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Application of slime mould optimization algorithm on structural damage identification of suspension footbridge

Ngoc Lan Nguyen (UGent) , Samir Khatir (UGent) , Huu-Quyet Nguyen, Tran Hieu Nguyen (UGent) , Dung Bui-Ngoc, Magd Abdel Wahab (UGent) and Thanh Bui-Tien
(2023) Recent advances in structural health monitoring and engineering structures : select proceedings of SHM and ES 2022. In Lecture notes in mechanical engineering p.405-415
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Abstract
Structural health monitoring (SHM) of civil engineering infrastructure, especially of bridges, has played a vital role in ensuring the safety as well as the integrity of the whole structure. SHM system enables inspectors to detect structural damage while it is still at its primal stage, thus reduces significantly the maintenance cost of the structure. Many researchers have focused on applying optimization techniques to improve the effectiveness of damage detection tool, especially those of natural-inspired algorithms. In this paper, we introduce an application of slime mould algorithm (SMA)—a novel metaheuristic optimization algorithm to solve the damage detection problem of a suspension footbridge. The highly accurate result shows that SMA is effective not only in detecting but also in localizing damages on the bridge.

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MLA
Nguyen, Ngoc Lan, et al. “Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge.” Recent Advances in Structural Health Monitoring and Engineering Structures : Select Proceedings of SHM and ES 2022, edited by Ravipudi Venkata Rao et al., Springer, 2023, pp. 405–15, doi:10.1007/978-981-19-4835-0_35.
APA
Nguyen, N. L., Khatir, S., Nguyen, H.-Q., Nguyen, T. H., Bui-Ngoc, D., Abdel Wahab, M., & Bui-Tien, T. (2023). Application of slime mould optimization algorithm on structural damage identification of suspension footbridge. In R. Venkata Rao, S. Khatir, & T. Cuong-Le (Eds.), Recent advances in structural health monitoring and engineering structures : select proceedings of SHM and ES 2022 (pp. 405–415). https://doi.org/10.1007/978-981-19-4835-0_35
Chicago author-date
Nguyen, Ngoc Lan, Samir Khatir, Huu-Quyet Nguyen, Tran Hieu Nguyen, Dung Bui-Ngoc, Magd Abdel Wahab, and Thanh Bui-Tien. 2023. “Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge.” In Recent Advances in Structural Health Monitoring and Engineering Structures : Select Proceedings of SHM and ES 2022, edited by Ravipudi Venkata Rao, Samir Khatir, and Thanh Cuong-Le, 405–15. Springer. https://doi.org/10.1007/978-981-19-4835-0_35.
Chicago author-date (all authors)
Nguyen, Ngoc Lan, Samir Khatir, Huu-Quyet Nguyen, Tran Hieu Nguyen, Dung Bui-Ngoc, Magd Abdel Wahab, and Thanh Bui-Tien. 2023. “Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge.” In Recent Advances in Structural Health Monitoring and Engineering Structures : Select Proceedings of SHM and ES 2022, ed by. Ravipudi Venkata Rao, Samir Khatir, and Thanh Cuong-Le, 405–415. Springer. doi:10.1007/978-981-19-4835-0_35.
Vancouver
1.
Nguyen NL, Khatir S, Nguyen H-Q, Nguyen TH, Bui-Ngoc D, Abdel Wahab M, et al. Application of slime mould optimization algorithm on structural damage identification of suspension footbridge. In: Venkata Rao R, Khatir S, Cuong-Le T, editors. Recent advances in structural health monitoring and engineering structures : select proceedings of SHM and ES 2022. Springer; 2023. p. 405–15.
IEEE
[1]
N. L. Nguyen et al., “Application of slime mould optimization algorithm on structural damage identification of suspension footbridge,” in Recent advances in structural health monitoring and engineering structures : select proceedings of SHM and ES 2022, Hanoi, Vietnam, 2023, pp. 405–415.
@inproceedings{01GVQA6VV4G4QHZ4T4CWHC3Q5T,
  abstract     = {{Structural health monitoring (SHM) of civil engineering infrastructure, especially of bridges, has played a vital role in ensuring the safety as well as the integrity of the whole structure. SHM system enables inspectors to detect structural damage while it is still at its primal stage, thus reduces significantly the maintenance cost of the structure. Many researchers have focused on applying optimization techniques to improve the effectiveness of damage detection tool, especially those of natural-inspired algorithms. In this paper, we introduce an application of slime mould algorithm (SMA)—a novel metaheuristic optimization algorithm to solve the damage detection problem of a suspension footbridge. The highly accurate result shows that SMA is effective not only in detecting but also in localizing damages on the bridge.}},
  author       = {{Nguyen, Ngoc Lan and Khatir, Samir and Nguyen, Huu-Quyet and Nguyen, Tran Hieu and Bui-Ngoc, Dung and Abdel Wahab, Magd and Bui-Tien, Thanh}},
  booktitle    = {{Recent advances in structural health monitoring and engineering structures : select proceedings of SHM and ES 2022}},
  editor       = {{Venkata Rao, Ravipudi and Khatir, Samir and Cuong-Le, Thanh}},
  isbn         = {{9789811948343}},
  issn         = {{2195-4356}},
  language     = {{eng}},
  location     = {{Hanoi, Vietnam}},
  pages        = {{405--415}},
  publisher    = {{Springer}},
  title        = {{Application of slime mould optimization algorithm on structural damage identification of suspension footbridge}},
  url          = {{http://dx.doi.org/10.1007/978-981-19-4835-0_35}},
  year         = {{2023}},
}
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