HAN Yue; MA Chenning; LIU Jinxia; ZHOU Zixian; YAN Shouguo; CUI Zhiwen

doi:10.7498/aps.74.20250382

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 method or LSSC localization method to locate the damages on plate-like structures, there exists blind area.In this paper, by combining the beamforming method and LSSC localization method, a fan-shaped sensor cluster localization method is proposed through arranging five sensors in a fan shape, which can effectively reduce the blind areas. The positions of damages in 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 localization method can more accurately identify the damages at different positions. Both simulation and experimental results indicate that the fan-shaped sensor cluster localization method can reduce the blind area and improve the accuracy of damage location.

Keywords:

Authors and contacts

Corresponding author: LIU Jinxia, jinxia@jlu.edu.cn ; CUI Zhiwen, cuizw@jlu.edu.cn

Funds: Project supported by the Natural Science Foundation of Chongqing, China (Grant No. CSTB2022NSCQ-MSX1109), the State Key Laboratory of Acoustics and Marine Information, Chinese Academy of Sciences (Grant No. SKLA202512), the Research and Innovation Ability Improvement Program for Postgraduate of Education Department of Jilin Province, China (Grant No. JJKH20250050BS), and the Research and Innovation Ability Improvement Program for Postgraduate of Jilin University, China (Grant No. 2024KC040).

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[1]
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[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
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Cited By

DownLoad: Full-Size Img PowerPoint

材料属性	数值
密度$\rho $/(kg·m^–3)	2700
泊松比$\sigma $	0.33
杨氏模量 E/GPa	70

DownLoad: CSV

传感器标记	坐标/mm	传感器标记	坐标/mm
S₁	(–10.00, –50.00)	S₆	(–10.00, 50.00)
S₂	(0.00, –50.00)	S₇	(0.00, 50.00)
S₃	(10.00, –50.00)	S₈	(10.00, 50.00)
S₄	(7.07, –42.93)	S₉	(–7.07, 57.07)
S₅	(7.07, –57.07)	S₁₀	(–7.07, 42.93)

DownLoad: CSV

编号	实际损伤坐标/mm	T形传感器簇		扇形传感器簇
编号	实际损伤坐标/mm	预测损伤坐标/mm	误差/mm	预测损伤坐标/mm	误差/mm
D1	(46.00, 123.00)	(45.93, 125.16)	2.16	(46.29, 125.73)	2.75
D2	(–90.00, 20.00)	(–75.34, 11.45)	16.97	(–94.02, 24.28)	5.87
D3	(130.00, 60.00)	(133.83, 70.07)	10.77	(133.48, 64.39)	5.61
D4	(30.00, –100.00)	(34.30, –107.32)	8.49	(32.96, –105.08)	5.88
D5	(–60.00, –60.00)	(–54.31, –63.35)	9.27	(–54.58, –56.65)	6.37
D6	(105.00, –10.00)	(93.94, –6.28)	11.67	(105.19, –6.87)	3.14
D7	(–35.00, 115.00)	(–35.72, 118.03)	3.11	(–33.22, 113.27)	2.48
D8	(100.00, –45.00)	(84.55, –33.09)	19.51	(97.29, –44.28)	2.80

DownLoad: CSV

编号	实际损伤坐标/mm	T形传感器簇		扇形传感器簇
编号	实际损伤坐标/mm	预测损伤坐标/mm	误差/mm	预测损伤坐标/mm	误差/mm
D1	(46.00, 123.00)	(42.39, 115.11)	8.68	(43.22, 114.82)	8.64
D2	(–90.00, 20.00)	(–106.88, 22.25)	17.03	(–96.76, 20.04)	6.76
D3	(130.00, 60.00)	(141.36, 66.56)	13.12	(124.69, 56.48)	6.37
D4	(30.00, –100.00)	(29.52, –97.61)	2.44	(31.51, –103.49)	3.80
D5	(–60.00, –60.00)	(–65.45, –60.33)	5.46	(–65.40, –60.12)	5.40
D6	(105.00, –10.00)	(94.63, –12.02)	10.56	(111.13, –14.78)	7.77
D7	(–35.00, 115.00)	(–36.40, 121.49)	6.64	(–40.94, 119.23)	7.29
D8	(100.00, –45.00)	(90.54, –33.69)	14.74	(106.07, –47.88)	6.72

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Vol. 74, Issue 12 - 2025-06-20

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