Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm
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 an...
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MDPI AG
2024-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/22/10454 |
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| author | Yuantian Qin Zhehang Yin Jiahao Ma |
| author_facet | Yuantian Qin Zhehang Yin Jiahao Ma |
| author_sort | Yuantian Qin |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-65d2e2630cc54147a7b0cb8a216ae10d |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-65d2e2630cc54147a7b0cb8a216ae10d2025-08-20T01:53:40ZengMDPI AGApplied Sciences2076-34172024-11-0114221045410.3390/app142210454Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic AlgorithmYuantian Qin0Zhehang Yin1Jiahao Ma2College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaIn 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.https://www.mdpi.com/2076-3417/14/22/10454damage identificationRGAINFO algorithmdynamic response transfer ratio |
| spellingShingle | Yuantian Qin Zhehang Yin Jiahao Ma Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm Applied Sciences damage identification RGA INFO algorithm dynamic response transfer ratio |
| title | Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm |
| title_full | Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm |
| title_fullStr | Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm |
| title_full_unstemmed | Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm |
| title_short | Research and Evaluation of a New Structural Damage Identification Method Based on a Refined Genetic Algorithm |
| title_sort | research and evaluation of a new structural damage identification method based on a refined genetic algorithm |
| topic | damage identification RGA INFO algorithm dynamic response transfer ratio |
| url | https://www.mdpi.com/2076-3417/14/22/10454 |
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