Research on Multi-damage Monitoring Method of Plate Structure Based on Guided Wave

doi:10.3901/JME.2025.14.130

Abstract

Abstract: Multi-damage monitoring of guided waves in plate structures is difficult because of low damage localisation accuracy and difficulty in distinguishing neighbouring damages. Finite element simulation is used to reveal the scattering effect of damage location on the guided wave signals. And based on the intrinsic characteristics of guided wave signals, a new damage index - relative amplitude variation coefficient (RAVC) is proposed. Reconstruction algorithm for probabilistic inspection of damage is utilized to obtain damage image. The experimental results show that RAVC can accurately identify the number and location information of single, two and three damages. Compared with the two existing damage indexes, signal difference coefficient and damage factor of power spectral density, RAVC has smaller localization error and has the ability to monitor multiple damages and distinguish neighboring damages, thus improving the accuracy and resolution of multi-damage monitoring in plate structures are improved.

Key words: ultrasound guided wave, damage index, multiple damage, structural health monitoring

CLC Number:

TB553

XU Xiaoqiang, TAN Zhiwen, HU Hongwei, XIANG Haonan. Research on Multi-damage Monitoring Method of Plate Structure Based on Guided Wave[J]. Journal of Mechanical Engineering, 2025, 61(14): 130-141.

