Experimental wavelet analysis of acoustic emission signal propagation in CFRP

Barile, Claudia; Casavola, Caterina; Pappalettera, Giovanni; Vimalathithan, Paramsamy Kannan

doi:10.1016/j.engfracmech.2018.05.030

Cited by 55 publications

(22 citation statements)

References 26 publications

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“…The acquisition parameters adopted in the experiment are listed in Table , and the velocities of elastic waves travelling in the concrete were measured using Hsu‐Nielsen sources before each specimen was tested. The AE sensor configuration scheme was carefully designed to minimise the influence of the inhomogeneity of the concrete and propagation paths of elastic waves on the accuracy of locating AE events . As shown in Figure , all sensors (① through ⑧) are placed along the longitudinal axis and mounted on the top and the bottom of a beam, and the majority of the sensors (six out of eight) focuses on the regions vulnerable to the shear failure mode, with close distances between adjacent sensors.…”

Section: Methodsmentioning

confidence: 99%

Relation between the shear stress distribution and the resulting acoustic emission variation in concrete beams

Liu

Zhou

et al. 2020

Struct Control Health Monit

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Acoustic emission (AE) technology is extensively acknowledged as a promising structural health monitoring (SHM) approach; meanwhile, AE monitoring has long been criticised for a lack of quantitative results. This work revealed a strong correlation between the shear stress distribution and the resulting AE distribution, enabling accurate and real-time quantification of the shear stress states in concrete beams using only AE measurements. This paper started by introducing the AE phenomenon and the theoretical distribution of the shear stresses on a beam cross section, which revealed that the distributions of the stresses and the resulting emissions inherently correlate to each other. Twelve reinforced concrete beams were then tested, deploying devices including an AE system. The results showed that the AE source intensity distribution strongly correlated with that of the shear stresses in a beam segment when the beam was in both the working stage and the failure phase and that the matching degree of these two distribution curves varied from 79.20% to 94.12%. The correlation revealed in the paper will boost a wide range of significant AE-based scientific research and engineering applications, including SHM and non-destructive testing. K E Y W O R D Sacoustic emission (AE), AE source distribution intensity, concrete, shear stress, structure health monitoring (SHM)

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Section: Methodsmentioning

confidence: 99%

Relation between the shear stress distribution and the resulting acoustic emission variation in concrete beams

Liu

Zhou

et al. 2020

Struct Control Health Monit

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“…Most of the works have focused on damage onset detection, damage location, damage identification, and studies related to the remaining useful life and residual strength of composite structures [19]. Barile et al used the sentry function to relate the acoustic energy with the strain energy released by the material during delamination propagation in [15] and investigated the effect of the number of plies, fiber orientation, and thickness of carbon fiber reinforced polymer (CFRP) composites on the AE parameters in [21]. Fatih et al [22] evaluated the frequency bandwidth of typical damage modes of the delamination propagation in FRP, such as fiber breakage and matrix cracking.…”

Section: The Use Of Acoustic Emission (Ae) Technique To Quantify Physmentioning

confidence: 99%

Scrutinizing interlaminar fatigue loading cycle in composites using acoustic emission technique: Stress ratio influence on damage formation

Motta

Alderliesten

Shiino

et al. 2020

Composites Part A: Applied Science and Manufacturing

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Current models for delamination propagation prediction in fiber-reinforced polymer (FRP) composites exhibit limitations to explain the physics underlying the mechanisms of damage formation in fatigue. In order to contribute in this field, this research focuses on the study of damage development within a single loading cycle of FRP double cantilever beam specimens under different stress ratios (R). The acoustic emission technique was used to investigate damage propagation. Results showed that under high R-ratios, the load cycle spends an increased time above the threshold energy (U th ). This time difference affects the damage distribution within a single loading cycle. Furthermore, the steady-state delamination propagation was influenced by the R-ratio variation due to the modification of the external work applied to the specimen.

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“…For consistency of the analysis, only the AE signals recorded by the sensor mounted on the steel is used for all the specimens. Some literature [21][22][23] reported the effect of some parameters like material properties and surface roughness on the attenuation of the AE wave. To investigate the wave attenuation in the bi-material joint, a pencil lead breakage test was performed at the middle of DLJ specimen, and it was found that the AE sensor which was placed on the steel core at the distance of 200 mm from the AE source could record the AE signal with 20 dB higher amplitude in comparison to the AE sensor mounted on the CFRP skin at the distance of 100 mm from the AE source.…”

Section: Acoustic Emissionmentioning

confidence: 99%

Damage characterization of adhesively-bonded Bi-material joints using acoustic emission

Saeedifar

Saleh

Freitas

2019

Composites Part B: Engineering

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The aim of the present study is to characterize the damage in bi-material steel-to-composite double-lap adhesively-bonded joints using Acoustic Emission (AE). Two different structural adhesives, a ductile (Methacrylatebased) and brittle (Epoxy-based), were used to bond CFRP skins to a steel core. The fabricated joints were loaded in tension while damage evolution was monitored by AE. Due to the difference in the fracture nature of the adhesives "ductile vs. brittle", different damage mechanisms were observed; including cohesive failure within the adhesive layer, steel deformation, failure at the adhesive/adherends interface (adhesive failure) and delamination in the CFRP skin. To classify these damages by AE, the AE features of each damage mechanism were first obtained by conducting standard tests on the individual constituents. Then, these AE reference patterns were used to train an ensemble decision tree classifier. The best parameters of the ensemble model were obtained by Bayesian optimization, and the confusion matrix showed that the model was sufficiently trained with the accuracy of 99.5% and 99.8% for Methacrylate-based and Epoxy-based specimens respectively. Afterwards, the trained model was used to classify the AE signals of the double-lap specimens. The AE demonstrated that the dominant damage mechanisms in the case of the Methacrylate-based were cohesive and adhesive failures while in the case of the Epoxy-based they were CFRP skin failure and adhesive failure. These results were consistent with the Digital Image Correlation, Fiber Optic Sensor and camera results. This study demonstrates the potential of AE technique for damage characterization of adhesively-bonded bi-material joints.

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Experimental wavelet analysis of acoustic emission signal propagation in CFRP

Cited by 55 publications

References 26 publications

Relation between the shear stress distribution and the resulting acoustic emission variation in concrete beams

Relation between the shear stress distribution and the resulting acoustic emission variation in concrete beams

Scrutinizing interlaminar fatigue loading cycle in composites using acoustic emission technique: Stress ratio influence on damage formation

Damage characterization of adhesively-bonded Bi-material joints using acoustic emission

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