基于波速区间的导波延迟累加损伤成像

刘国强, 王莉, 王霞光, 黎玮, 刘钢

振动与冲击 ›› 2024, Vol. 43 ›› Issue (17) : 232-236.

PDF(1306 KB)
PDF(1306 KB)
振动与冲击 ›› 2024, Vol. 43 ›› Issue (17) : 232-236.
论文

基于波速区间的导波延迟累加损伤成像

  • 刘国强,王莉,王霞光,黎玮,刘钢
作者信息 +

Guided wave delay-and-sum iamging  damage imaging based on wave velocity interval

  • LIU Guoqiang, WANG Li, WANG Xiaguang, LI Wei, LIU Gang
Author information +
文章历史 +

摘要

延迟累加成像方法是导波损伤监测技术中的一种经典的损伤成像方法,但是其性能非常依赖于精确的导波波速。而在复杂工程结构中的精确导波波速往往难以获得,从而该方法的有效性会受到复杂工程结构的影响。针对上述问题,本文提出了基于波速区间的延迟累加成像方法。所提方法利用导波波速的估计区间,将导波损伤散射信号的一段用于延迟,并将该段延迟信号的最大值进行累加作为损伤成像值。通过对复合材料加筋板上不同位置损伤的识别,对所提方法的有效性进行了验证。实验结果表明,所提方法能对损伤进行准确识别,且在鲁棒性方面要优于延迟累加成像方法。

Abstract

The delay-and-sum imaging algorithm is a classic damage imaging method for the guided wave-based damage monitoring. Its performance is very dependent on the accurate guide wave velocity. However, the accurate guide wave velocity in complex engineering structure is often difficult to obtain. Thus for the complex engineering structure, the effectiveness of the algorithm could be affected. In order to solve the abovementioned problem, a delay-and-sum iamging algorithm based the range of wave velocity is proposed. In the proposed algorithm, the part of damage scattered signal of guided wave is delayed by the range of wave velocity. Then the maximum value of the delayed signal is summed as the damage imaging value.The validity of the proposed algorithm is assessed by identifying damages at different locations on a stiffened composite panel. The results show that the proposed algorithm can identify damage accurately and its robustness is better than the delay-and-sum imaging algorithm.

关键词

导波 / 损伤成像 / 复合材料 / 结构健康监测 / 延迟累加

Key words

guided waves / damage imaging / composite / structural health monitoring / delay-and-sum

引用本文

导出引用
刘国强, 王莉, 王霞光, 黎玮, 刘钢. 基于波速区间的导波延迟累加损伤成像[J]. 振动与冲击, 2024, 43(17): 232-236
LIU Guoqiang, WANG Li, WANG Xiaguang, LI Wei, LIU Gang. Guided wave delay-and-sum iamging  damage imaging based on wave velocity interval[J]. Journal of Vibration and Shock, 2024, 43(17): 232-236

参考文献

[1] 袁慎芳. 结构健康监控[M].北京:国防工业出版社,2007.
    YUAN Sheng-fang. Structure health monitoring and damage control[M]. Beijing: National Defense Industry Press, 2007.
[2] 顾钧元,徐廷学,余仁波,等.结构健康监测及其关键技术
   研究[J]. 兵工自动化,2011,30(8):61-64.
   GU Jun-yuan, XU Ting-xue, YU Ren-bo, et al. Study on structural health monitoring and its key technologies[J]. Ordnance Industry Automation, 2011, 30(8):61-64.
[3] 丁北斗,崔杰,陈洁,等.结构健康监测系统及其在工程上的应用[J]. 徐州工程学院学报(自然科学版),2017,32(2):
72-76.
   DING Bei-dou, CUI Jie, CHEN Jie, et al. Structural health monitoring system and its application in engineering[J]. Journal of Xuzhou Institute of Technology (Natural Sciences Edition), 2017, 32(2):72-76. 
[4] YAN J J, JIN H S, SUN H, et al. Active monitoring of fatigue crack in the weld zone of bogie frames using ultrasonic guided 
   waves[J]. sensors, 2019,19,3372.
[5] YUE N, ALIABADI M H.Hierarchical approach for uncertainty quantification and reliability assessment of guided wave-based
   structural health monitoring[J]. Structural Health Monitoring,  2021, 20(5): 2274-2299.
[6] 陈鑫,朱劲松,林阳子,等. 基于导波多点散射的在役拱桥吊杆腐蚀损伤识别[J]. 振动与冲击,2021,40(19):295-301.
   CHEN Xin, ZHU Jin-song, LIN Yang-zi, et al. Corrosion dama-ge identification of suspenders of arch bridges in service based 
   on guided wave multi-point scattering[J]. Journal of Vibration and Shock, 2021, 40(19) : 295-301.
[7] WANG L, ZHANG C, TAO C C, et al. Prediction of multiple  fatigue crack growth based on modified Paris model with parti-
   cle filtering framework[J]. Mechanical Systems and Signal Processing, 2023, 190, 110124.
[8] IHN J B, CHANG F K. Pitch-catch active sensing methods in structural health monitoring for aircraft structures[J]. Structural 
  Health Monitoring, 2008, 7(1): 5-15.
[9] 邱雷,袁慎芳,张逍越,等.基于Shannon复数小波的复合材料结构时间反转聚焦多损伤成像方法[J]. 复合材料学报,
   2010, 27(2):101-107.
   QIU L, YUAN S F, ZHANG X Y, et al. Shannon complex wavelet and time reversal focusing based multi-damage  imaging method on composite structures[J]. Acta Materiae Compositae Sinica, 2010, 27(2): 101-107.
[10] XU C B, YANG Z B, ZHAI Z, et al. A weighted sparse  reconstruction-based ultrasonic guided wave anomaly imaging 
   method for composite laminates[J]. Composite Structures,2019,209: 233-241.
[11] Liu G Q, Wang B W, Wang L, et al. Probability-based diagnos- tic imaging with corrected weight distribution for damage
    detection of stiffened composite panel[J]. Structural Health Monitoring , 2022, 21(4): 1432-1446.
[12] Qiu L, Liu M L, Qing X L, Yuan S F. A quantitative multidam-age monitoring method for large-scale complex composite[J]. 
   Structural Health Monitoring, 2013, 12(3):183-196.
[13] SHARIF-KHODAEI Z, ALIABADI M H. Assessment of delay-and-sum algorithms for damage detection in aluminium 
    and composite plates[J]. Smart Materials and Structures, 2014, 23, 075007.
[14] XU C B, YANG Z B, TIAN S H, et al. Lamb wave inspection for composite laminates using a combined method of sparse 
   reconstruction and delay-and-sum[J]. Composite Structures,2019,223,110973.
[15] 王莉,肖迎春,刘国强.复合材料层合板损伤的延迟累加成像算法[J].科学技术与工程,2019,19(14):365-370.
    WANG Li,XIAO Ying-chun, LIU Guo-qiang. Delay and sum damage imaging algorithm of laminates composite panel[J]. 
    Science Technology and Engineering, 2019, 19(14):365-370.
[16] REN Y Q, QIU L, YUAN S F, et al. Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft 
    composite structures under time-varying conditions[J]. Mechanical Systems and Signal Processing, 2020,135,106390.


PDF(1306 KB)

169

Accesses

0

Citation

Detail

段落导航
相关文章

/