Damage characterization in composite materials using acoustic emission signal-based and parameter-based data

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

doi:10.1016/j.compositesb.2019.107469

Cited by 82 publications

(63 citation statements)

References 33 publications

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“…Depending on the failure process of materials, the sentry function illustrates five different trends during its loading history [ 48 , 49 ]. Therefore, it is related to different damage phases of materials.…”

Section: Methodsmentioning

confidence: 99%

Fracture Behavior of Permeable Asphalt Mixtures with Steel Slag under Low Temperature Based on Acoustic Emission Technique

Zhu

Liu

et al. 2020

Sensors

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Acoustic emission (AE), as a nondestructive testing (NDT) and real-time monitoring technique, could characterize the damage evolution and fracture behavior of materials. The primary objective of this paper was to investigate the improvement mechanism of steel slag on the low-temperature fracture behavior of permeable asphalt mixtures (PAM). Firstly, steel slag coarse aggregates were used to replace basalt coarse aggregates with equal volume at different levels (0%, 25%, 50%, 75%, and 100%). Then, the low-temperature splitting test with slow loading was used to obtain steady crack growth, and the crack initiation and propagation of specimens were monitored by AE technique in real time. From the low-temperature splitting test results, SS-100 (permeable asphalt mixtures with 100% steel slag) has the optimal low-temperature cracking resistance. Therefore, the difference of fracture behavior between the control group (permeable asphalt mixtures without steel slag) and SS-100 was mainly discussed. From the AE test results, a slight bottom-up trend of sentinel function was founded in the 0.6–0.9 displacement level for SS-100, which is different from the control group. Furthermore, the fracture stages of the control group and SS-100 could be divided based on cumulative RA and cumulative AF curves. The incorporation of 100% steel slag reduced the shear events and restrained the growth of shear cracking of the specimen in the macro-crack stage. Finally, the considerable drops of three kinds of b-values in the final phase were found in the control group, but significant repeated fluctuations in SS-100. In short, the fracture behavior of PAM under low temperature was significantly improved after adding 100% steel slag.

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Section: Methodsmentioning

confidence: 99%

Fracture Behavior of Permeable Asphalt Mixtures with Steel Slag under Low Temperature Based on Acoustic Emission Technique

Zhu

Liu

et al. 2020

Sensors

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“…However, most state-of-the-art methods use the wavelet packet-based energy index [ 33 , 34 , 35 ] for various applications like monitoring timber connection [ 36 ], railway axles [ 37 ] or wood utility poles [ 38 ] and for fibre-reinforced laminated composites [ 39 , 40 ]. In addition, Song et al describes a damage index representing the proportion of transmission energy losses caused by damages based on continuous wavelet transform (CWT), which has been successfully applied to bridge bent-caps as an indicator of the health state [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

Monitoring the Structural Health of Glass Fibre-Reinforced Hybrid Laminates Using Novel Piezoceramic Film

Schmidt

Graf

Decker

et al. 2020

Sensors

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This work investigates a new generation structural health monitoring (SHM) system for fibre metal laminates (FML) based on an embedded thermoplastic film with compounded piezoceramics, termed piezo-active fibre metal laminate (PFML). The PFML is manufactured using near-series processes and its potential as a passive SHM system is being investigated. A commercial Polyvinylidene fluoride (PVDF) sensor film is used for comparative evaluation of the sensor signals. Furthermore, thermoset and thermoplastic-based FML are equipped with the sensor films and evaluated. For this purpose, static and dynamic three-point bending tests are carried out and the data are recorded. The data obtained from the sensors and the testing machine are compared with the type and time of damage by means of intelligent signal processing. By using a smart sensor system, further investigations are planned which the differentiation between various failure modes, e.g., delamination or fibre breakage.

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“…The AE technique records these elastic waves in terms of both signal-based waveforms and parameter-based data such as peak amplitude, counts, energy, duration and so on (which can be collectively called AE descriptors). Since the AE records the elastic waves, this technique is very sensitive, even to transient signals [16][17][18]. This makes AE one of the most efficient and reliable techniques for characterizing damage progression.…”

Section: Introductionmentioning

confidence: 99%

“…Others are not inclined towards this idea and encompass the necessity of using different signal-based descriptors such as frequency centroid and weighted peak frequency [23,24]. In terms of common ground, numerous researchers alike have agreed upon the reliability of using cumulative counts and cumulative acoustic energy [14,17,21]. The radical change in the cumulative counts/energy with respect to time or displacement can identify the critical damage points and help predict larger damage to the structure.…”

Section: Introductionmentioning

confidence: 99%

“…The question that persists is whether the AE technique can identify the different damage modes in a complicated material such as composite materials. In our previous works, the signal-based AE parameter-the wavelets and parameter based function named as the 'Sentry Function'-have been used for characterizing the damage modes [16,17]. Moreover, numerical and finite element models were also designed for mode I delamination tests [6].…”

Section: Introductionmentioning

confidence: 99%

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Bonding Characteristics of Single- and Joggled-Lap CFRP Specimens: Mechanical and Acoustic Investigations

et al. 2020

Self Cite

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Two different configurations of adhesive-bonded carbon fiber-reinforced plastic (CFRP) specimens, joggled lap-joint specimens and single lap-joint specimens, are mechanically tested. The mechanical tests show that the joggled lap specimens have lower strength than the single lap specimens. The damage modes in both the specimens are analysed by the Acoustic Emission descriptors recorded during the mechanical tests. The acoustic data as cumulative counts and cumulative energy show the critical points of failure in both the specimen groups under loading. Moreover, they also show that the damage modes in both the specimens are dissimilar. Finally, the data provided by acoustic emission descriptors are verified by fractographic analysis on the failed surface.

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Damage characterization in composite materials using acoustic emission signal-based and parameter-based data

Cited by 82 publications

References 33 publications

Fracture Behavior of Permeable Asphalt Mixtures with Steel Slag under Low Temperature Based on Acoustic Emission Technique

Fracture Behavior of Permeable Asphalt Mixtures with Steel Slag under Low Temperature Based on Acoustic Emission Technique

Monitoring the Structural Health of Glass Fibre-Reinforced Hybrid Laminates Using Novel Piezoceramic Film

Bonding Characteristics of Single- and Joggled-Lap CFRP Specimens: Mechanical and Acoustic Investigations

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