Publicado

2019-04-01

Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge

Evaluación experimental de técnicas de identificación de daño basadas en vibraciones en un puente peatonal

DOI:

https://doi.org/10.15446/dyna.v86n209.73351

Palabras clave:

Damage identification, footbridge, damage locating vectors, artificial neural networks, curvature changes of modal shapes (en)
Identificación de daño, puente peatonal, vectores de localización de daño, redes neuronales artificiales, curvatura de formas modales (es)

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Autores/as

Failures of civil structures, such as bridges, due to natural events or anthropic loads can generate significant social and economic impacts. As an alternative for the identification of damage in these structures, dynamic structural health monitoring has been proposed. This paper presents the experimental evaluation of three damage identification techniques on a full-scale footbridge. One of the evaluated techniques is based on damage localization vectors; a second technique is based on changes in the curvature of the modal shapes, while the third technique uses a numerical model and artificial neural networks for locating the damaged section. Five scenarios of controlled damage were induced in the footbridge. Output-only ambient vibration tests were performed at each damage state and the results of the identification techniques were analyzed. The three implemented techniques showed promising results for the numerical simulations, and two of these techniques produced satisfactory results in the experimental evaluation.
Las fallas en estructuras civiles, como puentes, debidas a eventos naturales o cargas antrópicas, pueden generar impactos sociales y económicos significativos. Como alternativa para la identificación de daño en estas estructuras, se ha propuesto el monitoreo dinámico de salud estructural. Este artículo presenta la evaluación experimental de tres técnicas de identificación de daño en un puente peatonal en escala real. Una de las técnicas evaluadas está basada en vectores de localización de daño; una segunda técnica está basada en cambios de la curvatura de formas modales, mientas la tercera técnica utiliza un modelo numérico y redes neuronales artificiales para localizar la sección dañada. Cinco escenarios de daño controlado fueron inducidos en el puente. Ensayos de vibración ambiental con solo salidas fueron realizados para cada estado de daño y los resultados de las técnicas de identificación fueron analizados. Las tres técnicas implementadas muestran resultados prometedores para las simulaciones numéricas, y dos de estas técnicas produjeron resultados satisfactorios en la evaluación experimental.

Referencias

J. A. Sanchez, D. Goméz y P. Thomson. Análisis de la interacción humano-estructura en puentes peatonales de Santiago de Cali, DYNA, 80(177), pp. 86-94, 2013.

Carroll, S., J. Owen, and M. Hussein. A coupled biomechanical/discrete element crowd model of crowd–bridge dynamic interaction and application to the Clifton Suspension Bridge. Engineering Structures, 49, pp. 58-75, 2013.

Muñoz, E., Estudio de las causas del colapso de algunos puentes en Colombia. Ingeniería y Universidad, 6(1), pp. 33-48, 2002.

Beskhyroun, S., L.D. Wegner, and B.F. Sparling. New methodology for the application of vibration-based damage detection techniques. Structural Control and Health Monitoring, 19(8), pp. 632-649, 2012.

Cunha, A., et al., Recent perspectives in dynamic testing and monitoring of bridges. Structural Control and Health Monitoring, 20(6), pp. 853-877, 2013.

Lazcano, A., et al. Evaluación de Métodos de Detección de Daños en Estructuras Mediante el Uso de Vibraciones. in XVIII Congreso de Ingeniería Sísmica, Aguas Calientes, 2011.

Feng, D. and M.Q. Feng, Output-only damage detection using vehicle-induced displacement response and mode shape curvature index. Structural Control and Health Monitoring, 23(8), pp. 1088-1107, 2016.

Obrien, E.J. and A. Malekjafarian, A mode shape-based damage detection approach using laser measurement from a vehicle crossing a simply supported bridge. Structural Control and Health Monitoring, 23(10), pp. 1273-1286, 2016.

Bernal, D. Damage localization using load vectors. in European COST F3 Conference, 2000.

An, Y., et al., Rank-revealing QR decomposition applied to damage localization in truss structures. Structural Control and Health Monitoring, 24(2) , 2017.

Villalba Morales, J. D., Laier, J. E. Assessing the performance of a differential evolution algorithm in structural damage detection by varying the objective function, DYNA, 81(188), pp. 106-115, 2014.

Obrien, E., C. Carey, and J. Keenahan, Bridge damage detection using ambient traffic and moving force identification. Structural Control and Health Monitoring, 22(12), pp. 1396-1407, 2015.

Boumechra, N., Damage detection in beam and truss structures by the inverse analysis of the static response due to moving loads. Structural Control and Health Monitoring, 24(10), 2016.

Shih, H.W., D.P. Thambiratnam, and T.H.T. Chan, Damage detection in slab-on-girder bridges using vibration characteristics. Structural Control and Health Monitoring, 20(10), pp. 1271-1290, 2013.

