PSI - Issue 64

Cevdet Enes Cukaci et al. / Procedia Structural Integrity 64 (2024) 531–538 Cukaci and Soyoz/ Structural Integrity Procedia 00 (2024) 000 – 000

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issues caused by camera movement or lens distortion under different weather conditions, these effects can be eliminated. In conclusion, vision-based modal identification is proposed as a cost-effective, practical alternative for traditional structural monitoring methods, indicating its potential for broader application in the field. The study is ongoing, which the finite element model is developed and updated with cable tensions, and the frequencies of the deck and pylon are compared to verify the model. Acknowledgements The data provided by the General Directorate of Highways in Turkey, especially Mahmut Esat Partal, and the contributions of Arif Erdis from Gulsan Holding are gratefully acknowledged in this article. References Camara, A., Astiz, M. A., Ye, A. J., 2014. Fundamental mode estimation for modern cable-stayed bridges considering the tower flexibility. Journal of Bridge Engineering 19(6), 04014015/1-12. https://doi.org/10.1061/(asce)be.1943-5592.0000585 Cappello, C., Zonta, D., Laasri, H. A., Glisic, B., Wang, M., 2018. Calibration of elasto-magnetic sensors on in service cable-stayed bridges for stress monitoring. Sensors 18(466). https://doi.org/10.3390/s18020466 Cho, S., Yim, J., Shin, S. W., Jung, H.-J., Yun, C.-B., Wang, M. L., 2013. Comparative field study of cable tension measurement for a cable-stayed bridge. Journal of Bridge Engineering 18(8), 748 – 757. https://doi.org/10.1061/(asce)be.1943-5592.0000421 Feng, D., Feng, M. Q., 2018. Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review. Engineering Structures Vol. 156, pp. 105 – 117. Elsevier Ltd. https://doi.org/10.1016/j.engstruct.2017.11.018 Feng, D., Scarangello, T., Feng, M. Q., Ye, Q., 2017. Cable tension force estimate using novel noncontact vision based sensor. Measurement 99, 44 – 52. https://doi.org/10.1016/j.measurement.2016.12.020 Guo, T., Chen, Y. W., 2011. Field stress/displacement monitoring and fatigue reliability assessment of retrofitted steel bridge details. Engineering Failure Analysis 18, 354 – 363. https://doi.org/10.1016/j.engfailanal.2010.09.014 Kim, S. W., Park, D. U., Kim, J. S., Park, J. B., 2023. Estimating tension of a prestressed concrete cable-stayed bridge under construction and traffic use conditions using a vision-based system. Structures 47, 299 – 312. https://doi.org/10.1016/j.istruc.2022.11.067 Ko, J. M., Ni, Y. Q., 2005. Technology developments in structural health monitoring of large-scale bridges. Engineering Structures 27, 1715 – 1725. https://doi.org/10.1016/j.engstruct.2005.02.021 Li, H., Ou, J., Zhou, Z., 2009. Applications of optical fibre Bragg gratings sensing technology-based smart stay cables. Optics and Lasers in Engineering 47, 1077 – 1084. https://doi.org/10.1016/j.optlaseng.2009.04.016 Nassif, H. H., Gindy, M., Davis, J., 2005. Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration. NDT and E International 38, 213 – 218. https://doi.org/10.1016/j.ndteint.2004.06.012 Pipinato, A., Pellegrino, C., Fregno, G., Modena, C., 2012. Influence of fatigue on cable arrangement in cable stayed bridges. International Journal of Steel Structures 12(1), 107 – 123. https://doi.org/10.1007/s13296-012 1010-5 Russell, J. C., Lardner, T. J., 1998. Experimental determination of frequencies and tension for elastic cables. Journal of Engineering Mechanics 124(10), 1067 – 1072. VCE, 2020. Permanent bridge monitoring of the Komurhan Stay Cable Bridge Yang, Y., Li, S., Nagarajaiah, S., Li, H., Zhou, P., 2016. Real-time output-only identification of time-varying cable tension from accelerations via complexity pursuit. Journal of Structural Engineering 142(1), 04015083/1-10. https://doi.org/10.1061/(asce)st.1943-541x.0001337 Yüksel Project Inc. Wiecon Co. Doğus , Gülsan Co., 2012. Bridge project. In New Kömürhan Bridge. Zarbaf, S. E. H. A. M., Norouzi, M., Allemang, R. J., Hunt, V. J., Helmicki, A., Venkatesh, C., 2018. Ironton Russell Bridge: Application of vibration-based cable tension estimation. Journal of Structural Engineering 144(6), 04018066/1-17. https://doi.org/10.1061/(asce)st.1943-541x.0002054 Zui, H., Shinke, T., Namita, Y., 1996. Practical formulas for estimation of cable tension by vibration method. Journal of Structural Engineering 122(6), 651 – 656.