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.
| Published in | American Journal of Civil Engineering (Volume 2, Issue 2) |
| DOI | 10.11648/j.ajce.20140202.12 |
| Page(s) | 18-26 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Damage Detection, Experimental Modal Analysis, Structural Evaluation
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APA Style
Rolando Salgado, Gustavo Ayala, Paulo J. S. Cruz, Sergio A. Zamora. (2014). Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams. American Journal of Civil Engineering, 2(2), 18-26. https://doi.org/10.11648/j.ajce.20140202.12
ACS Style
Rolando Salgado; Gustavo Ayala; Paulo J. S. Cruz; Sergio A. Zamora. Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams. Am. J. Civ. Eng. 2014, 2(2), 18-26. doi: 10.11648/j.ajce.20140202.12
AMA Style
Rolando Salgado, Gustavo Ayala, Paulo J. S. Cruz, Sergio A. Zamora. Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams. Am J Civ Eng. 2014;2(2):18-26. doi: 10.11648/j.ajce.20140202.12
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Download@article{10.11648/j.ajce.20140202.12,
author = {Rolando Salgado and Gustavo Ayala and Paulo J. S. Cruz and Sergio A. Zamora},
title = {Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams},
journal = {American Journal of Civil Engineering},
volume = {2},
number = {2},
pages = {18-26},
doi = {10.11648/j.ajce.20140202.12},
url = {https://doi.org/10.11648/j.ajce.20140202.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20140202.12},
abstract = {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.},
year = {2014}
}
TY - JOUR T1 - Performance of Damage Detection Methods used in Bridge Structures through Dynamic Tests in Steel Beams AU - Rolando Salgado AU - Gustavo Ayala AU - Paulo J. S. Cruz AU - Sergio A. Zamora Y1 - 2014/03/20 PY - 2014 N1 - https://doi.org/10.11648/j.ajce.20140202.12 DO - 10.11648/j.ajce.20140202.12 T2 - American Journal of Civil Engineering JF - American Journal of Civil Engineering JO - American Journal of Civil Engineering SP - 18 EP - 26 PB - Science Publishing Group SN - 2330-8737 UR - https://doi.org/10.11648/j.ajce.20140202.12 AB - 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. VL - 2 IS - 2 ER -
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