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Topology optimization for a large-scale truss bridge using a hybrid metaheuristic search algorithm

Ngoc Hoa Tran (UGent) , H. Nguyen-Manh, H. Viet Tran, Q. Nguyen-Huu, N. Hoang-Thanh, T. Le-Xuan, T. Bui-Tien, N. Nguyen-Cam and Magd Abdel Wahab (UGent)
(2022) Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021). In Lecture Notes in Civil Engineering 204. p.37-48
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Abstract
This paper introduces a simple and effective method to optimize the weight and geometry of truss members of a large-scale truss bridge. Design variables comprise the redundant forces acting on the structure and the cross-sectional dimensions of truss members. The objective function is constraints on member stresses chosen to minimize the deviation between calculated and desired results. To increase global search capabilities, a hybrid metaheuristic algorithm (HGAPSO) combining genetic algorithm (GA) and particle swarm optimization (PSO) is employed to look for the best solution. The results show that HGAPSO not only provides the considered structure with a lighter weight than the original design but also outperforms the traditional optimization algorithm (GA, PSO) in terms of the search capacity for the most optimal solution.

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MLA
Tran, Ngoc Hoa, et al. “Topology Optimization for a Large-Scale Truss Bridge Using a Hybrid Metaheuristic Search Algorithm.” Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021), edited by Magd Abdel Wahab, vol. 204, Springer, 2022, pp. 37–48, doi:10.1007/978-981-16-7216-3_4.
APA
Tran, N. H., Nguyen-Manh, H., Tran, H. V., Nguyen-Huu, Q., Hoang-Thanh, N., Le-Xuan, T., … Abdel Wahab, M. (2022). Topology optimization for a large-scale truss bridge using a hybrid metaheuristic search algorithm. In M. Abdel Wahab (Ed.), Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021) (Vol. 204, pp. 37–48). https://doi.org/10.1007/978-981-16-7216-3_4
Chicago author-date
Tran, Ngoc Hoa, H. Nguyen-Manh, H. Viet Tran, Q. Nguyen-Huu, N. Hoang-Thanh, T. Le-Xuan, T. Bui-Tien, N. Nguyen-Cam, and Magd Abdel Wahab. 2022. “Topology Optimization for a Large-Scale Truss Bridge Using a Hybrid Metaheuristic Search Algorithm.” In Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021), edited by Magd Abdel Wahab, 204:37–48. Springer. https://doi.org/10.1007/978-981-16-7216-3_4.
Chicago author-date (all authors)
Tran, Ngoc Hoa, H. Nguyen-Manh, H. Viet Tran, Q. Nguyen-Huu, N. Hoang-Thanh, T. Le-Xuan, T. Bui-Tien, N. Nguyen-Cam, and Magd Abdel Wahab. 2022. “Topology Optimization for a Large-Scale Truss Bridge Using a Hybrid Metaheuristic Search Algorithm.” In Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021), ed by. Magd Abdel Wahab, 204:37–48. Springer. doi:10.1007/978-981-16-7216-3_4.
Vancouver
1.
Tran NH, Nguyen-Manh H, Tran HV, Nguyen-Huu Q, Hoang-Thanh N, Le-Xuan T, et al. Topology optimization for a large-scale truss bridge using a hybrid metaheuristic search algorithm. In: Abdel Wahab M, editor. Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021). Springer; 2022. p. 37–48.
IEEE
[1]
N. H. Tran et al., “Topology optimization for a large-scale truss bridge using a hybrid metaheuristic search algorithm,” in Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021), Ghent, Belgium, 2022, vol. 204, pp. 37–48.
@inproceedings{8729902,
  abstract     = {{This paper introduces a simple and effective method to optimize the weight and geometry of truss members of a large-scale truss bridge. Design variables comprise the redundant forces acting on the structure and the cross-sectional dimensions of truss members. The objective function is constraints on member stresses chosen to minimize the deviation between calculated and desired results. To increase global search capabilities, a hybrid metaheuristic algorithm (HGAPSO) combining genetic algorithm (GA) and particle swarm optimization (PSO) is employed to look for the best solution. The results show that HGAPSO not only provides the considered structure with a lighter weight than the original design but also outperforms the traditional optimization algorithm (GA, PSO) in terms of the search capacity for the most optimal solution.}},
  author       = {{Tran, Ngoc Hoa and Nguyen-Manh, H. and Tran, H. Viet and Nguyen-Huu, Q. and Hoang-Thanh, N. and Le-Xuan, T. and Bui-Tien, T. and Nguyen-Cam, N. and Abdel Wahab, Magd}},
  booktitle    = {{Proceedings of the 2nd International Conference on Structural Damage Modelling and Assessment (SDMA 2021)}},
  editor       = {{Abdel Wahab, Magd}},
  isbn         = {{9789811672156}},
  issn         = {{2366-2557}},
  language     = {{eng}},
  location     = {{Ghent, Belgium}},
  pages        = {{37--48}},
  publisher    = {{Springer}},
  title        = {{Topology optimization for a large-scale truss bridge using a hybrid metaheuristic search algorithm}},
  url          = {{http://doi.org/10.1007/978-981-16-7216-3_4}},
  volume       = {{204}},
  year         = {{2022}},
}
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