TY - JOUR
T1 - A Cross-Scanning Crack Damage Quantitative Monitoring and Imaging Method
AU - Wang, Zi
AU - Zhang, Shaodong
AU - Li, Yehai
AU - Wang, Qiang
AU - Su, Zhongqing
AU - Yue, Dong
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 52105152, in part by the China Postdoctoral Science Foundation under Grant 2020M681680, in part by the Major Scientific and Technological Innovation Projects in Shandong Province under Grant 2019JZZY010418, and in part by the Natural Science Foundation of Jiangsu Province under Grant BK20190739.
Publisher Copyright:
© 1963-2012 IEEE.
PY - 2022/7
Y1 - 2022/7
N2 - Quantitative crack monitoring and detection is one of the focuses of attention to structural health monitoring due to its concealment and harmfulness. However, in the existing guided wave-and PZT-sensor-array-based structural health-monitoring approaches, the crack orientation information is often ignored, which is a key issue in crack monitoring, making it hard to effectively evaluate the crack damage. In this study, the circular piezoelectric array and active Lamb wave RAPID imaging technology are introduced and improved to study the quantitative monitoring of crack damage. A cross-scanning method is proposed to determine the crack orientation based on response signal variations of different degrees on monitoring paths with different angles. Accordingly, the signal difference coefficient (SDC) value of the detected monitoring paths of parallel or approximately parallel crack damage is corrected to strengthen the reconstruction information of crack orientation. After that, image reconstruction and quantitative evaluation of crack damage can be realized based on the enhanced SDC information. Several experiments are carried out on the aluminum plate to validate the proposed method. The cracks at different positions and orientations are monitored and evaluated through the proposed method. The experimental results show that crack orientation can be well identified through the proposed cross-scanning crack monitoring and imaging method.
AB - Quantitative crack monitoring and detection is one of the focuses of attention to structural health monitoring due to its concealment and harmfulness. However, in the existing guided wave-and PZT-sensor-array-based structural health-monitoring approaches, the crack orientation information is often ignored, which is a key issue in crack monitoring, making it hard to effectively evaluate the crack damage. In this study, the circular piezoelectric array and active Lamb wave RAPID imaging technology are introduced and improved to study the quantitative monitoring of crack damage. A cross-scanning method is proposed to determine the crack orientation based on response signal variations of different degrees on monitoring paths with different angles. Accordingly, the signal difference coefficient (SDC) value of the detected monitoring paths of parallel or approximately parallel crack damage is corrected to strengthen the reconstruction information of crack orientation. After that, image reconstruction and quantitative evaluation of crack damage can be realized based on the enhanced SDC information. Several experiments are carried out on the aluminum plate to validate the proposed method. The cracks at different positions and orientations are monitored and evaluated through the proposed method. The experimental results show that crack orientation can be well identified through the proposed cross-scanning crack monitoring and imaging method.
KW - Circular array
KW - Crack damage
KW - Cross-scanning method
KW - Lamb wave
KW - PZT
KW - Quantitative monitoring
UR - http://www.scopus.com/inward/record.url?scp=85134215422&partnerID=8YFLogxK
U2 - 10.1109/TIM.2022.3188031
DO - 10.1109/TIM.2022.3188031
M3 - Journal article
AN - SCOPUS:85134215422
SN - 0018-9456
VL - 71
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 9600610
ER -