Piezoelectric materials and sensors for structural health monitoring: fundamental aspects, current status, and future perspectives

M Ju, Z Dou, JW Li, X Qiu, B Shen, D Zhang, FZ Yao… - Sensors, 2023 - mdpi.com
Structural health monitoring technology can assess the status and integrity of structures in
real time by advanced sensors, evaluate the remaining life of structure, and make the …

Enabling distributed intelligence with ferroelectric multifunctionalities

K Yao, S Chen, SC Lai, YM Yousry - Advanced Science, 2022 - Wiley Online Library
Distributed intelligence involving a large number of smart sensors and edge computing are
highly demanded under the backdrop of increasing cyber‐physical interactive applications …

[HTML][HTML] Investigation on in-situ sprayed, annealed and corona poled PVDF-TrFE coatings for guided wave-based structural health monitoring: From crystallization to …

Y Li, W Feng, L Meng, KM Tse, Z Li, L Huang, Z Su… - Materials & Design, 2021 - Elsevier
Large-area, lightweight and flexible sensing networks are highly demanded in complex
(either in structural topology or material property) structural health monitoring (SHM) …

Shear mode ultrasonic transducers from flexible piezoelectric PLLA fibers for structural health monitoring

YM Yousry, VK Wong, R Ji, Y Chen… - Advanced Functional …, 2023 - Wiley Online Library
Shear mode guided waves are highly demanded for underwater structural health monitoring
(SHM) applications due to their simplified non‐dispersive feature and minimal acoustic …

Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded …

Q Liu, Y Li, R Guan, J Yan, M Liu… - Structural Health …, 2023 - journals.sagepub.com
Driven by the rapid advancement in manufacturing technologies, engineering structures with
complex geometries are increasingly applied in various industries, posing challenges to the …

Automatic quantification of subsurface defects by analyzing laser ultrasonic signals using convolutional neural networks and wavelet transform

S Guo, H Feng, W Feng, G Lv, D Chen… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The conventional machine learning algorithm for analyzing ultrasonic signals to detect
structural defects necessarily identifies and extracts either time-or frequency-domain …

High-performance ultrasonic transducer based on PZT piezoelectric ceramic for high-temperature NDE

K Zou, Q Yue, J Li, W Zhang, R Liang, Z Zhou - Ultrasonics, 2023 - Elsevier
Piezoelectric ultrasonic transducers (PUT) are applied in a wide range of fields such as non-
destructive evaluation (NDE), medical imaging and petroleum exploration, etc …

Evaluation of subsurface defects in metallic structures using laser ultrasonic technique and genetic algorithm-back propagation neural network

K Zhang, G Lv, S Guo, D Chen, Y Liu, W Feng - NDT & E International, 2020 - Elsevier
An effective nondestructive evaluation technique that enables the detection and
quantification of subsurface defects is highly demanded for assuring safety and reliability of …

Subsurface defect detection using phase evolution of line laser-generated Rayleigh waves

D Chen, G Lv, S Guo, R Zuo, Y Liu, K Zhang… - Optics & Laser …, 2020 - Elsevier
An unreported phenomenon of phase evolution of Rayleigh ultrasonic waves with
subsurface defects is observed and systematically explored for detection of subsurface …

Wall thickness measurement and defect detection in ductile iron pipe structures using laser ultrasonic and improved variational mode decomposition

S Chen, H Wang, Y Jiang, K Zheng, S Guo - NDT & E International, 2023 - Elsevier
A reliable non-destructive evaluation technique that accurately assesses the wall thickness
and slag inclusions of ductile iron pipes prior to annealing is crucial to reducing costs in …