Damage Detection in Holed Carbon Fiber Composite Laminates Using Embedded Fiber Bragg Grating Sensors Based on Strain Information

Ding, Guoping; Song, Wenhao; Gao, Xiaoling; Cao, Hao

doi:10.1155/2020/8813213

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…Based on an analysis of the relationship between changes in the strain distribution and damage expansion of CFRP laminated plates and the strain information shown in Fig. 5, the damage recognition method of CFRP laminated plates is proposed in this study [14]. The accuracy of the CFRP laminate damage detection method is next verified by performing the CFRP laminate damage identification experiment based on FBG sensor.…”

Section: Fiber Bragg Grating Sensorsmentioning

confidence: 99%

Recent Developments in Damage Detection of CFRP Composites Using Non-Destructive Techniques – A Review

Sharma¹,

Vijayakumar²

2023

JERR

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This paper presents a comprehensive overview of state-of the art nondestructive testing (NDT) methods specifically applied to carbon fiber reinformed polymer (CFRP) composites. The intent of this survey is to provide valuable guidance and insights to researchers and practitioners encompass in the arena of NDT for CFRP composites. Each NDT method is carefully examined, highlighting its principles, advantages, limitations, and potential applications in the evaluation of CFRP composite structures. The methods discussed in this paper include, but are not limited to, ultrasonic testing, eddy current testing, thermography, radiography, and acoustic emission. Furthermore, the information presented here aims to facilitate the selection and utilization of appropriate NDT methods for effective evaluation and quality assurance of CFRP composite structures along with challenges that researcher may encounter in the practical implementation of this techniques. Finally, an attempt is made to present alphabetically the review of literature on earliest to modern NDT methods published by various authors and how it continues to expand and become a viable technique for damage estimation.

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Section: Fiber Bragg Grating Sensorsmentioning

confidence: 99%

Recent Developments in Damage Detection of CFRP Composites Using Non-Destructive Techniques – A Review

Sharma¹,

Vijayakumar²

2023

JERR

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“…Gao et al 10 proposed an enhanced wave-field imaging approach for the impact damage detection of the composite laminate. Ding et al 11 presented fiber Bragg grating (FBG) for the damage detection of the laminated fcomposites by utilizing the strain information. Pérez et al 12 studied the SHM of the CFRP laminated plate using the complex frequency domain assurance criterion (CFDAC).…”

Section: Introductionmentioning

confidence: 99%

Damage assessment of laminated composites using unsupervised autonomous features

Khan,

Kim

2023

Journal of Thermoplastic Composite Materials

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This article proposes a framework for the damage assessment of and effect of temperature variations in laminated composites using Lamb waves and unsupervised autonomous features. A network of piezoelectric transducers is employed to generate data for 18 health states of a laminated composite plate. The data is processed with sparse autoencoder (SAE) for unsupervised autonomous features. The discriminative capabilities of the extracted features are confirmed by processing the feature space in the supervised and unsupervised frameworks of machine learning. The confusion matrices of supervised learning provided physical insights into the problem. The feature space was also visualized in two dimensions in an unsupervised manner through principal component analysis (PCA), which revealed physically consistent results for the effect of temperature variations, damage of different severity levels, and the undamaged paths between the actuator and sensors. The healthy state data and information on the paths between the actuator and sensors was processed via SAE for damage localization. The proposed approach can be employed for the autonomous assessment of composite structures for the presence of damage and variations of operating temperatures while using both supervised and unsupervised machine learning algorithms.

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“…The small diameter of FBG sensors provide the opportunity to embed them carefully at various locations along the reinforcing fibers of a lamina without causing significant deterioration in mechanical properties, and also between different layers of the laminate and get an insight on local strain profile through the thickness of fiber reinforced polymer matrix composites. Ding et al., used numerical analysis to verify the capability of FBG sensors in damage detection in carbon reinforced polymer matrix laminates (Ding et al., 2020). Kuang et al., (2001) investigated strain values obtained from embedded FBG of various layups, their results indicated perfect correlation between strain gauge data and FBG strain in Unidirectional configuration while some incompliance was observed for angle ply specimens.…”

Section: Introductionmentioning

confidence: 99%

Damage growth and failure detection in hybrid fiber composites using experimental in-situ optical strain measurements and smoothing element analysis

Tabrizi

Kefal

Zanjani

et al. 2021

International Journal of Damage Mechanics

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In previous study the failure initiation and development in hybrid fiber laminates was successfully monitored and determined. In current investigation a novel damage monitoring approach is proposed for hybrid laminates by combining different optical strain measurement techniques namely digital image correlation (DIC), fiber Bragg grating sensors (FBG) and infrared thermography (IRT) with smoothing element analysis (SEA). This viable experimental procedure eliminates the effects of global/local nature of optical strain measurement systems on heterogeneous damage accumulation and is a two-step approach. First, all optical sensing systems together with conventional strain gauges are utilized concurrently to indicate the differences in the measured strains and monitor damage accumulation under tensile loading. This demonstrates how failure events disturb the measurement capabilities of optical systems, which can cause a miscalculation of hybrid effect in hybrid-fiber laminates. The second step involves the utilization of SEA algorithm for discretely measured DIC displacements to predict a realistic continuous displacement/strain map and rigorously mitigate the inherent noise of the full field optical system. Remarkably, for large deformation states in hybrid composites, the combination of SEA/DIC enables early prediction of susceptible damage zones at stress levels 30% below material strength.

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Damage Detection in Holed Carbon Fiber Composite Laminates Using Embedded Fiber Bragg Grating Sensors Based on Strain Information

Cited by 6 publications

References 18 publications

Recent Developments in Damage Detection of CFRP Composites Using Non-Destructive Techniques – A Review

Recent Developments in Damage Detection of CFRP Composites Using Non-Destructive Techniques – A Review

Damage assessment of laminated composites using unsupervised autonomous features

Damage growth and failure detection in hybrid fiber composites using experimental in-situ optical strain measurements and smoothing element analysis

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