Deep learning for structural health monitoring: Data, algorithms, applications, challenges, and trends

J Jia, Y Li - Sensors, 2023 - mdpi.com
Environmental effects may lead to cracking, stiffness loss, brace damage, and other
damages in bridges, frame structures, buildings, etc. 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 …

Deep knowledge transfer powered ultrasonic guided wave damage monitoring under incomplete database scenarios: Theories, applications and challenges

X Hong, Y Cai, Z Chen, R Huang… - Smart Materials and …, 2024 - iopscience.iop.org
Ultrasonic guided waves can travel long distances within the detected structures, which is of
great significance for monitoring large complex engineering systems. However, the …

An adaptive damage monitoring method based on transfer features mapped for advanced composite structures

Y Wang, X Cui, Q Liu, B Zhao, Y Liao, X Qing - Composite Structures, 2024 - Elsevier
Monitoring damage in advanced composite structures proves challenging due to insufficient
transfer and reuse of diagnostic models. Such limitations fail to meet practical monitoring …

A multi-scale deep residual network-based guided wave imaging evaluation method for fatigue crack quantification

H Jing, S Yuan, J Chen, Y Meng - Measurement Science and …, 2024 - iopscience.iop.org
As a promising structural health monitoring technology, guided wave (GW) imaging is
gaining increasing attention for crack monitoring of aircraft structures. However, actual …

An improved probabilistic diagnosis imaging algorithm for quantifying Hole-edge crack growth

H Sun, J Hou, W Chen, Y Wang, X Qing - Measurement, 2023 - Elsevier
Probabilistic damage imaging (PDI) algorithm based on Lamb wave is one of the most
promising structural health monitoring technologies for quantifying the hole-edge crack …

[HTML][HTML] Enhanced Fatigue Crack Detection in Complex Structure with Large Cutout Using Nonlinear Lamb Wave

S Zhang, Y Liu, S Yuan - Sensors, 2024 - mdpi.com
The large cutout structure is a key component in the bottom skin of an airplane wing, and is
susceptible to developing fatigue cracks under service loads. Early fatigue crack detection is …

Guided Wave Characteristic Research and Probabilistic Crack Evaluation in Complex Multi-Layer Stringer Splice Joint Structure

J Chen, Y Xu, S Yuan, Z Qin - Sensors, 2023 - mdpi.com
Multi-layer and multi-rivet connection structures are critical components in the structural
integrity of a commercial aircraft, in which elements like skin, splice plate, strengthen patch …

FEM Simulation-Based Adversarial Domain Adaptation for Fatigue Crack Detection Using Lamb Wave

L Wang, G Liu, C Zhang, Y Yang, J Qiu - Sensors, 2023 - mdpi.com
Lamb wave-based damage detection technology shows great potential for structural integrity
assessment. However, conventional damage features based damage detection methods …

Decoding nonlinear ultrasonic time-frequency characteristics for fatigue crack quantification and localisation via CNN

D Sun, W Zhu, Y Xiang, FZ Xuan - Nondestructive Testing and …, 2024 - Taylor & Francis
Early detection of fatigue cracks is crucial to guarantee the safe operation of engineering
structures. Nonlinear ultrasonic technique (NUT) is widely used for closed crack …