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Damage assessment in beam-like structures using Cuckoo Search algorithm and experimentally measured data

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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.

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MLA
Tran, Ngoc Hoa, et al. “Damage Assessment in Beam-like Structures Using Cuckoo Search Algorithm and Experimentally Measured Data.” Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019), edited by Magd Abdel Wahab, Springer, 2020, pp. 380–85, doi:10.1007/978-981-13-8331-1_27.
APA
Tran, N. 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 M. Abdel Wahab (Ed.), Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019) (pp. 380–385). https://doi.org/10.1007/978-981-13-8331-1_27
Chicago author-date
Tran, Ngoc Hoa, Samir Khatir, G. De Roeck, T. Bui-Tien, and Magd Abdel Wahab. 2020. “Damage Assessment in Beam-like Structures Using Cuckoo Search Algorithm and Experimentally Measured Data.” In Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019), edited by Magd Abdel Wahab, 380–85. Springer. https://doi.org/10.1007/978-981-13-8331-1_27.
Chicago author-date (all authors)
Tran, Ngoc Hoa, Samir Khatir, G. De Roeck, T. Bui-Tien, and Magd Abdel Wahab. 2020. “Damage Assessment in Beam-like Structures Using Cuckoo Search Algorithm and Experimentally Measured Data.” In Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019), ed by. Magd Abdel Wahab, 380–385. Springer. doi:10.1007/978-981-13-8331-1_27.
Vancouver
1.
Tran NH, Khatir S, De Roeck G, Bui-Tien T, Abdel Wahab M. Damage assessment in beam-like structures using Cuckoo Search algorithm and experimentally measured data. In: Abdel Wahab M, editor. Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019). Springer; 2020. p. 380–5.
IEEE
[1]
N. H. Tran, S. Khatir, G. De Roeck, T. Bui-Tien, and M. Abdel Wahab, “Damage assessment in beam-like structures using Cuckoo Search algorithm and experimentally measured data,” in Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019), Porto, Portugal, 2020, pp. 380–385.
@inproceedings{8623142,
  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.}},
  author       = {{Tran, Ngoc Hoa and Khatir, Samir and De Roeck, G. and Bui-Tien, T. and Abdel Wahab, Magd}},
  booktitle    = {{Proceedings of the 13th International Conference on Damage Assessment of Structures (DAMAS 2019)}},
  editor       = {{Abdel Wahab, Magd}},
  isbn         = {{9789811383304}},
  issn         = {{2195-4356}},
  language     = {{eng}},
  location     = {{Porto, Portugal}},
  pages        = {{380--385}},
  publisher    = {{Springer}},
  title        = {{Damage assessment in beam-like structures using Cuckoo Search algorithm and experimentally measured data}},
  url          = {{http://dx.doi.org/10.1007/978-981-13-8331-1_27}},
  year         = {{2020}},
}

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