A damage detection method of plate structure using fan-shaped sensor clusters
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.
Cite
@article{arxiv.2511.16270,
title = {A damage detection method of plate structure using fan-shaped sensor clusters},
author = {Hand Yue and Ma Chenning and Liu Jinxia and Zhou Zixian and Yan Shouguo and Cui Zhiwen},
journal= {arXiv preprint arXiv:2511.16270},
year = {2025}
}
Comments
Acta Phys. Sin., 2025, 74(12):124301