Damage Identification of Suspension Footbridge Structures using New Hunting-based Algorithms

Authors

  • Nguyen Ngoc Long University of Transport and Communications, Vietnam
  • Nguyen Huu Quyet DX Laboratory, University of Transportation and Communications, Vietnam
  • Nguyen Xuan Tung University of Transport and Communications, Vietnam
  • Bui Tien Thanh University of Transport and Communications, Vietnam
  • Tran Ngoc Hoa University of Transport and Communications, Vietnam
Volume: 13 | Issue: 4 | Pages: 11085-11090 | August 2023 | https://doi.org/10.48084/etasr.5983

Abstract

Metaheuristic algorithms have been applied to tackle challenging optimization problems in various domains, such as health, education, manufacturing, and biology. In particular, the field of Structural Health Monitoring (SHM) has received significant interest, particularly in the area of damage identification in structures. Popular optimization algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Cuckoo Search (CS), Teaching Learning Based Optimization (TLBO), Artificial Hummingbird Algorithm (AHA), Moth Flame Optimizer (MFO), among others, have been employed to address this problem. However, notwithstanding the wide recognition of the current algorithms, their constraints are commonly acknowledged. Hence, this article advocates for the adoption of innovative hunting-inspired algorithms, namely the Ant Lion Optimizer (ALO), African Vulture Optimization Algorithm (AVOA), Grey Wolf Optimizer (GWO), Marine Predator Algorithm (MPA), and Whale Optimization Algorithm (WOA), which emulate the behaviors of wildlife species, to discern the areas and magnitudes of deterioration in a suspension footbridge. Moreover, in order to reduce computational time, only natural frequencies are applied as objective functions. The obtained results indicate that all the utilized algorithms can accurately detect the damages in the considered structure.

Keywords:

structural health monitoring, metaheuristic algorithm, hunting-based, damage identification, suspension footbridge

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References

B. Korich, A. Benaissa, B. Rabhi, and D. Bakria, "A Novel MPPT Design for a Partially Shaded PV System Using Spotted Hyena Optimization Algorithm," Engineering, Technology & Applied Science Research, vol. 11, no. 6, pp. 7776–7781, Dec. 2021.

T. H. Nguyen, V. D. Le, X. H. Vu, and D. K. Nguyen, "Reliability-based Design Optimization of Steel-Concrete Composite Beams Using Genetic Algorithm and Monte Carlo Simulation," Engineering, Technology & Applied Science Research, vol. 12, no. 6, pp. 9766–9770, Dec. 2022.

K. H. Hii, V. Narayanamurthy, and F. Samsuri, "ECG Noise Reduction with the Use of the Ant Lion Optimizer Algorithm," Engineering, Technology & Applied Science Research, vol. 9, no. 4, pp. 4525–4529, Aug. 2019.

M. Bui Thi Thanh, C. Nguyen Huy, Q. Ngo Dang, and T. Dinh Huu, "Experimental study on flexural and shear behaviour of sandwich panels using glass textile reinforced concrete and autoclaved aerated concrete," Tạp Chí Khoa Học Giao Thông Vận Tải, vol. 71, pp. 18–26, Jan. 2020.

B. Benaissa, S. Khatir, M. S. Jouini, and M. K. Riahi, "Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method," Energies, vol. 16, no. 5, Jan. 2023, Art. no. 2448.

E. Ghandourah, S. Khatir, E. M. Banoqitah, A. M. Alhawsawi, B. Benaissa, and M. A. Wahab, "Enhanced ANN Predictive Model for Composite Pipes Subjected to Low-Velocity Impact Loads," Buildings, vol. 13, no. 4, Apr. 2023, Art. no. 973.

M. Slimani, T. Khatir, S. Tiachacht, D. Boutchicha, and B. Benaissa, "Experimental sensitivity analysis of sensor placement based on virtual springs and damage quantification in CFRP composite," Journal of Materials and Engineering Structures, vol. 9, no. 2, pp. 207–220, Aug. 2022.

T. D. Hien, "A static analysis of nonuniform column by stochastic finite element method using weighted integration approach," Tạp Chí Khoa Học Giao Thông Vận Tải, vol. 71, pp. 359–367, May 2020.

J. H. Holland, "Genetic Algorithms," Scientific American, vol. 267, no. 1, pp. 66–73, 1992.

H. Y. Hwang and C. Kim, "Damage detection in structures using a few frequency response measurements," Journal of Sound and Vibration, vol. 270, no. 1, pp. 1–14, Feb. 20041.

J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of ICNN’95 - International Conference on Neural Networks, Aug. 1995, vol. 4, pp. 1942–1948.

