzuki M. Long-term continuous seismic monitoring of multi-span highway bridge and evaluation of bearing condition by wireless sensor network. Engineering Structures. 2023; 276: 115372. doi: 10.1016/j.engstruct.2022.115372

[4]Chen CC, Wu WH, Shih F, et al. Scour evaluation for foundation of a cable-stayed bridge based on ambient vibration measurements of superstructure. NDT & E International. 2014; 66: 16–27. doi: 10.1016/j.ndteint.2014.04.005

[5]Zhan J, Wang Y, Zhang F, et al. Scour depth evaluation of highway bridge piers using vibration measurements and finite element model updating. Engineering Structures. 2022; 253: 113815. doi: 10.1016/j.engstruct.2021.113815

[6]Wu WH, Chen CC, Kusbiantoro A, et al. Finite element model of a cable-stayed bridge updated with vibration measurements and its application to investigate the variation of modal frequencies in monitoring. Structure and Infrastructure Engineering. 2024; 20(5): 760–770. doi: 10.1080/15732479.2022.2132517

[7]Chen CC, Wu WH, Kusbiantoro A, et al. Necessity investigation of tie-down devices for single-pylon cable-stayed bridges to resist near-fault earthquakes with finite element models updated by vibration measurements. Structure and Infrastructure Engineering. 2025; 21(4): 563–578. doi: 10.1080/15732479.2023.2225053

[8]Kusbiantoro A, Kusumawardani R, Wirawan AB, et al. Assessment of dynamic properties and finite element model on single-span concrete girder bridge. International Journal of Engineering. 2026; 39(3): 727–738. doi: 10.5829/ije.2026.39.03c.13

[9]Liang X, Du C, Li ZX. Influence of tri-directional excitation and wave-passage effect on seismic response of a long-span reinforced concrete deck-type arch bridge: Shake table test. Soil Dynamics and Earthquake Engineering. 2025; 198: 109552. doi: 10.1016/j.soildyn.2025.109552

[10]Wang C, Liu R, Fu L, et al. Seismic performance investigation of external arched energy-dissipation links in precast segmental concrete-filled steel-tube bridge piers. Structures. 2025; 81: 110172. doi: 10.1016/j.istruc.2025.110172

[11]Al-Haaj M, Wang S, Al-Shaebi R, et al. Seismic performance of unbonded posttensioned precast hollow segmental bridge piers under biaxial lateral loading. Structures. 2025; 76: 108985. doi: 10.1016/j.istruc.2025.108985

[12]Dong H, Fan G, Huang J, et al. Shaking table tests of the influence of pile–soil interaction on seismic responses of self-centering rocking bridge piers. Soil Dynamics and Earthquake Engineering. 2026; 200(Part B): 109837. doi: 10.1016/j.soildyn.2025.109837

[13]Jia K, El Naggar MH, Xu C, et al. Seismic behavior of piles-supported pier–superstructure to liquefaction-induced lateral spreading considering variability of soil permeability. Canadian Geotechnical Journal. 2025; 62: 1–22. doi: 10.1139/cgj-2023-0749

[14]Chen P, Pan J, Hu F, et al. Experimental investigation on earthquake-resilient steel beam-to-column joints with replaceable buckling-restrained fuses. Journal of Constructional Steel Research. 2022; 196: 107413. doi: 10.1016/j.jcsr.2022.107413

[15]Jiao C, Wang K, Ma H, et al. Shaking table test study on seismic performance of a curved bridge with concave island-type variable pier height. Soil Dynamics and Earthquake Engineering. 2025; 199: 109702. doi: 10.1016/j.soildyn.2025.109702

[16]Shen Y, Freddi F, Li Y, et al. Shaking table tests of seismic-resilient post-tensioned reinforced concrete bridge piers with enhanced bases. Engineering Structures. 2024; 305: 117690. doi: 10.1016/j.engstruct.2024.117690

[17]Tajali M, Ataei S, Miri A, et al. Seismic assessment of a railway masonry arch bridge using sensor-based model updating. Proceedings of the Institution of Civil Engineers – Bridge Engineering. 2025; 178(1): 3–14. doi: 10.1680/jbren.22.00019

[18]Ni Z, Zhan J, Xu X, et al. A rapid damage identification method for highway bridge double-column piers based on longitudinal dynamic stiffness. Engineering Failure Analysis. 2025; 182(Part C): 110192. doi: 10.1016/j.engfailanal.2025.110192

[19]Rashedi SH, Rahai A. Experimental and numerical advances in seismic assessment of continuous RC rigid-frame bridges: A review. Results in Engineering. 2025; 26: 105656. doi: 10.1016/j.rineng.2025.105656

[20]Wang M, Yin J, Xiong C, et al. Dynamic monitoring and characteristic analysis of a long-span operational bridge from high-rate sensor responses using the RAAVMD approach. Measurement. 2025; 244: 116498. doi: 10.1016/j.measurement.2024.116498

[21]Wang W, Wang S, Fu J. Intelligent identification of the evolution process of damage on RC bridge piers under vessel collision considering multi-hazards. Ocean Engineering. 2025; 322: 120434. doi: 10.1016/j.oceaneng.2025.120434

[22]Lin S, Zhang S, Zhang B, et al. Impact response of hybrid FRP-concrete-steel double-skin tubular bridge piers with fixed-simply supported boundary conditions: Experimental study and FE analysis. Structures. 2025; 75: 108730. doi: 10.1016/j.istruc.2025.108730

[23]Wang J, Xu W, Wang J, et al. Experimental and numerical investigation on the dynamic performance of cast-in-place and precast hollow ultra-high piers under longitudinal impact. Thin-Walled Structures. 2025; 208: 112850. doi: 10.1016/j.tws.2024.112850

[24]Wang J, Xu W, Wang J, et al. Experimental and numerical investigation on the dynamic response of RC ultra-high piers under multiple impacts. Structures. 2025; 75: 108855. doi: 10.1016/j.istruc.2025.108855

[25]Yao Y, Zhu B, Jiang N, et al. Experimental study on the dynamic response of a double-column viaduct pier under the action of blasting vibration. Structures. 2025; 76: 108939. doi: 10.1016/j.istruc.2025.108939

[26]Wu X, Yuan W, Guo A. Experimental study on seismic performance of precast bridge piers with corrosion-damaged grouted sleeve connections. Structures. 2025; 75: 108699. doi: 10.1016/j.istruc.2025.108699

[27]Zhou X, Zhou M, Gao Y, et al. An evaluation study on the cumulative impact damages of reinforced concrete piers based on modal frequencies. Engineering Failure Analysis. 2021; 119: 104983. doi: 10.1016/j.engfailanal.2020.104983

[28]Saeed MN. Simultaneous force and deformation control of cable arch stayed bridges. Kufa Journal of Engineering. 2019; 10(4): 66–75. doi: 10.30572/2018/KJE/100406

[29]Hussain HK. Strengthening concrete hollow-section girder bridge using polyurethane–cement material (Part B). Kufa Journal of Engineering. 2018; 9(1): 23–41. doi: 10.30572/2018/KJE/090102

[30]Kamonna HH, Abd Al-Sada DJ. Effect of near-surface mounted bars on the structural behavior of one-way RC slab. Kufa Journal of Engineering. 2021; 12(3): 12–30. doi: 10.30572/2018/kje/120302

[31]Aljidda O, El Refai A, Alnahhal W. Experimental and numerical investigation of the flexural behavior of one-way RC slabs strengthened with near-surface mounted and externally bonded systems. Construction and Building Materials. 2024; 421: 135709. doi: 10.1016/j.conbuildmat.2024.135709

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