Investigation of Dynamic Response of a Railway Bridge Equipped with a Tailored SHM System

Abstract:

A railway bridge has been the object of investigation in the context of structural health monitoring (SHM). The current work is focused on utilization of experimental data for refining a numerical model of the structure as well as on tests of dynamic excitations using a controlled hydraulic shaker and passing trains. The numerical model has been matched to experimental measurements using experimental modal analysis - classical and operational. The tailored SHM system for monitoring of the bridge consists of 15 piezoelectric strain sensors taking advantage of wireless communication for data transfer. Experimental responses of the bridge collected by the SHM system are confronted with the ones produced by the FE numerical model of the bridge. The long-term objective of the investigation is to elaborate a method for assessment of structural condition and prediction of remaining lifetime of the bridge.

• Periodical: Key Engineering Materials (Volumes 569-570)
• Pages: 1068-1075
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.569-570.1068
• Online since: July 2013
• Authors: Przemysław Kołakowski, Arkadiusz Mroz, Damian Sala, Piotr Pawłowski, Krzysztof Sekuła, Andrzej Świercz
• Keywords: Bridge Monitoring, Experimental Measurements, Modal Analysis, Wireless SHM

References

[1] D. Sala, P. Pawlowski, P. Kolakowski, Wireless transmission dedicated to SHM of railway infrastructure, Proc. of the 5th European Workshop on Structural Health Monitoring – EWSHM'10, Sorrento, Italy, 28 June – 2 July (2010) 659-664.

[2] P. Kolakowski, K. Sekula, P. Pawlowski, D. Sala, A. Swiercz, Monitoring of railway traffic as a part of integrated SHM system, Proc. of the 6th European Workshop on Structural Health Monitoring – EWSHM'12, Dresden, Germany, 3 – 6 July (2012).

[3] P. Kolakowski, J. Szelazek, K. Sekula, A. Swiercz, K. Mizerski, P. Gutkiewicz, Structural health monitoring of a railway truss bridge using vibration-based and ultrasonic methods, Smart Materials and Structures, 20 (2011) 035016.

DOI: 10.1088/0964-1726/20/3/035016

[4] P. Kolakowski, D. Sala, K. Sekula, A. Swiercz, A method of monitoring the truss structure of a bridge and a system for monitoring the truss structure of a bridge, patent-pending application no. P. 387115, Polish Patent Office (2009).

[5] K. Sekula, P. Kolakowski, Piezo-based weigh-in-motion system for the railway transport, Structural Control & Health Monitoring, DOI: 10. 1002/stc. 416 (2010).

[6] A. Swiercz, P. Kolakowski, J. Holnicki-Szulc, Damage identification in skeletal structures using the virtual distortion method in frequency domain, Mechanical Systems and Signal Processing, 22(8) (2008) 1826-1839.

DOI: 10.1016/j.ymssp.2008.03.009

[7] NISA on www. nisasoftware. com.

[8] Bruel&Kjaer on www. bksv. com.

[9] B. Peeters and G. De Roeck. Reference-based stochastic subspace identification for output-only modal analysis, Mechanical Systems and Signal Processing, 13(6) (1999) 855-878.

DOI: 10.1006/mssp.1999.1249

[10] LMS on www. lmsintl. com.

[11] B. Peeters, H. van der Auweraer, F. Vanhollebeke, P. Guillaume, Operational modal analysis for estimating the dynamic properties of a stadium structure during a football game, Shock and Vibration, 14 (2007) 283-303.

DOI: 10.1155/2007/531739

[12] A. Swiercz, G. Mikulowski, R. Wiszowaty, C. Graczykowski, J. Holnicki-Szulc, P. Kolakowski, A method of generation of a prescribed impact to be applied to a structure and a device to apply such load, patent-pending application no. P. 397312, Polish Patent Office (2011).

[13] J. W. Zhan, H. Xia, S. Y. Chen, G. De Roeck, Structural damage identification for railway bridges based on train-induced bridge responses and sensitivity analysis, Journal of Sound and Vibration, 330 (2011) 757-770.

DOI: 10.1016/j.jsv.2010.08.031

[14] S. A. S. C. Siriwardane, M. Ohga, P. B. R. Dissanayake, T. Kaita, Structural appraisal-based different approach to estimate the remaining fatigue life of railway bridges, 9(4) (2010) 323-339.

DOI: 10.1177/1475921710361320