TY - JOUR
T1 - Insight into excitation and acquisition mechanism and mode control of Lamb waves with piezopolymer coating-based array transducers: Analytical and experimental analysis
AU - Li, Yehai
AU - Wang, Kai
AU - Feng, Wei
AU - Wu, Hefeng
AU - Su, Zhongqing
AU - Guo, Shifeng
N1 - Funding Information:
This project is supported in part by the National Natural Science Foundation of China (Grant Nos. 52005493, U2133213, and 52071332), in part by the Department of Science and Technology of Guangdong Province (Grant Nos. 2019QN01H430 and 2019TQ05Z654), in part by the Science and Technology Innovation Commission of Shenzhen (Grant No. ZDSYS20190902093209795), and in part by the Ningbo Science and Technology Bureau (Grant No. 2021Z027).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/1
Y1 - 2022/10/1
N2 - In-situ fabricated piezopolymer coating-based transducers have been developed to build large-area, lightweight and flexible networks for wave-based structural health monitoring (SHM). Meanwhile, their tunability can be realized by array electrodes for mode control with proper tuning methods. However, conventional standard tuning by phase matching seems not always effective. In this study, the excitation and acquisition mechanism of Piezopolymer Coating-based Array Transducers (PCATs) were first studied for Lamb waves. Distinctly different coupling mechanisms of PCAT actuators and sensors were discussed by analytical models and experimental verification, respectively. Then comprehensive parameter studies were performed to understand the filtering effect with finite temporal pulse duration of PCAT actuators, and finite spatial electrode span of PCAT actuators and sensors. Corresponding bias tuning methods were proposed with analytical solutions to improve mode control in Lamb-wave excitation and acquisition. This new guideline of designing array electrodes for PCAT actuators and sensors has been proven effective by successfully tuning the poor mode-controlled wavefield originated by the standard tuning method. Such tunability has great potential to be applied for detecting various damages in Lamb wave-based SHM, where sensitivity, accuracy, and signal interpretation can be improved with good control of particular frequency-mode selections.
AB - In-situ fabricated piezopolymer coating-based transducers have been developed to build large-area, lightweight and flexible networks for wave-based structural health monitoring (SHM). Meanwhile, their tunability can be realized by array electrodes for mode control with proper tuning methods. However, conventional standard tuning by phase matching seems not always effective. In this study, the excitation and acquisition mechanism of Piezopolymer Coating-based Array Transducers (PCATs) were first studied for Lamb waves. Distinctly different coupling mechanisms of PCAT actuators and sensors were discussed by analytical models and experimental verification, respectively. Then comprehensive parameter studies were performed to understand the filtering effect with finite temporal pulse duration of PCAT actuators, and finite spatial electrode span of PCAT actuators and sensors. Corresponding bias tuning methods were proposed with analytical solutions to improve mode control in Lamb-wave excitation and acquisition. This new guideline of designing array electrodes for PCAT actuators and sensors has been proven effective by successfully tuning the poor mode-controlled wavefield originated by the standard tuning method. Such tunability has great potential to be applied for detecting various damages in Lamb wave-based SHM, where sensitivity, accuracy, and signal interpretation can be improved with good control of particular frequency-mode selections.
KW - Excitation and acquisition mechanism
KW - Lamb wave
KW - Mode control
KW - Piezopolymer coatings
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85131127250&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2022.109330
DO - 10.1016/j.ymssp.2022.109330
M3 - Journal article
AN - SCOPUS:85131127250
SN - 0888-3270
VL - 178
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
M1 - 109330
ER -