Acoustic Emission

Drouillard, Thomas F.

doi:10.1007/978-1-4615-8362-2

Cited by 34 publications

(14 citation statements)

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“…AE is a naturally occurring phenomenon, which has been observed as rock noise in earthquakes and rockburst in mines since the early days (Drouillard 1996). With the invention of AE devices in the 1960s, research on the fundamentals of AE has led to the characterisation of AE behaviour and the development of instrumentation, and the correlation of AE activity with the failure mechanism.…”

Section: Acoustic Emission (Ae) Techniquementioning

confidence: 99%

Stress threshold identification of progressive fracturing in Bukit Timah granite under uniaxial and triaxial stress conditions

Lee

Rathnaweera

2016

Geomech. Geophys. Geo-energ. Geo-resour.

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This paper reports the results of an extensive study of the deformation and fracturing of Bukit Timah granite in Singapore under uniaxial and triaxial loading conditions. In the investigation, the stress fracturing thresholds (crack initiation, crack coalescence and crack damage) were determined using stress-strain and stiffness curves and the acoustic emission (AE) detection technique. Crack initiation was found to be best determined by the volumetric strain curve in both uniaxial and triaxial compression tests. The subjectivity of determining the crack closure region and these stress thresholds can be overcome and the results validated by the AE technique by simply observing the cumulative curve of the AE count plotted against deviator stress, which showed four distinctive zones of fracturing. Furthermore, AE detection in the loading stage was found to be a powerful method for determining the phenomena of stable and unstable crack propagation, which are helpful in predicting the rockburst phenomenon. Finally, a comprehensive petrographical analysis using a petrological microscope and a scanning electron microscope was performed to identify the mode of cracking and the characterisation of the cracking pattern.

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Section: Acoustic Emission (Ae) Techniquementioning

confidence: 99%

Stress threshold identification of progressive fracturing in Bukit Timah granite under uniaxial and triaxial stress conditions

Lee

Rathnaweera

2016

Geomech. Geophys. Geo-energ. Geo-resour.

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“…This type of analysis has been mainly used for evaluating the severity of damage or for discrimination between different damage types. A number of studies have demonstrated the success of this approach in laboratory studies [16], but few or no practical applications of this technique have emerged. Gorman [17] introduced a new approach providing a better theoretical background for AE testing, which is now known as MAE.…”

Section: Acoustic Emission and Acousto-ultrasonic Health Monitoringmentioning

confidence: 99%

Fatigue crack growth monitoring in aluminum using acoustic emission and acousto-ultrasonic methods

Maslouhi

2011

Struct. Control Health Monit.

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SUMMARY Damage monitoring, failure prognostics, and remaining service life prediction represent great technological challenges for reliable maintenance of aeronautical structures. Consequently, there is a whole variety of non‐destructive evaluation techniques that are available to ensure the quality of the metallic structures. The majority of these techniques are able to detect defects such as discontinuities of surface or volume and the variations of section and are applied to discrete intervals. The application of these techniques proves too long and generates high maintenance costs. This paper proposes experimental methodologies to monitor fatigue damage growth in real time and also use a physics‐based model for fatigue life prediction. The aluminum alloy samples, with inserted pre‐cracks in the fastener holes, was tested mechanically in fatigue tension–tension cyclic loading with follow‐up of two complementary health monitoring techniques such as acoustic emission (AE) and acousto‐ultrasonic (AU). The approach uses AE to detect fatigue crack initiation and crack growth in aluminum samples and also applies AU measurements in order to assess global health conditions and damage accumulation during tension–tension cyclic loading. Nasgro analytical fracture mechanic model was used to predict crack growth and to determine the number of the load cycles Nf required to grow the initial crack to final crack size ac. The results indicate that exploiting health monitoring data such as AE signals coupled with analytical physics‐based models provides a convenient methodology to determine the fatigue life and to estimate safety factor on life of the materials tested. Furthermore, this paper demonstrates that AU flexural Lamb wave (A0) offers high potential to track damage before the occurrence of the first crack, such as fatigue damage caused by plastic deformation, and quantitatively to assess fatigue damage stages of the material. Copyright © 2011 John Wiley & Sons, Ltd.

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“…More details about AE can be found in Refs. [14,15]. So far, using AE to detect external leakage, such as leakage from pipelines and pressure vessels, has achieved great success, whereas there is still a lot of work to establish an AE-based method to monitor internal leakage in hydraulic components.…”

Section: Introductionmentioning

confidence: 98%