A review of non-destructive techniques used for mechanical damage assessment in polymer composites

Duchene, Pierre; Chaki, S.; Ayadi, A.; Krawczak, Patricia

doi:10.1007/s10853-018-2045-6

Cited by 158 publications

(67 citation statements)

References 172 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In-service damage evolution within a composite material/structure depends on composite constituents and loading conditions. Their failure processes are an accumulation of basic X-ray/neutron radiography/tomography and micro-tomography [4]; (v) electromagnetic field based techniques, such as eddy-current testing, remote field testing, magnetic-particle inspection and magnetic flux leakage testing [42].…”

Section: Figurementioning

confidence: 99%

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

Wang

Zhong

Lee

et al. 2020

Advances in Mechanical Engineering

348

View full text Add to dashboard Cite

Composite materials/structures are advancing in product efficiency, cost-effectiveness and the development of superior specific properties. There are increasing demands in their applications to load-carrying structures in aerospace, wind turbines, transportation, and medical equipment, etc. Thus robust and reliable non-destructive testing (NDT) of composites is essential to reduce safety concerns and maintenance costs. There have been various NDT methods built upon different principles for quality assurance during the whole lifecycle of a composite product. This paper reviews the most established NDT techniques for detection and evaluation of defects/damage evolution in composites. These include acoustic emission, ultrasonic testing, infrared thermography, terahertz testing, shearography, digital image correlation, as well as X-ray and neutron imaging. For each NDT technique, we cover a brief historical background, principles, standard practices, equipment and facilities used for composite research. We also compare and discuss their benefits and limitations, and further summarise their capabilities and applications to composite structures. Each NDT technique has its own potential and rarely achieves a full-scale diagnosis of structural integrity. Future development of NDT techniques for composites will be directed towards intelligent and automated inspection systems with high accuracy and efficient data processing capabilities.

show abstract

Section: Figurementioning

confidence: 99%

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

Wang

Zhong

Lee

et al. 2020

Advances in Mechanical Engineering

348

View full text Add to dashboard Cite

show abstract

“…The anisotropic material properties and complex microstructure make the damage assessment of composite materials more challenging than metallic materials. Consequently, the damage assessment of laminated composite is an active research area where continuous efforts are made to find cost-effective techniques for the detection, quantification, and localization of delamination in these materials [13][14][15][16]. Various non-destructive testing (NDT) procedures are being used for the assessment of delamination such as acoustic emission, thermography, ultrasonic, and X-ray [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Framework for Vibration-Based Assessment of Delamination in Smart Composite Laminates

Khan

Shin

Lim

et al. 2020

Sensors

View full text Add to dashboard Cite

Delamination is one of the detrimental defects in laminated composite materials that often arose due to manufacturing defects or in-service loadings (e.g., low/high velocity impacts). Most of the contemporary research efforts are dedicated to high-frequency guided wave and mode shape-based methods for the assessment (i.e., detection, quantification, localization) of delamination. This paper presents a deep learning framework for structural vibration-based assessment of delamination in smart composite laminates. A number of small-sized (4.5% of total area) inner and edge delaminations are simulated using an electromechanically coupled model of the piezo-bonded laminated composite. Healthy and delaminated structures are stimulated with random loads and the corresponding transient responses are transformed into spectrograms using optimal values of window size, overlapping rate, window type, and fast Fourier transform (FFT) resolution. A convolutional neural network (CNN) is designed to automatically extract discriminative features from the vibration-based spectrograms and use those to distinguish the intact and delaminated cases of the smart composite laminate. The proposed architecture of the convolutional neural network showed a training accuracy of 99.9%, validation accuracy of 97.1%, and test accuracy of 94.5% on an unseen data set. The testing confusion chart of the pre-trained convolutional neural network revealed interesting results regarding the severity and detectability for the in-plane and through the thickness scenarios of delamination.

show abstract

“…The number of published research reports on NDT rapidly increased in the beginning of the 20th century because of industrialization and the two World Wars. There have been wide applications for NDT technologies in numerous fields such as industrial manufacturing [1,2], aerospace and aeronautics [3], civil engineering [4,5], and material science and technology [6,7]. Practical NDT techniques used for materials characterization can reduce maintenance costs and enforce lifetime management [8].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Strength Evaluation of Elastic Materials by Multiphysical Nondestructive Methods: A Review

et al. 2020

View full text Add to dashboard Cite

The main purpose of industrial nondestructive testing (NDT) is to diagnose the stability, reliability and failure probability of materials, components and structures. Industrial component mechanical strength is one of the most important properties NDT is used to characterize. Subtle but perceptible changes in stress-strain behavior can be reliable indicators of defect formation. A detailed review on the state-of-the-art NDT methods using optical-radiation, photoacoustic, and photothermal techniques for mechanical strength evaluation and defect pre-diagnosis is presented in this article. Mechanical strength is analyzed in terms of the deformation/strain field, the stress-strain relation, and the residual stress in an elastic material subjected to tensile or compressive loading, or impact. By introducing typical NDT experiments, the history and features of each methodology are revisited and typical applications are discussed. This review also aims to be used as a reference toward further research and development of NDT technologies characterizing mechanical strength of materials and components.

show abstract

A review of non-destructive techniques used for mechanical damage assessment in polymer composites

Cited by 158 publications

References 172 publications

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

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

A Deep Learning Framework for Vibration-Based Assessment of Delamination in Smart Composite Laminates

Mechanical Strength Evaluation of Elastic Materials by Multiphysical Nondestructive Methods: A Review

Contact Info

Product

Resources

About