Chen, B. and S. Nagarajaiah, Observer-based structural damage detection using genetic algorithm. Structural Control and Health Monitoring, 20(4), pp. 520-531, 2013.

Cury, A. and C. Crémona, Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts. Structural Control and Health Monitoring, 19(2), pp. 161-186, 2012.

Gu, J., M. Gul, and X. Wu, Damage detection under varying temperature using artificial neural networks. Structural Control and Health Monitoring, 2017.

Bernal, D., Load vectors for damage localization. Journal of Engineering Mechanics, 128(1), pp. 7-14, 2002.

Bernal, D. and B. Gunes. Damage localization in output-only systems: A flexibility based approach. in Proc. Of the International Modal Analysis Conference (IMAC) XX, 2002.

Pandey, A., M. Biswas, and M. Samman, Damage detection from changes in curvature mode shapes. Journal of sound and vibration, 145(2), pp. 321-332, 1991.

Carden, E.P. and P. Fanning, Vibration based condition monitoring: a review. Structural health monitoring, 3(4), pp. 355-377, 2004.

Mahu Sinclair, J.A., Detección de daños en una viga simple mediante anti-resonancias y redes neuronales. Universidad de Chile, 2012.

Van Overschee, P. & De Moor, B., Subspace Identification for Linear Systems: Theory - Implementation - Applications. Softcover reprint of the original 1st ed. 1996 edition, Boston,MA: Springer, 2011.

Pastor, M., M. Binda, and T. Harčarik, Modal assurance criterion. Procedia Engineering, 48, pp. 543-548, 2012.

Spencer,W.J., Fundamental Structural Analysis. Springer Science & Business Media, 1988.

Duan, Z., et al., Damage detection in ambient vibration using proportional flexibility matrix with incomplete measured DOFs. Structural Control and Health Monitoring, 14(2), pp. 186-196, 2007.

Cómo citar

IEEE

[1]
A. M. Panesso Libreros, J. Marulanda, y P. Thomson, «Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge», DYNA, vol. 86, n.º 209, pp. 9–16, abr. 2019.

ACM

[1]
Panesso Libreros, A.M., Marulanda, J. y Thomson, P. 2019. Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge. DYNA. 86, 209 (abr. 2019), 9–16. DOI:https://doi.org/10.15446/dyna.v86n209.73351.

ACS

(1)
Panesso Libreros, A. M.; Marulanda, J.; Thomson, P. Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge. DYNA 2019, 86, 9-16.

APA

Panesso Libreros, A. M., Marulanda, J. & Thomson, P. (2019). Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge. DYNA, 86(209), 9–16. https://doi.org/10.15446/dyna.v86n209.73351

ABNT

PANESSO LIBREROS, A. M.; MARULANDA, J.; THOMSON, P. Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge. DYNA, [S. l.], v. 86, n. 209, p. 9–16, 2019. DOI: 10.15446/dyna.v86n209.73351. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/73351. Acesso em: 20 mar. 2026.

Chicago

Panesso Libreros, Angélica María, Johannio Marulanda, y Peter Thomson. 2019. «Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge». DYNA 86 (209):9-16. https://doi.org/10.15446/dyna.v86n209.73351.

Harvard

Panesso Libreros, A. M., Marulanda, J. y Thomson, P. (2019) «Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge», DYNA, 86(209), pp. 9–16. doi: 10.15446/dyna.v86n209.73351.

MLA

Panesso Libreros, A. M., J. Marulanda, y P. Thomson. «Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge». DYNA, vol. 86, n.º 209, abril de 2019, pp. 9-16, doi:10.15446/dyna.v86n209.73351.

Turabian

Panesso Libreros, Angélica María, Johannio Marulanda, y Peter Thomson. «Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge». DYNA 86, no. 209 (abril 1, 2019): 9–16. Accedido marzo 20, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/73351.

Vancouver

1.
Panesso Libreros AM, Marulanda J, Thomson P. Experimental evaluation of vibration based damage identification techniques on a pedestrian bridge. DYNA [Internet]. 1 de abril de 2019 [citado 20 de marzo de 2026];86(209):9-16. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/73351

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CrossRef Cited-by

CrossRef citations2

1. Saima Ali, David Thambiratnam, Sabrina Fawzia, Khac Duy Nguyen, Haden Van Den Elsen, Ignacio Alvear Fujii. (2022). Damage detection of an innovative composite slab-girder pedestrian bridge using vibration characteristics. Structure and Infrastructure Engineering, 18(6), p.807. https://doi.org/10.1080/15732479.2021.1880447.

2. Sebastián Castellanos-Toro, Angélica M. Panesso, Johannio Marulanda, Albert R. Ortiz, Alejandro Cruz, Peter Thomson. (2023). Evaluation of experimental techniques for performance estimation of post-tensioned concrete beams. Construction and Building Materials, 393, p.132131. https://doi.org/10.1016/j.conbuildmat.2023.132131.

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