References

[1] 房芳，郑辉，汪玉，等. 机械结构健康监测综述[J]. 机械工程学报，2021，57(16):269-292. FANG Fang，ZHENG Hui，WANG Yu，et al. Mechanical structural health monitoring:A review[J]. Journal of Mechanical Engineering，2021，57(16):269-292.
[2] HAY T R，ROYER R L，GAO H，et al. A comparison of embedded sensor Lamb wave ultrasonic tomography approaches for material loss detection[J]. Smart Materials and Structures，2006，15(4):946-951.
[3] ZHAO Xiaoliang，GAO Huidong，ZHANG Guangfan，et al. Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network:I. Defect detection，localization and growth monitoring[J]. Smart Materials and Structures，2007，16(4):1208-1217.
[4] CHEN Zhenhua，XU Guochen，LU Wei，et al. Nonlinear lamb wave imaging method for testing barely visible impact damage of CFRP laminates[J]. Applied Acoustics，2022，192:108699.
[5] SU Chenhui，BIAN Huihui，JIANG Mingshun，et al. Research on composites damage identification based on power spectral density and lamb wave tomography technology in strong noise environment[J]. Composite Structures，2022，289:115466.
[6] HUA Jiadong，ZHANG Han，MIAO Yonghao，et al. Modified minimum variance imaging of Lamb waves for damage localization in aluminum plates and composite laminates[J]. NDT & E International，2022，125:102574.
[7] ZENG Xianping，ZHAO Bowen，LIU Xiao，et al. Lamb wave-based damage assessment for CFRP composite structures using a CHMM-based damage localization algorithm and a damage quantitative expression[J]. Mechanical Systems and Signal Processing，2023，184:109750.
[8] QING Xinlin，LI Wenzhuo，WANG Yishou，et al. Piezoelectric transducer-based structural health monitoring for aircraft applications[J]. Sensors，2019，19(3):545.
[9] LIU Zenghua，SUN Kunming，SONG Guorong，et al. Damage localization in aluminum plate with compact rectangular phased piezoelectric transducer array[J]. Mechanical Systems and Signal Processing，2016，70-71:625-636.
[10] CHEN Liang，XIAO Qiang，LIANG Wei，et al. A time-of-flight revising approach to improve the image quality of Lamb wave tomography for the detection of defects in composite panels[J]. Science and Engineering of Composite Materials，2018，25(3):587-592.
[11] CHEN Honglei，XU Kailiang，LIU Zenghua，et al. Ellipse of uncertainty based algorithm for quantitative evaluation of defect localization using Lamb waves[J]. Ultrasonics，2022，125:106802.
[12] WANG Dong，YE Lin，LU Ye，et al. Probability of the presence of damage estimated from an active sensor network in a composite panel of multiple stiffeners[J]. Composites Science and Technology，2009，69(13):2054-2063.
[13] GAO H，SHI Y，ROSE J L. Guided wave tomography on an aircraft wing with leave in place sensors[J]. AIP Conference Proceedings，2005，760(1):1788-1794.
[14] HUA Jiadong，ZENG Liang，LIN Jing，et al. Ultrasonic guided wave tomography for damage detection in harsh environment[J]. Key Engineering Materials，2013，569-570:1005-1012.
[15] HUA Jiadong，LIN Liang，ZENG Jing. High-resolution damage detection based on local signal difference coefficient model[J]. Structural Health Monitoring，2015，14(1):20-34.
[16] TORKAMANI S，ROY S，BARKEY M E，et al. A novel damage index for damage identification using guided waves with application in laminated composites[J]. Smart Materials and Structures，2014，23(9):095015.
[17] JIN Hashen，WANG Yishou，SUN Hu，et al. Identification and imaging of multi-defects on a complicated composite structure by ultrasonic guided wave[J]. Polymer Testing，2022，106:107466.
[18] 陈洪磊，邓菲，刘增华. 基于Lamb波传播路径分析的复合材料板中缺陷成像[J]. 机械工程学报，2016，52(24):72-79. CHEN Honglei，DENG Fei，LIU Zenghua. Defect imaging in composite plates based on propagation paths analysis of lamb waves[J]. Journal of Mechanical Engineering，2016，52(24):72-79.
[19] QIU Lei，LIU Menglong，QING Xinlin，et al. A quantitative multidamage monitoring method for large-scale complex composite[J]. Structural Health Monitoring，2013，12(3):183-196.
[20] 刘增华，颉小东，吴斌，等. 基于连续小波变换的厚壁管道周向导波扫描成像试验研究[J]. 机械工程学报，2013，49(2):14-19. LIU Zenghua，JIE Xiaodong，WU Bin，et al. Experimental research on circumferential guided wave scanning imaging of thick wall pipes based on continuous wavelet transform[J]. Journal of Mechanical Engineering，2013，49(2):14-19.
[21] LILLY J M. Element analysis:A wavelet-based method for analysing time-localized events in noisy time series[J]. Proceedings of the Royal Society A:Mathematical，Physical and Engineering Sciences，2017，473(2200):20160776.
[22] TABJULA J L，KANAKAMBARAN S，KALYANI S，et al. Outlier analysis for defect detection using sparse sampling in guided wave structural health monitoring[J]. Structural Control and Health Monitoring，2021，28(3):e2690.
[23] 王强，胥静，王梦欣，等. 结构裂纹损伤的Lamb波层析成像监测与评估研究[J]. 机械工程学报，2016，52(6):30-36. WANG Qiang，XU Jing，WANG Mengxin，et al. Lamb wave tomography technique for crack damage detection[J]. Journal of Mechanical Engineering，2016，52(6):30-36.
[24] XU Caibin，YANG Zhibo，QIAO Baijie，et al. A parameter estimation based sparse representation approach for mode separation and dispersion compensation of Lamb waves in isotropic plate[J]. Smart Materials and Structures，2020，29(3):035020.
[25] LIU Zenghua，ZHONG Xuwen，DONG Tuocan，et al. Delamination detection in composite plates by synthesizing time-reversed Lamb waves and a modified damage imaging algorithm based on RAPID:Time reversal; Lamb waves; composite plate; delamination; RAPID[J]. Structural Control and Health Monitoring，2017，24(5):e1919.
[26] KANNUSAMY M，KAPURIA S，SASMAL S. Accurate baseline-free damage localization in plates using refined Lamb wave time-reversal method[J]. Smart Materials and Structures，2020，29(5):055044.
[27] KANNUSAMY M，KAPURIA S，SASMAL S. An efficient Lamb wave-based virtual refined time-reversal method for damage localization in plates using broadband measurements[J]. Ultrasonics，2022，124:106767.