Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams
American Journal of Civil Engineering
Volume 2, Issue 2, March 2014, Pages: 18-26
Received: Jan. 31, 2014;
Published: Mar. 20, 2014
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Rolando Salgado, Faculty of Engineering, University of Veracruz, Veracruz, Mexico
Gustavo Ayala, Institute of Engineering, National Autonomous University of Mexico, Mexico
Paulo J. S. Cruz, Autonomous School of Architecture, University of Minho, Guimarães, Portugal
Sergio A. Zamora, Faculty of Engineering, University of Veracruz, Veracruz, Mexico
In this document, the performance of damage detection methods used for the evaluation of bridge structures was determined. To do that, these methods were applied to the experimental dynamic parameters obtained from cracked steel I beams. Different damage scenarios were simulated in the steel I beams through saw-cuts perpendicular to the longitudinal axis of the beams. The damage detection methods were evaluated under different damage scenarios tried to represent fatigue damage in bridge structures. Ambient vibration tests, before and after damage, were performed on analyzed beams and the obtained dynamic parameters were used for the damage detection procedure. For all the evaluated scenarios, only the first three mode shapes were taken into account. Results indicated high possibility of damage detection when the severity of damage increase, damage is close to a measuring point and far away from an inflexion point and/or the boundary conditions. It was found that Level I methods (just detection) are not confidence to detect damage. On the other hand, level II methods (location) had good performance for the most severe damage scenarios. It was found out that Wavelet based methods are the best choice for their application to bridge structures.
Paulo J. S. Cruz,
Sergio A. Zamora,
Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams, American Journal of Civil Engineering.
Vol. 2, No. 2,
2014, pp. 18-26.
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