韩悦; 马晨宁; 刘金霞; 周子贤; 阎守国; 崔志文

doi:10.7498/aps.74.20250382

摘要

利用波束成形或L形传感器簇定位方法对板类结构上的损伤进行定位时存在盲区. 本文结合波束成形与L形传感器簇定位方法, 通过将5个传感器排列成扇形的方式, 提出了一种扇形传感器簇损伤定位方法, 可以有效减少损伤定位盲区. 使用两组扇形传感器簇以及一个用于发射激励信号的传感器即可准确检测出板中损伤的位置. 通过仿真和实验验证了扇形传感器簇损伤定位方法的可行性, 并与采用T形传感器簇时的预测结果进行比较, 结果表明扇形传感器簇损伤定位方法可以更准确地识别不同位置的损伤. 仿真和实验结果表明, 扇形传感器簇损伤定位方法可以减少损伤定位盲区, 提高损伤定位的精度.

关键词:

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:

作者及机构信息

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通信作者: 刘金霞, jinxia@jlu.edu.cn ; 崔志文, cuizw@jlu.edu.cn

基金项目: 重庆市自然科学基金(批准号: CSTB2022NSCQ-MSX1109)、声学与海洋信息全国重点实验室开放课题研究基金(批准号: SKLA202512)、吉林省教育厅博士研究生科研创新能力提升项目(批准号: JJKH20250050BS)和吉林大学博士研究生科研创新能力提升项目(批准号: 2024KC040)资助的课题.

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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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参考文献

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施引文献

下载: 全尺寸图片幻灯片

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

下载: 导出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)

下载: 导出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

下载: 导出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

下载: 导出CSV

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

摘要

Abstract

作者及机构信息

1.

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3.

通信作者: 刘金霞, jinxia@jlu.edu.cn ; 崔志文, cuizw@jlu.edu.cn

Authors and contacts

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2.

3.

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

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

摘要

Abstract

作者及机构信息

1. 2. 3.

通信作者: 刘金霞, jinxia@jlu.edu.cn ; 崔志文, cuizw@jlu.edu.cn

Authors and contacts

1. 2. 3.

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

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