Application of Lamb wave cross-recurrence analysis in damage quantification of metal plates

PDF(2116 KB)

Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (22) : 226-232.

LIU Xiaofeng,ZHANG Tianyu,SUN Xiaoqiang,BO Lin

Author information +

History +

Abstract

In view of the nonlinear dynamic characteristics of metal plate in its fatigue damage evolution, a quantitative detection method of fatigue crack is proposed on the basis of cross recursive analysis. From the structural dynamics point of view, the nonlinear correlation of damaged signal and undamaged signal in the reconstructed phase space is described by the cross recursive plot, and the cross recursive quantitative analysis (CRQA) features are extracted to characterize the damage information in the Lamb wave signal. Combined with the state relevance, monotonicity, robustness and correlation between features, the optimal CRQA features are selected. The support vector description model is established to fuse the optimal features, and the unified quantitative index of crack damage is constructed. The results of simulation and bending test show that the proposed method can not only effectively evaluate the fatigue damage of metal plate, but also has good noise robustness. This method breaks through the difficulty of analyzing the damage signal waveform caused by multimode, scattering and weakness of damage wave package. It has a good application prospect in detection and evaluation of fatigue damage in complex structures.
Key words: Lamb waves; Fatigue damage quantification; Cross recurrence quantification analysis；Feature selection；Feature fusion

Key words

Lamb waves / Fatigue damage quantification / Cross recurrence quantification analysis；Feature selection；Feature fusion

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

LIU Xiaofeng,ZHANG Tianyu,SUN Xiaoqiang,BO Lin. Application of Lamb wave cross-recurrence analysis in damage quantification of metal plates[J]. Journal of Vibration and Shock, 2022, 41(22): 226-232

References

[1] 尹昱,陈振华,肖峰,等.不锈钢疲劳微损伤的非线性超声检测方法[J].电子测量与仪器学报,2020,34（01):73-78. Yin Yu, Chen Zhenhua, Xiao Feng, et al. Nonlinear ultrasonic testing method for fatigue micro damage of stainless steel [J]. Journal of electronic measurement and instrument, 2020, V.34; No.229 (01): 73-78.
[2] 常俊杰，万陶磊，钟海鹰. 短空间二维傅里叶变换对铝板的损伤定量研究[J], 电子测量与仪器学报,2020, 34(6):102-108.Chang Junjie, Wan taolei, Zhong Haiying. Quantitative study of short-space two-dimensional Fourier transform on aluminum plate damage, Journal of electronic measurement and instrument, 2020, 34 (6): 102-108.
[3] 张耀烨,李冬生,周智.超声导波针对均匀腐蚀的无基准评定方法[J].振动与冲击,2019,38(02):110-115 Zhang Yaoye, Li Dongsheng, Zhou Zhi. Baseline-free method for the evaluation of uniform corrosion based on ultrasonic guided waves [J]. Vibration and shock, 2019,38 (02): 110-115
[4] Zhao Na, Wu Bin, Liu Xiucheng. Quantitative evaluation of through-thickness rectangular notch in metal plates based on Lamb waves, Structural engineering and mechanics, 2019, 71(6):751-761.
[5] 孙凯，孟光，叶林等，基于超声导波的钢梁结构损伤大小识别研究，振动与冲击，2011,9（30）：227-230.
Sun Kai, Meng Guang, Ye Lin, et al. Damage size identification of thick steel beam based on ultrasonic guided wave, vibration and shock, 2011,9 (30): 227-230.
[6] Lu Y，Ye L，Su Z Q，et al． Quantitative assessment of through-thickness crack size based on Lamb wave scattering in aluminium plates［J］．Ndt & E International, 2008, 41(1) :59-68.
[7] Hayashi T，Kawashima K． Single mode extraction from multiple modes of lamb wave and its application to defect detection［J］．Jsme International Journal Series a-Solid Mechanics and Material Engineering，2003，46(4) : 620 -626.
[8] F. Gao, J. Hua, L. Wang, L. Zeng and J. Lin, Local Wavenumber Method for Delamination Characterization in Composites With Sparse Representation of Lamb Waves[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021, 68(4): 1305-1313.
[9] LI Jian. On circumferential disposition of pipe defects by long-range ultrasonic guided waves [J]. Journal of Pressure Vessel Technology, 2005, 127：530-538.
[10] Wang R , Wu Q , Yu F , et al. Nonlinear ultrasonic detection for evaluating fatigue crack in metal plate[J]. Structural Health Monitoring, 2019, 18(3):869-881.
[11] TSE P, WANG X. Characterization of pipe line defect in guided-waves based inspection through matching pursuit with the optimized dictionary[J]. NDT&E International, 2013, 54：171-182.
[12] Zhang H , Cao S A , Ma S A , et al. Multi-sensor network for industrial metal plate structure monitoring via time reversal ultrasonic guided wave[J]. Measurement, 2020,152，107345
[13] DAVIES J, CAWLEY P. The application of synthetically focused imaging techniques for high resolution guided wave pipe inspection[J]. Review of Quantitative Nondestructive Evaluation, 2007, 26：681-688.
[14] 邓菲,吴斌,何存富. 基于时间反转的管道导波缺陷参数辨识方法[J],机械工程学报, 2010,46(8):18-24.
Deng Fei, Wu Bin, He cunfu. Time reversal guided wave defect identification method [J], Journal of mechanical engineering, 2010,46 (8): 18-24.
[15] Liu X, Bo L, Liu Y, et al. Detection of micro-cracks using nonlinear lamb waves based on the Duffing-Holmes system [J]. Journal of Sound and Vibration, 2017, 405:175-186.
[16] Liu X, Wang B, Ai F, et al. Evaluation of Matrix Cracking in Composite Laminates based on Anomaly Indices[J]. International Journal of Fatigue, 2020, 140:105841.
[17] Liu X, Pu K, Bo L, et al. Quantitative estimation of nonlinearity parameter of noised lamb waves using a chaotic oscillator [J]. Journal of Sound and Vibration, 2018, 438:476-489.
[18] 冯思源，基于交叉和排序递归图的癫痫脑电RQA分析[D]，南京邮电大学学位论文，2015.
Feng Siyuan, RQA analysis of epileptic EEG based on crossover and ordered recursive graph [D], dissertation of Nanjing University of Posts and telecommunications, 2015.
[19] 王璞，基于交叉递归分析的机械旋转部件退化跟踪与故障预测研究[D], 2019.
Wang Pu, degradation tracking and fault prediction of mechanical rotating parts based on cross recursive analysis [D], 2019.
[20] 杨帆，陈宁. 基于交叉递归图和局部匹配的翻唱歌曲识别[J], 华南理工大学学报[J], 2016, 42(2):273-253.
Yang Fan, Chen Ning. Cover song recognition based on cross recursive graph and local matching [J], Journal of South China University of technology [J], 2016, 42 (2): 273-253.
[21] Liu X , Wang B , Ai F , et al. Evaluation of Matrix Cracking in Composite Laminates based on Anomaly Indices[J]. International Journal of Fatigue, 2020, 140:105841.
[22] 赵晗.基于非线性超声导波缺陷信号的等级量化分析及研究[D],2020.
Zhao Han. Quantitative analysis and Research on the level of non-linear ultrasonic guided wave defect signal [D], 2020.