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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.16270 |
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| _version_ | 1866917095893106688 |
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| author | Yue, Hand Chenning, Ma Jinxia, Liu Zixian, Zhou Shouguo, Yan Zhiwen, Cui |
| author_facet | Yue, Hand Chenning, Ma Jinxia, Liu Zixian, Zhou Shouguo, Yan Zhiwen, Cui |
| contents | Plate structures are widely used in large-scale engineering fields such as aerospace, hull manufacturing, and construction. However, the plate structure is easily damaged during long-term service or when it is impacted by foreign objects. Such a damage may lead to serious safety accidents. Beamforming and L-shaped sensor cluster (LSSC) localization method can be used to locate the damage on the plate. However, when using beamforming or LSSC localization method to locate the damages on plate-like structures, there exists blind area. In this paper, by combining the beamforming and LSSC localization method, a fan-shaped sensor cluster is proposed through arranging five sensors in a fan shape, which can effectively reduce the blind areas. The positions of damages on the plate can be accurately detected by using two groups of fan-shaped sensor clusters and one sensor for transmitting the excitation signal. The feasibility of the fan-shaped sensor cluster localization method is verified through numerical simulations and experiments, and the results are compared with those obtained by using the T-shaped sensor cluster. The results show that the fan-shaped sensor cluster can more accurately identify the damages at different positions. Both simulation and experimental results indicate that the fan-shaped sensor cluster can improve the accuracy of damage location. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_16270 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A damage detection method of plate structure using fan-shaped sensor clusters Yue, Hand Chenning, Ma Jinxia, Liu Zixian, Zhou Shouguo, Yan Zhiwen, Cui Applied Physics Plate structures are widely used in large-scale engineering fields such as aerospace, hull manufacturing, and construction. However, the plate structure is easily damaged during long-term service or when it is impacted by foreign objects. Such a damage may lead to serious safety accidents. Beamforming and L-shaped sensor cluster (LSSC) localization method can be used to locate the damage on the plate. However, when using beamforming or LSSC localization method to locate the damages on plate-like structures, there exists blind area. In this paper, by combining the beamforming and LSSC localization method, a fan-shaped sensor cluster is proposed through arranging five sensors in a fan shape, which can effectively reduce the blind areas. The positions of damages on the plate can be accurately detected by using two groups of fan-shaped sensor clusters and one sensor for transmitting the excitation signal. The feasibility of the fan-shaped sensor cluster localization method is verified through numerical simulations and experiments, and the results are compared with those obtained by using the T-shaped sensor cluster. The results show that the fan-shaped sensor cluster can more accurately identify the damages at different positions. Both simulation and experimental results indicate that the fan-shaped sensor cluster can improve the accuracy of damage location. |
| title | A damage detection method of plate structure using fan-shaped sensor clusters |
| topic | Applied Physics |
| url | https://arxiv.org/abs/2511.16270 |