Acoustic emission mechanisms during high-cycle fatigue

Hamel, François; Baïlon, J.-P.; Bassim, M.N.

doi:10.1016/0013-7944(81)90097-7

Cited by 52 publications

(26 citation statements)

References 6 publications

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“…Lindley et al [13] improved the Harris and Dunegan model by considering that the contributions to AE counts were not only from crack extension but also from the plastic deformation and fracture events within the plastic zone ahead of the crack tip. Researchers then focused testing to obtain the specific relationship between count rate and stress intensity range for the material of interest [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Prediction of fatigue crack growth in steel bridge components using acoustic emission

Ziehl

Zárate

et al. 2011

Journal of Constructional Steel Research

161

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Section: Introductionmentioning

confidence: 99%

Prediction of fatigue crack growth in steel bridge components using acoustic emission

Ziehl

Zárate

et al. 2011

Journal of Constructional Steel Research

161

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“…Acoustic emission monitoring has shown to be able to detect crack growth behavior [2][3][4][5][6][7][8][9][10][11] and assess integrity of structures such as bridges and aircraft [12][13][14][15]. The method has the notable advantage that the precise location of cracking does not need to be known for evaluation purposes.…”

Section: Steel Bridge Monitoring With Acoustic Emissionmentioning

confidence: 99%

Adaptation of PWAS transducers to acoustic emission sensors

Momeni

Godinez

et al. 2011

SPIE Proceedings

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Piezoelectric wafer active sensors (PWAS) are non-intrusive transducers that can convert mechanical energy into electrical energy, and vice versa. They are well known for their dual use as either actuators or sensors. Though PWAS has shown great potential for active sensing, its capability for acoustic emission (AE) detection has not yet been exploited. In the reported work, we have explored the implementation of PWAS transducers for both passive (AE sensors) and active (in-situ ultrasonic transducers) sensing using a single PWAS network. The objective of the work presented in this paper is to adapt PWAS as AE sensors and compare it to the commercially available AE transducers such as PAC R15.An experiment has been designed to show how PWAS can be used for AE detection and the results were compared to a standard AE sensor, PAC R15I. Tests on compact tension specimens have also been conducted to show PWAS capability to pick up AE events during fatigue loading. PWAS field installation technology has been tested with packaging similar to that used for traditional strain gauges. The performance of packaged PWAS has been compared with that of conventional AE transducers R15I. We have found that PWAS not only can detect the presence of AE events but also can provide a wide frequency bandwidth. At this stage, PWAS underperforms the commercial AE sensors. To make PWAS ready for field test, signal to noise ratio needs to be significantly improved.

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“…Following the approach of Harris and Dunegan [36], the relationship between the acoustic emission count rate, N:, and the stress intensity factor range, 6.K, is given by (12) where A and n are constants. A combination of plastic deformation and fracture mechanisms can be responsible for the overall acoustic emission signal/counts, depending on the ductility of the tested material and the test conditions (the loading ratio R =am;n/amax) [37][38][39]. Hence the detected acoustic emission signals were either due to the energy released during crack extension or due to the deformation and fracture phenomena.…”

Section: Acoustic Emission Modelmentioning

confidence: 99%