T. C. N. Nguyen, T. H. Dang, H. Q. Nguyen, and N. H. Tran, "Experimental study of ground vibration caused by construction activities of metro line 1 project in Ho Chi Minh city," Science Journal of Transportation, no. 11, pp. 68–78, 2021.

Z. Chen and L. Yu, "A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function," Structural Engineering and Mechanics, vol. 63, no. 6, pp. 825–835, Jan. 2017.

D. H. Nguyen, H. Tran-Ngoc, T. Bui-Tien, G. De Roeck, and M. A. Wahab, "Damage detection in truss bridges using transmissibility and machine learning algorithm: Application to Nam O bridge," Smart Structures and Systems, vol. 26, no. 1, pp. 35–47, 2020.

H. Tran-Ngoc, 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, Singapore, 2020, pp. 380–385.

L. Ngoc-Nguyen et al., "A Feasibility Review of Novel Avian-Based Optimization Algorithms for Damage Detection in a Truss Bridge," in Proceedings of the 10th International Conference on Fracture Fatigue and Wear, Singapore, 2023, pp. 53–63.

L. Ngoc-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, Singapore, 2023, pp. 405–415.

L. Ngoc-Nguyen, Hoa-Tran, S. Khatir, H.-Q. Nguyen, T. Bui-Tien, and M. A. Wahab, "A Practical Review of Prairie Dog Optimization Algorithm in Solving Damage Identification Problems in Engineering Structures," in Proceedings of the International Conference of Steel and Composite for Engineering Structures, 2023, pp. 296–306.

D. H. Nguyen, T. T. Bui, G. D. Roeck, and M. A. Wahab, "Damage detection in Ca-Non Bridge using transmissibility and artificial neural networks," Structural Engineering and Mechanics, vol. 71, no. 2, pp. 175–183, 2019.

S. Khatir, I. Belaidi, R. Serra, M. A. Wahab, and T. Khatir, "Damage detection and localization in composite beam structures based on vibration analysis," Mechanics, vol. 21, no. 6, pp. 472–479, Dec. 2015.

A. Khatir, R. Capozucca, S. Khatir, and E. Magagnini, "Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network," Frontiers of Structural and Civil Engineering, vol. 16, no. 8, pp. 976–989, Aug. 2022.

A. Khatir et al., "A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam," Composite Structures, vol. 311, May 2023, Art. no. 116803.

A. Ouladbrahim, I. Belaidi, S. Khatir, E. Magagnini, R. Capozucca, and M. Abdel Wahab, "Experimental crack identification of API X70 steel pipeline using improved Artificial Neural Networks based on Whale Optimization Algorithm," Mechanics of Materials, vol. 166, Mar. 2022, Art. no. 104200.

M. Irfan Shirazi, S. Khatir, B. Benaissa, S. Mirjalili, and M. Abdel Wahab, "Damage assessment in laminated composite plates using modal Strain Energy and YUKI-ANN algorithm," Composite Structures, vol. 303, Jan. 2023, Art. no. 116272.

B. Benaissa, N. A. Hocine, S. Khatir, M. K. Riahi, and S. Mirjalili, "YUKI Algorithm and POD-RBF for Elastostatic and dynamic crack identification," Journal of Computational Science, vol. 55, Oct. 2021, Art. no. 101451.

S. Mirjalili, "The Ant Lion Optimizer," Advances in Engineering Software, vol. 83, pp. 80–98, May 2015.

B. Abdollahzadeh, F. S. Gharehchopogh, and S. Mirjalili, "African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems," Computers & Industrial Engineering, vol. 158, Aug. 2021, Art. no. 107408.

A. Faramarzi, M. Heidarinejad, S. Mirjalili, and A. H. Gandomi, "Marine Predators Algorithm: A nature-inspired metaheuristic," Expert Systems with Applications, vol. 152, Aug. 2020, Art. no. 113377.

S. Mirjalili and A. Lewis, "The Whale Optimization Algorithm," Advances in Engineering Software, vol. 95, pp. 51–67, May 2016.

S. François et al., "Stabil: An educational Matlab toolbox for static and dynamic structural analysis," Computer Applications in Engineering Education, vol. 29, no. 5, pp. 1372–1389, 2021.

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How to Cite

[1]
Long, N.N., Quyet, N.H., Tung, N.X., Thanh, B.T. and Hoa, T.N. 2023. Damage Identification of Suspension Footbridge Structures using New Hunting-based Algorithms. Engineering, Technology & Applied Science Research. 13, 4 (Aug. 2023), 11085–11090. DOI:https://doi.org/10.48084/etasr.5983.

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