Abstract
This paper presents an approach for damage identification in a steel structure using Cuckoo Search (CS) algorithm. CS is an evolutionary algorithm based on global search techniques, which provides a higher opportunity for seeking the best solution and avoid local minima. A steel beam calibrated on experimental modal analysis is applied to assess the efficiency of the proposed algorithm. While a finite element (FE) model is created using MATLAB to estimate structural dynamic behavior, measurement is carried out using excitation sources of a hammer. Dynamic characteristics are selected as an objective function to minimize the discrepancy between the results of numerical model and measurements. The results show that the proposed algorithm can accurately identify damage location and extents in the considered structure.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sampaio, R., Maia, N., Silva, J.: Damage detection using the frequency-response-function curvature method. J. Sound Vib. 226(5), 1029–1042 (1999)
Kaveh, A., Dadras, A.: Structural damage identification using an enhanced thermal exchange optimization algorithm. Eng. Optim. 50(3), 430–451 (2018)
Zare Hosseinzadeh, A., Ghodrati Amiri, G., Koo, K.-Y.: Optimization-based method for structural damage localization and quantification by means of static displacements computed by flexibility matrix. Eng. Optim. 48(4), 543–561 (2016)
Villalba, J., Laier, J.E.: Localising and quantifying damage by means of a multi-chromosome genetic algorithm. Adv. Eng. Softw. 50, 150–157 (2012)
Messina, A., Williams, E., Contursi, T.: Structural damage detection by a sensitivity and statistical-based method. J. Sound Vib. 216(5), 791–808 (1998)
Samir, K., Brahim, B., Capozucca, R., Wahab, M.A.: Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm. Compos. Struct. 1(187), 344–353 (2018)
Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T., Nguyen-Ngoc, L., Abdel Wahab, M.: Model updating for Nam O bridge using particle swarm optimization algorithm and genetic algorithm. Sensors 18(12), 4131 (2018)
Khatir, S., Wahab, M.A.: Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm. Eng. Fract. Mech. 1(205), 285–300 (2019)
Yang, X.S., Deb, S.: Cuckoo search via Lévy flights. In Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on 2009 December 9, pp. 210–214. IEEE
Dooms, D., Jansen, M., De Roeck, G., et al.: StaBIL: A Finite Element Toolbox for Matlab. Version 2.0 User’s Guide, 2010
Khatir, S., Wahab, M.A., Djilali, B., Khatir, T.: Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis. J. Sound Vib. 448, 230–246 (2019)
Acknowledgments
The authors acknowledge the financial support of VLIR-OUS TEAM Project, VN2018TEA479A103, ‘Damage assessment tools for Structural Health Monitoring of Vietnamese infrastructures’, funded by the Flemish Government. Moreover, the first author acknowledges the financial supports from University of Transport and Communications (UTC) under the project research “T2019- 02TĐ”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Tran-Ngoc, H., Khatir, S., De Roeck, G., Bui-Tien, T., Abdel Wahab, M. (2020). Damage Assessment in Beam-Like Structures Using Cuckoo Search Algorithm and Experimentally Measured Data. In: Wahab, M. (eds) Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-8331-1_27
Download citation
DOI: https://doi.org/10.1007/978-981-13-8331-1_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8330-4
Online ISBN: 978-981-13-8331-1
eBook Packages: EngineeringEngineering (R0)