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Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge
https://orcid.org/http://orcid.org/0000-0001-8506-9979
https://orcid.org/http://orcid.org/0000-0002-8101-3633
https://orcid.org/http://orcid.org/0000-0001-7186-4509
https://orcid.org/http://orcid.org/0000-0002-3007-6554
https://orcid.org/http://orcid.org/0000-0001-9934-7474
https://orcid.org/http://orcid.org/0000-0002-3610-865X
https://orcid.org/http://orcid.org/0000-0002-5811-4946
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.
Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge
https://orcid.org/http://orcid.org/0000-0001-8506-9979
https://orcid.org/http://orcid.org/0000-0002-8101-3633
https://orcid.org/http://orcid.org/0000-0001-7186-4509
https://orcid.org/http://orcid.org/0000-0002-3007-6554
https://orcid.org/http://orcid.org/0000-0001-9934-7474
https://orcid.org/http://orcid.org/0000-0002-3610-865X
https://orcid.org/http://orcid.org/0000-0002-5811-4946
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.
Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge
https://orcid.org/http://orcid.org/0000-0001-8506-9979
https://orcid.org/http://orcid.org/0000-0002-8101-3633
https://orcid.org/http://orcid.org/0000-0001-7186-4509
https://orcid.org/http://orcid.org/0000-0002-3007-6554
https://orcid.org/http://orcid.org/0000-0001-9934-7474
https://orcid.org/http://orcid.org/0000-0002-3610-865X
https://orcid.org/http://orcid.org/0000-0002-5811-4946
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.
Application of Slime Mould Optimization Algorithm on Structural Damage Identification of Suspension Footbridge
Lect.Notes Mechanical Engineering
Rao, Ravipudi Venkata (editor) / Khatir, Samir (editor) / Cuong-Le, Thanh (editor) / Ngoc-Nguyen, Lan (author) / Khatir, Samir (author) / Nguyen, Huu-Quyet (author) / Nguyen-Tran, Hieu (author) / Bui-Ngoc, Dung (author) / Wahab, Magd Abdel (author) / Bui-Tien, Thanh (author)
Recent Advances in Structural Health Monitoring and Engineering Structures ; Chapter: 35 ; 405-415
2022-12-17
11 pages
Article/Chapter (Book)
Electronic Resource
English
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