The potential application of artificial rabbits optimization algorithm in diagnosing damages in suspension footbridge
Email:
nttoan@utc.edu.vn
Keywords:
artificial rabbit optimization algorithm, diagnosing damages, suspension footbridge
Abstract
Detecting damage in transportation infrastructure structures es is particularly important to ensure safety and structural integrity. Using optimal algorithms in structural health monitoring has shown promising results in recent years. Among them, the artificial rabbits optimization (ARO) algorithm is one of the newest optimal algorithms applied to many optimization problems, including structural health monitoring. This article introduces the potential of ARO in diagnosing damage to suspension footbridge. A finite element model of the bridge will be built, and scenarios of damage will be simulated. The results show that ARO is effective in identifying damage in structures and its performance is equivalent to other optimal algorithms such as the teaching-learning-based optimization algorithm (TLBO), the cuckoo search algorithm (CS), the genetic algorithm (GA), and the swarm optimization algorithm (PSO). Moreover, ARO demonstrates superiority in terms of accuracy and computation timeReferences
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[2]. G. M. Roberto, R. Sánchez-García, J. A. Escobar-Sanchez, L.M. Arenas-García, M.A. Mendoza-Salas, O. N. Rosales-González, Monitoring two cable-stayed bridges during load tests with fiber optics, Structures, 33 (2021) 4344-4358. https://doi.org/10.1016/j.istruc.2021.07.026
[3]. S. W. Doebling, C. R. Farrar, M. B. Prime, D. W. Shevitz, Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, 1996. https://doi.org/10.2172/249299
[4]. L.Sun, Z. Shang, Y. Xia, S. Bhowmick, S. Nagarajaiah, Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection, Journal of Structural Engineering, 5 (2020) 04020073. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002535
[5]. H. Tran-Ngoc, S. Khatir, G. De Roeck, T. Bui-Tien, M. Abdel Wahab, An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm. Engineering Structures, 199 (2019) 109637. https://doi.org/10.1016/j.engstruct.2019.109637
[6]. J.-H. Chou, J. Ghaboussi, Genetic algorithm in structural damage detection, Computers & Structures, 79 (2001) 1335–1353. https://doi.org/10.1016/S0045-7949(01)00027-X
[7]. Z. Wei, J. Liu, Z. Lu, Structural damage detection using improved particle swarm optimization. Inverse Problems in Science and Engineering, 26 (2018) 792–810. https://doi.org/10.1080/17415977.2017.1347168
[8]. S. Khatir, T. Khatir, D. Boutchicha, C. Le -Thanh, H. Tran-Ngoc, T.Q. Bui, R. Capozucca, M. Abdel Wahab, An efficient hybrid TLBO-PSO-ANN for fast damage identification in steel beam structures using IGA, Smart Structures and Systems, 25 (2020) 605–617. https://doi.org/10.12989/SSS.2020.25.5.605
[9]. L. Wang, Q. Cao, Z. Zhang, S. Mirjalili, W. Zhao, Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems, Engineering Applications of Artificial Intelligence, 114 (2022) 105082 https://doi.org/10.1016/j.engappai.2022.105082
[10]. S. François, M. Schevenels, D. Dooms, M. Jansen, J. Wambacq, G. Lombaert, G. Degrande, G. De Roeck, Stabil, An educational Matlab toolbox for static and dynamic structural analysis, Comput Appl Eng Educ, 29 (2021) 1372–1389. https://doi.org/10.1002/cae.22391.
[11]. L. Ngoc-Nguyen, H. Tran-Ngoc, S. Khatir et al., Damage assessment of suspension footbridge using vibration measurement data combined with a hybrid bee-genetic algorithm, Sci Rep, 12 (2022) 20143. https://doi.org/10.1038/s41598-022-24445-6
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Received
04/07/2023
Revised
07/08/2023
Accepted
16/08/2023
Published
15/10/2023
Type
Research Article
How to Cite
Nguyễn Ngọc, L., Nguyễn Hữu, Q., & Nguyễn Thanh, T. (1697302800). The potential application of artificial rabbits optimization algorithm in diagnosing damages in suspension footbridge. Transport and Communications Science Journal, 74(8), 923-933. https://doi.org/10.47869/tcsj.74.8.6
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