Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review

B Wang, S Zhong, TL Lee… - Advances in …, 2020 - journals.sagepub.com
Composite materials/structures are advancing in product efficiency, cost-effectiveness and
the development of superior specific properties. There are increasing demands in their …

Damage mechanism identification in composites via machine learning and acoustic emission

C Muir, B Swaminathan, AS Almansour… - npj Computational …, 2021 - nature.com
Damage mechanism identification has scientific and practical ramifications for the structural
health monitoring, design, and application of composite systems. Recent advances in …

Damage characterization of CFRP laminates using acoustic emission and digital image correlation: Clustering, damage identification and classification

LB Andraju, G Raju - Engineering Fracture Mechanics, 2023 - Elsevier
Damage mechanisms in composite laminates are quite complex, and it is necessary to
perceive their effects on the degradation of laminate mechanical properties. This work …

A waveform-based clustering and machine learning method for damage mode identification in CFRP laminates

J Wang, W Zhou, X Ren, M Su, J Liu - Composite Structures, 2023 - Elsevier
To gain an insight into the damage mechanism in carbon fiber reinforced polymer, a real-
time analytical approach for damage mode identification of composite based on machine …

A machine learning framework for damage mechanism identification from acoustic emissions in unidirectional SiC/SiC composites

C Muir, B Swaminathan, K Fields… - npj Computational …, 2021 - nature.com
In this work, we demonstrate that damage mechanism identification from acoustic emission
(AE) signals generated in minicomposites with elastically similar constituents is possible. AE …

Damage mode identification in carbon/epoxy composite via machine learning and acoustic emission

S Qiao, M Huang, Y Liang, S Zhang… - Polymer …, 2023 - Wiley Online Library
Combining acoustic emission (AE) and machine learning algorithms to understand damage
and failure of carbon fiber reinforced polymer (CFRP) under bending loads is a challenging …

Review on acoustic emission source location, damage recognition and lifetime prediction of fiber-reinforced composites

W Zhou, Z Pan, J Wang, S Qiao, L Ma, J Liu… - Journal of Materials …, 2023 - Springer
Acoustic emission technology is an effective nondestructive testing method for fiber-
reinforced composites, which can monitor the damage process in real time. The main …

Flexural damage and failure behavior of 3D printed continuous fiber composites by complementary nondestructive testing technology

Z Pan, W Zhou, K Zhang, L Ma, J Liu - Polymer Composites, 2022 - Wiley Online Library
It is necessary to investigate the flexural damage and evolution behavior of 3D printed
continuous fiber‐reinforced composites. In this paper, acoustic emission technology (AE) is …

Acoustic emission detection of filament wound CFRP composite structure damage based on Mel spectrogram and deep learning

X Ren, J Wang, Y Liang, L Ma, W Zhou - Thin-Walled Structures, 2024 - Elsevier
This paper investigates the hoop tensile mechanical properties, damage mode
classification, and damage evolution process of the filament wound CFRP composite …

Assessment of damage in hydraulic concrete by gray wolf optimization‐support vector machine model and hierarchical clustering analysis of acoustic emission

X Li, X Chen, AP Jivkov, J Hu - Structural Control and Health …, 2022 - Wiley Online Library
Acoustic emission (AE) is a useful method for recording fracture processes in concrete. In
this work, AE data are recorded during three‐point bending tests to fracture of hydraulic …