Structural edge damage detection based on wavelet transform and immune genetic algorithm
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| Názov: | Structural edge damage detection based on wavelet transform and immune genetic algorithm |
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| Autori: | Jianwei Zhao, Zhuo Zhou, Deqing Guan, Liang Gong |
| Zdroj: | Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025) |
| Informácie o vydavateľovi: | Nature Portfolio, 2025. |
| Rok vydania: | 2025 |
| Zbierka: | LCC:Medicine LCC:Science |
| Predmety: | Edge effect, Fitting extension, Wavelet transform, Intelligent algorithms, Immune-genetic, Medicine, Science |
| Popis: | Abstract The wavelet transform (WT) has gained significant attention for its ability to identify damage details within strain modes. However, edge damage in structures often remains obscured and unrecognizable when WT is applied, primarily due to edge effects. Intelligent algorithms used to assess structural damage severity often face challenges such as premature convergence and a tendency to settle on local optima. To address these challenges, damage location is analyzed using WT with a fitting extension of the original vibration signal, effectively mitigating edge effects. Additionally, an immune-genetic algorithm, integrating genetic and immune algorithms, is employed to overcome limitations of traditional intelligent algorithms in damage severity identification. The two-stage method’s effectiveness was validated through finite element simulations of fixed beam and frame structures, as well as vibration tests of fixed and cantilever beams, for locating and assessing edge damage. This method showed clear advantages, including precise damage characterization, noise robustness, and high sensitivity to edge damage. |
| Druh dokumentu: | article |
| Popis súboru: | electronic resource |
| Jazyk: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-025-87712-2 |
| Prístupová URL adresa: | https://doaj.org/article/62765b88ac574f71ad7d8ead18b3e502 |
| Prístupové číslo: | edsdoj.62765b88ac574f71ad7d8ead18b3e502 |
| Databáza: | Directory of Open Access Journals |
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Nájsť tento článok vo Web of Science | Abstrakt: | Abstract The wavelet transform (WT) has gained significant attention for its ability to identify damage details within strain modes. However, edge damage in structures often remains obscured and unrecognizable when WT is applied, primarily due to edge effects. Intelligent algorithms used to assess structural damage severity often face challenges such as premature convergence and a tendency to settle on local optima. To address these challenges, damage location is analyzed using WT with a fitting extension of the original vibration signal, effectively mitigating edge effects. Additionally, an immune-genetic algorithm, integrating genetic and immune algorithms, is employed to overcome limitations of traditional intelligent algorithms in damage severity identification. The two-stage method’s effectiveness was validated through finite element simulations of fixed beam and frame structures, as well as vibration tests of fixed and cantilever beams, for locating and assessing edge damage. This method showed clear advantages, including precise damage characterization, noise robustness, and high sensitivity to edge damage. |
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| ISSN: | 20452322 |
| DOI: | 10.1038/s41598-025-87712-2 |