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Influence of asphalt removal on operational modal analysis of Egebækvej Bridge

  • Umut Yildirim (Department of Civil Engineering, Eastern Mediterranean University)
  • Received : 2022.09.13
  • Accepted : 2022.11.22
  • Published : 2023.02.25

Abstract

Using the most up-to-date system identification methods in both time and frequency domains, the dynamic monitoring data from the reinforced concrete Egebaekvej Bridge near Holte, Denmark, is examined in this investigation. The bridge was erected in the 1960s and was still standing during test campaign before demolishing. The ARTeMIS Modal was adopted to derive the modal parameters from ambient vibration data. Several Operational Modal Analysis (OMA) approaches were applied, including Enhanced Frequency Domain Decomposition (EFDD), Curve-fit Frequency Domain Decomposition (CFDD), and Frequency Domain Decomposition (FDD). Afterward, Principal Component (SSI-PC), Unweighted Principal Component (SSI-UPC) Stochastic Subspace Identification methods were utilized. Danish engineering consulting company, COWI with the allowance of the bridge contractor BARSLUND, allow the researcher for this experimental test to demonstrate the impact of OMA applications.

Keywords

Acknowledgement

Special thanks to Danish Road Agency for giving permission to use data and also Dr. Jacob Egede Andersen with Dr. Isaac Farreras Alcover from COWI with the purpose of conducting test campaign.

References

  1. ARTeMIS (2022), Ambient Response Testing and Modal Identification Software ARTeMIS Modal v7.2; Structural Vibration Solution A/S Aalborg East. Denmark. www.svibs.com
  2. Benveniste, A. and Fuchs, J.J. (1985), "Single sample modal identification of a non-stationary stochastic process", IEEE Transact. Automat. Control, AC-30(1), 66-74. https://doi.org/10.1109/TAC.1985.1103787
  3. Benveniste, A. and Mevel, L. (2007), "Nonstationary consistency of subspace methods", IEEE Transact. Automat. Control, 52(6), 974-984. https://doi.org/10.1109/TAC.2007.898970
  4. Bruel&kjaer, https://www.bksv.com/media/doc/bp2065.pdf
  5. Dohler, M. and Mevel, L. (2011a), "Robust subspace based fault detection", Proceedings of the 18th IFAC World Congress, Milan, Italy, August.
  6. Dohler, M. and Mevel, L. (2011b), "Modular subspace-based system identification from multi-setup measurements", Proceedings of the 50th IEEE Conference on Decision and Control, Orlando, FL, USA, December.
  7. Jacobsen, N.-J. (2006), "Separating structural modes and harmonic components in operational modal analysis", Proceedings of the IMAC XXIV Conference, St Louis, MI, USA, January.
  8. Jacobsen, N.-J., Andersen, P. and Brincker, R. (2007), "Eliminating the influence of harmonic components in operational modal analysis", Proceedings of the IMAC XXV Conference, Orlando, FL, USA, February.
  9. Li, Z., Feng, D., Feng, M.Q. and Xu, X. (2017), "System identification of the suspension tower of Runyang Bridge based on ambient vibration tests", Smart Struct. Syst., Int. J., 19(5), 523-538. https://doi.org/10.12989/sss.2017.19.5.523
  10. Mevel, L., Basseville, M., Benveniste, A. and Goursat, M. (2002a), "Merging sensor data from multiple measurement setups for nonstationary subspace-based modal analysis", J. Sound Vib., 249(4), 719-741. https://doi.org/10.1006/jsvi.2001.3880
  11. Mevel, L., Benveniste, A., Basseville, M. and Goursat, M. (2002b), "Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors", IEEE Transact. Signal Process., SP-50(1), p. 41-48. https://doi.org/10.1109/78.972480
  12. Ni, Y.Q., Wang, Y.W. and Xia, Y.X. (2015), "Investigation of mode identifiability of a cable-stayed bridge: comparison from ambient vibration responses and from typhoon-induced dynamic responses", Smart Struct. Syst., Int. J., 15(2), 447-468. https://doi.org/10.12989/sss.2015.15.2.447
  13. Park, K., Kim, S. and Torbol, M. (2016), "Operational modal analysis of reinforced concrete bridges using autoregressive model", Smart Struct. Syst., Int. J., 17(6), 1017-1030. https://doi.org/10.12989/sss.2016.17.6.1017
  14. Peeters, B. and De Roeck, G. (1999), "Reference-based stochastic subspace identification for output-only modal analysis", Mech. Syst. Signal Process., 13(6), 855-878. https://doi.org/10.1006/mssp.1999.1249
  15. Reynders, E., Pintelon, R. and De Roeck, G. (2008), "Uncertainty bounds on modal parameters obtained from stochastic subspace identification", Mech. Syst. Signal Process., 22(4), 948-969. https://doi.org/10.1016/j.ymssp.2007.10.009
  16. Tamura, Y., Yoshida, A., Zhang, L., Ito, T., Nakata, S. and Sato, K. (2005), "Examples of modal identification of structures in japan by fdd and mrd techniques", Proceedings of the 1st IOMAC, Copenhagen, Denmark, April.
  17. Uhlenbrock, S., Rosenow, S.-E. and Schlottmann, G. (2006), "Application of Operational Modal Analysis to Marine Structures", IOMAC Workshop, Aalborg, Denmark, May.
  18. Van Overschee, P. and De Moor, B. (1996), "Subspace Identification for Linear Systems: Theory, Implementation, Applications", Kluwer Academic Publishers, NY, USA. 
  19. Whelan, M.J., Gangone, M.V., Janoyan, K.D., Hoult, N.A., Middleton, C.R. and Soga, K. (2010), "Wireless operational modal analysis of a multi-span pre-stressed concrete bridge for structural identification", Smart Struct. Syst., Int. J., 6(5), 579-593. https://doi.org/10.12989/sss.2010.6.5_6.579
  20. Yamaguchi, H., Matsumoto, Y. and Yoshioka, T. (2015), "Effects of local structural damage in a steel truss bridge on internal dynamic coupling and modal damping", Smart Struct. Syst., Int. J., 15(3), 523-541. https://doi.org/10.12989/sss.2015.15.3.523
  21. Yi, J., Cho, S., Koo, K., Yun, C., Kim, J., Lee, C. and Lee, W. (2007), "Structural performance evaluation of a steel-plate girder bridge using ambient acceleration measurements", Smart Struct. Syst., Int. J., 3(3), 281-298. https://doi.org/10.12989/sss.2007.3.3.281