Monitoring Railway Bridge KW51 Before, During, and After Retrofitting
Publication: Journal of Bridge Engineering
Volume 26, Issue 3
Abstract
This paper presents a data set obtained from a monitoring campaign of 15 months on a steel bowstring railway bridge in Leuven, Belgium. In this period, the connections of the diagonals to the bridge deck and the arches were strengthened after the observation of damage. The monitoring consists of measurements of acceleration on the bridge deck and the arches, strain on the bridge deck and the diagonals connecting the bridge deck with the arches, strain on the rails, displacement at the bearings, and temperature and relative humidity. Data is provided for two train passages and six periods of ambient vibration per day. In addition, the evolution of the identified modal characteristics over time is added. The data set is well-suited for the validation of vibration-based structural health monitoring methods, as it includes data for different states of the structure, i.e., before, during, and after the retrofitting.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies. The data are available at Maes and Lombaert (2020), DOI 10.5281/zenodo.3745914.
Acknowledgments
Kristof Maes is a postdoctoral fellow of the Research Foundation Flanders (FWO), Belgium (Grant No. 12Q9218N). FWO also provided additional funding for the measurements by means of research grant 1511719N. The financial support by FWO is gratefully acknowledged. The authors would also like to thank Bernd Salaets, Jan Vander Auwera, Jimmy Van Criekingen, and Eli Hamels, for their help in the preparation and installation of the measurement systems, and Patricia Elsen for providing the environmental data. Finally, the authors thank Infrabel NV and TUC RAIL for allowing the publication of the data.
References
Allemang, R. J. 2003. “The modal assurance criterion – twenty years of use and abuse.” Sound Vib. Mag. 37 (8): 14–21.
Deraemaeker, A., E. Reynders, G. De Roeck, and J. Kullaa. 2008. “Vibration based structural health monitoring using output-only measurements under changing environment.” Mech. Syst. Sig. Process. 22 (1): 34–56. https://doi.org/10.1016/j.ymssp.2007.07.004.
Heylen, W., S. Lammens, and P. Sas. 1997. Modal analysis theory and testing. Leuven, Belgium: Dept. of Mechanical Engineering, Katholieke Universiteit Leuven.
Maes, K., and G. Lombaert. 2020. “Monitoring data for railway bridge KW51 in Leuven, Belgium, before, during, and after retrofitting. V1.0.” Zenodo. Accessed April 10, 2020. https://doi.org/10.5281/zenodo.3745914.
Magalhaẽs, F., A. Cunha, and E. Caetano. 2009. “Online automatic identification of the modal parameters of a long span arch bridge.” Mech. Syst. Sig. Process. 23 (2): 316–329. https://doi.org/10.1016/j.ymssp.2008.05.003.
Ni, Y., X. Hua, K. Fan, and J. Ko. 2005. “Correlating modal properties with temperature using long-term monitoring data and support vector machine technique.” Eng. Struct. 27 (12): 1762–1773. https://doi.org/10.1016/j.engstruct.2005.02.020.
Peeters, B., and G. De Roeck. 1999. “Reference-based stochastic subspace identification for output-only modal analysis.” Mech. Syst. Sig. Process. 13 (6): 855–878. https://doi.org/10.1006/mssp.1999.1249.
Reynders, E., G. Wursten, and G. De Roeck. 2014. “Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification.” Struct. Health Monit. 13 (1): 82–93. https://doi.org/10.1177/1475921713502836.
Sokal, R., and C. D. Michener. 1958. “A statistical method for evaluating systematic relationships.” Univ. Kansas Sci. Bull. 38: 1409–1438.
Spiridonakos, M., E. Chatzi, and B. Sudret. 2016. “Polynomial chaos expansion models for the monitoring of structures under operational variability.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 2 (3): B4016003. https://doi.org/10.1061/AJRUA6.0000872.
Wu, X., J. Ghaboussi, and J. Garrett. 1992. “Use of neural networks in detection of structural damage.” Comput. Struct. 42 (4): 649–659. https://doi.org/10.1016/0045-7949(92)90132-J.
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© 2021 American Society of Civil Engineers.
History
Received: May 13, 2020
Accepted: Sep 12, 2020
Published online: Jan 12, 2021
Published in print: Mar 1, 2021
Discussion open until: Jun 12, 2021
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