An introduction to acoustic emission

Scruby, C. B.

doi:10.1088/0022-3735/20/8/001

Cited by 247 publications

(123 citation statements)

References 14 publications

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“…14), it is not surprising that an initial depression observed in the foil surface is opposite to the heating laser beam. Similar results have been reported in the literature (Scruby 1987) for thicker metal samples where the thin plate approximation was not applicable. Maximum amplitudes and shapes of the observed depression vary for different metals and are defined by both the temperature profile (Eq.…”

Section: Thermal and Plasma Driven Acoustic Waves In Metal Foilssupporting

confidence: 91%

Molecular Desorption by Laser–Driven Acoustic Waves: Analytical Applications and Physical Mechanisms

Zinovev¹,

Veryovkin²,

Pellin³

2011

Acoustic Waves - From Microdevices to Helioseismology

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Section: Thermal and Plasma Driven Acoustic Waves In Metal Foilssupporting

confidence: 91%

Molecular Desorption by Laser–Driven Acoustic Waves: Analytical Applications and Physical Mechanisms

Zinovev¹,

Veryovkin²,

Pellin³

2011

Acoustic Waves - From Microdevices to Helioseismology

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“…If long propagation distances in complex structures such as airframes are required, it is advantageous to operate in the 50-100 kHz region where in thin plate-like structures, the energy is carried mainly in the extensional (S0) and flexural (A0) modes; these will propagate across complex geometries. 73 AE has a number of key characteristics that differentiate it from other inspection and monitoring methods: 4 1. The source of the ultrasonic waves is internal, originating in the defect itself, unlike techniques which use an external source, for example, conventional ultrasonics or the guided wave testing discussed in section 'Guided wave monitoring'; it is therefore a passive technique.…”

Section: Large Area Monitoringmentioning

confidence: 99%

“…Full coverage of a large structure would typically require multiple large area monitoring systems to be deployed. 4. Local monitoring-techniques that monitor a small area immediately adjacent to the sensor.…”

Section: Introductionmentioning

confidence: 99%

Structural health monitoring: Closing the gap between research and industrial deployment

Cawley

2018

Structural Health Monitoring

291

203

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There has been a large volume of research on structural health monitoring since the 1970s but this research effort has yielded relatively few routine industrial applications. Structural health monitoring can include applications on very different structures with very different requirements; this article splits the subject into four broad categories: rotating machine condition monitoring, global monitoring of large structures (structural identification), large area monitoring where the area covered is part of a larger structure, and local monitoring. The capabilities and potential applications of techniques in each category are discussed. Condition monitoring of rotating machine components is very different to the other categories since it is not strictly concerned with structural health. However, it is often linked with structural health monitoring and is a relatively mature field with many routine applications, so useful lessons can be read across to mainstream structural health monitoring where there are many fewer industrial applications. Reasons for the slow transfer from research to practical application of structural health monitoring include lack of attention to the business case for monitoring, insufficient attention to how the large data flows will be handled and the lack of performance validation on real structures in industrial environments. These issues are discussed and ways forward proposed; it is concluded that given better focused research and development considering the key factors identified here, structural health monitoring has the potential to follow the path of rotating machine condition monitoring and become a widely deployed technology.

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“…1 The limitation with this approach is that there is no underlying physics identified between the experimental results and the AE signal characteristics. Different sources producing AE signals with similar characteristics may lead to unsubstantiated conclusions being drawn.…”

Section: Introductionmentioning

confidence: 99%

Band-limited Green's Functions for the Quantitative Evaluation of Acoustic Emission using the Finite Element Method

Leser

Fang

2013

54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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A method of numerically estimating dynamic Green's functions using the finite element method is proposed. These Green's functions are accurate in a limited frequency range dependent on the mesh size used to generate them. This range can often match or exceed the frequency sensitivity of the traditional acoustic emission sensors. An algorithm is also developed to characterize an acoustic emission source by obtaining information about its strength and temporal dependence. This information can then be used to reproduce the source in a finite element model for further analysis. Numerical examples are presented that demonstrate the ability of the band-limited Green's functions approach to determine the moment tensor coefficients of several reference signals to within seven percent, as well as accurately reproduce the source-time function.

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An introduction to acoustic emission

Cited by 247 publications

References 14 publications

Molecular Desorption by Laser–Driven Acoustic Waves: Analytical Applications and Physical Mechanisms

Molecular Desorption by Laser–Driven Acoustic Waves: Analytical Applications and Physical Mechanisms

Structural health monitoring: Closing the gap between research and industrial deployment

Band-limited Green's Functions for the Quantitative Evaluation of Acoustic Emission using the Finite Element Method

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