Nonlinear ultrasonic testing and data analytics for damage characterization: A review

H Yun, R Rayhana, S Pant, M Genest, Z Liu - Measurement, 2021 - Elsevier
Nondestructive testing and evaluation (NDT&E) are commonly used in the industry for their
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …

Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook

H Lu, B Chandran, W Wu, J Ninic, K Gryllias… - Measurement, 2024 - Elsevier
Guided Lamb waves are highly valued in structural health monitoring for identifying critical
damage. The essence of Lamb wave-based damage detection is finding and processing …

[HTML][HTML] CNN-LSTM hybrid model to promote signal processing of ultrasonic guided lamb waves for damage detection in metallic pipelines

L Shang, Z Zhang, F Tang, Q Cao, H Pan, Z Lin - Sensors, 2023 - mdpi.com
The ultrasonic guided lamb wave approach is an effective non-destructive testing (NDT)
method used for detecting localized mechanical damage, corrosion, and welding defects in …

[HTML][HTML] Composite panel damage classification based on guided waves and machine learning: an experimental approach

D Perfetto, N Rezazadeh, A Aversano, A De Luca… - Applied Sciences, 2023 - mdpi.com
Ultrasonic guided waves (UGW) are widely used in structural health monitoring (SHM)
systems due to the sensitivity of their propagation mechanisms to local material changes, ie …

Lamb wave based damage detection in metallic plates using multi-headed 1-dimensional convolutional neural network

A Rai, M Mitra - Smart Materials and Structures, 2021 - iopscience.iop.org
Lamb wave based damage diagnosis holds potential for real-time structural health
monitoring; however, analysing the Lamb wave response possess challenge due to its …

From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods

SHM Rizvi, M Abbas - Engineering Research Express, 2023 - iopscience.iop.org
Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …

Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel

N Rezazadeh, D Perfetto, A Polverino… - Structural Health …, 2024 - journals.sagepub.com
The goal of this research study is to classify damages in an aluminum panel using ultrasonic-
guided waves (UGWs). The study is carried out on the premise that only a limited dataset …

A review of laser ultrasonic Lamb wave damage detection methods for thin-walled structures

S Zheng, Y Luo, C Xu, G Xu - Sensors, 2023 - mdpi.com
Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but
only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method …

Convolutional autoencoders and CGANs for unsupervised structural damage localization

R Junges, Z Rastin, L Lomazzi, M Giglio… - Mechanical Systems and …, 2024 - Elsevier
The present work introduces two unsupervised data-driven methodologies for processing
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …

[HTML][HTML] Pixel-level fatigue crack segmentation in large-scale images of steel structures using an encoder–decoder network

C Dong, L Li, J Yan, Z Zhang, H Pan, FN Catbas - Sensors, 2021 - mdpi.com
Fatigue cracks are critical types of damage in steel structures due to repeated loads and
distortion effects. Fatigue crack growth may lead to further structural failure and even induce …