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arXiv · 2511.16270

A damage detection method of plate structure using fan-shaped sensor clusters

Hand Yue·Ma Chenning·Liu Jinxia·Zhou Zixian·Yan Shouguo·Cui Zhiwen
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Abstract

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.

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Hand Yue, Ma Chenning, Liu Jinxia, Zhou Zixian, Yan Shouguo, Cui Zhiwen. 2025-11-20. A damage detection method of plate structure using fan-shaped sensor clusters. https://doi.org/10.7498/aps.74.20250382

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