Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm
Source abstract
Abstract
In order to solve the problem of structural damage location and degree identification, the weighted mean of vectors algorithm (INFO), a high-performance optimization algorithm, was first introduced to identify structural damage. By comparison with the refined genetic algorithm (RGA), the accuracy and advantages of INFO are analyzed and evaluated. An objective function is constructed by combining the dynamic response transfer ratio without modal analysis. The INFO and RGA algorithms are used to optimize the objective function for damage identification. The simulation results verify the effectiveness of the three damage identification methods. The results show that the identification effect of the INFO algorithm can reach nearly 100% without noise influence, and the anti-noise ability is the strongest. Among the three algorithms, the damage identification accuracy of the INFO algorithm is the highest, followed by the RGA algorithm and the GA algorithm.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Control Systems · Structural Health Monitoring Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
References (23)
Show source-provided references
1. Controversies and Unresolved Issues in Tuberculosis Prevention and Control: A Low-Burden-Country Perspective10.1093/infdis/jir886 ↗
2. Damage identification of the benchmark frame based on an improved cuckoo search
3. Damage detection of thin plates using GA-PSO algorithm based on modal data10.1007/s13369-016-2398-6 ↗
4. Two-stage damage identification method based on fractal theory and whale optimization algorithm
5. Structural damage assessment using FRF employing particle swarm optimization
6. A hybrid approach for damage detection of structures under operational conditions10.1016/j.jsv.2013.03.017 ↗
7. Structural damage detection using artificial bee colony algorithm with hybrid search strategy10.1016/j.swevo.2015.10.010 ↗
8. A hybrid self-adaptive Firefly-Nelder-Mead algorithm for structural damage detection10.12989/sss.2016.17.6.957 ↗
9. A new structural damage detection strategy of hybrid PSO with Monte Carlo simulations and experimental verifications10.1016/j.measurement.2018.01.068 ↗
10. A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates10.1007/s00366-018-0620-8 ↗
11. Alkayem, N.F., Cao, M., and Ragulskis, M. (2019). Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm. Appl. Soft Comput., 83.10.1016/j.asoc.2019.105604 ↗
12. Structural damage identification based on modal frequency strain energy assurance criterion and flexibility using enhanced Moth-Flame optimization10.1016/j.istruc.2020.08.085 ↗
13. Minh, H.L., Khatir, S., Wahab, M.A., and Cuong-Le, T. (2021). An Enhancing Particle Swarm Optimization Algorithm (EHVPSO) for damage identification in 3D transmission tower. Eng. Struct., 242.10.1016/j.engstruct.2021.112412 ↗
14. Li, X.L., Serra, R., and Olivier, J. (2022). A multi-component PSO algorithm with leader learning mechanism for structural damage detection. Appl. Soft Comput., 116.10.1016/j.asoc.2021.108315 ↗
15. YiFei, L., Minh, H.L., Khatir, S., Sang-To, T., Cuong-Le, T., MaoSen, C., and Wahab, M.A. (2023). Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm. Eng. Struct., 283.10.1016/j.engstruct.2023.115891 ↗
16. Sang-To, T., Le-Minh, H., Wahab, M.A., and Thanh, C.L. (2023). A new metaheuristic algorithm: Shrimp and Goby association search algorithm and its application for damage identification in large-scale and complex structures. Adv. Eng. Softw., 176.10.1016/j.advengsoft.2022.103363 ↗
17. Shirazi, M.I., Khatir, S., Benaissa, B., Mirjalili, S., and Wahab, M.A. (2023). Damage assessment in laminated composite plates using modal strain energy and YUKI-ANN algorithm. Compos. Struct., 303.10.1016/j.compstruct.2022.116272 ↗
18. Genetic algorithms10.1038/scientificamerican0792-66 ↗
19. Ahmadianfar, I., Heidari, A.A., Noshadian, S., Chen, H., and Gandomi, A.H. (2022). INFO: An efficient optimization algorithm based on weighted mean of vectors. Expert Syst. Appl., 195.10.1016/j.eswa.2022.116516 ↗
20. A comparative study of genetic algorithm and the particle swarm optimization
21. The Modal Assurance Criterion (MAC): Twenty years of use and abuse
22. Submarine finite element model updating method based on frequency response functions of vibration
23. Structural damage identification based on hybrid whale annealing algorithm and sparse regularization