Acoustic Emission Signal Due to Fiber Break and Fiber Matrix Debonding in Model Composite: A Computational Study

Hamam, Zeina; Godin, Nathalie; Fusco, Claudio; Doitrand, Aurélien; Monnier, Thomas

doi:10.3390/app11188406

Cited by 11 publications

(14 citation statements)

References 50 publications

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“…Furthermore, the numerical delta-T mapping method scales better compared with experimental delta-T. With the FE method, large-scale models with numerical sensors can be easily created for collection of training data, whilst experimental collection of delta-T data may be limited by several factors including large size or complex structures. Moreover, instead of artificial AE sources which can only be performed on the surface in experiments, the FE method allows multiple training sources such as fatigue [ 39 ] and fibre breaks [ 40 ] and internal damage to be modelled. This might provide a solution to a 3-D delta-T location problem.…”

Section: Discussionmentioning

confidence: 99%

Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping

Yang

Wang

Grigg

et al. 2022

Sensors

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One of the most significant benefits of Acoustic Emission (AE) testing over other Non-Destructive Evaluation (NDE) techniques lies in its damage location capability over a wide area. The delta-T mapping technique developed by researchers has been shown to enable AE source location to a high level of accuracy in complex structures. However, the time-consuming and laborious data training process of the delta-T mapping technique has prevented this technique from large-scale application on large complex structures. In order to solve this problem, a Finite Element (FE) method was applied to model training data for localization of experimental AE events on a complex plate. Firstly, the FE model was validated through demonstrating consistency between simulated data and the experimental data in the study of Hsu-Nielsen (H-N) sources on a simple plate. Then, the FE model with the same parameters was applied to a planar location problem on a complex plate. It has been demonstrated that FE generated delta-T mapping data can achieve a reasonable degree of source location accuracy with an average error of 3.88 mm whilst decreasing the time and effort required for manually collecting and processing the training data.

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Section: Discussionmentioning

confidence: 99%

Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping

Yang

Wang

Grigg

et al. 2022

Sensors

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“…The sensor and acquisition chain influence are considered similar to the method described in [ 26 ]. The resonant sensors are modelled using their transfer function and their aperture effect.…”

Section: Methodsmentioning

confidence: 99%

“…It can be noted that above 800 kHz, the experimental and numerical damping coefficients slightly differ, which can be explained by the fact that the micro80 sensor is not very sensitive beyond this frequency. The sensor and acquisition chain influence are considered similar to the method described in [26]. The resonant sensors are modelled using their transfer function and their aperture effect.…”

Section: Acoustic Emissionmentioning

confidence: 99%

“…A better understanding of the link between the different damage mechanisms and the resulting AE signals may be established by numerical simulation of the damage-induced AE [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ]. Such simulations require several aspects to be considered, including (i) the damage mechanism acting as an AE source, (ii) the acoustic wave propagation in the specimen accounting for its geometry and material properties and (iii) the sensor and the acquisition chain.…”

Section: Introductionmentioning

confidence: 99%

“…Numerical simulations of damage-induced AE were, for instance, studied by Sause et al [ 19 , 20 , 21 ], considering either idealized damage source modelling [ 19 ] or realistic crack geometries determined from µ-Computed Tomography [ 21 ]. AE simulations due to fiber cracking and fiber-matrix debonding in single-fibre specimens were also set up by Hamam et al [ 25 , 26 ]. In the previously cited works, the influence of the sensor and the acquisition chain was considered either based on the analytical reciprocity method [ 28 , 29 ] or from the multi-physics simulation of the sensor [ 22 , 23 , 24 , 30 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Transverse Cracking Induced Acoustic Emission in Carbon Fiber-Epoxy Matrix Composite Laminates

et al. 2022

Self Cite

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Transverse cracking induced acoustic emission in carbon fiber/epoxy matrix composite laminates is studied both experimentally and numerically. The influence of the type of sensor, specimen thickness and ply stacking sequence is investigated. The frequency content corresponding to the same damage mechanism differs significantly depending on the sensor and the stacking sequence. However, the frequency centroid does not wholly depend on the ply thickness except for the inner ply crack and a sensor located close enough to the crack. Outer ply cracking exhibits signals with a low-frequency content, not depending much on the ply thickness, contrary to inner ply cracking, for which the frequency content is higher and more dependent on the ply thickness. Frequency peaks and frequency centroids obtained experimentally are well captured by numerical simulations of the transverse cracking induced acoustic emission for different ply thicknesses.

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Monitoring of Allowable Bending Stress Overload in Glass‐Fiber‐Reinforced Polymer Composites Using Magnetostrictive Fe–Co Fibers

Katabira,

Kurita,

Mori

et al. 2023

Adv Eng Mater

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For the safe operation of glass‐fiber‐reinforced polymer (GFRP) laminates, evaluating the applied stress and the health of composite structures is crucial. Magnetostrictive materials are functional materials that can be applied to structural health monitoring as sensor materials. Herein, a method for detecting whether the maximum stress of GFRP laminates under bending exceeds the allowable stress using magnetostrictive fibers is proposed. First, magnetostrictive Fe–Co alloy fibers are embedded in GFRP laminates. Then, four‐point bending tests are conducted. Magnetomechanical coupled modeling based on the composite beam theory is then applied to the experimental results. The effects of the position of Fe–Co fibers on the magnetostrictive behavior and mechanical properties of the prepared composites are evaluated. A concept for monitoring the relationship between the maximum bending stress and the allowable stress of the composite materials is proposed.

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Acoustic Emission Signal Due to Fiber Break and Fiber Matrix Debonding in Model Composite: A Computational Study

Cited by 11 publications

References 50 publications

Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping

Acoustic Emission Source Location Using Finite Element Generated Delta-T Mapping

Transverse Cracking Induced Acoustic Emission in Carbon Fiber-Epoxy Matrix Composite Laminates

Monitoring of Allowable Bending Stress Overload in Glass‐Fiber‐Reinforced Polymer Composites Using Magnetostrictive Fe–Co Fibers

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