Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference

Ennaceur, C.; Laksimi, A.; Herve, C.; Cherfaoui, M.

doi:10.1016/j.ijpvp.2005.12.004

Cited by 85 publications

(39 citation statements)

References 2 publications

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“…Also, with reference to the works of (Na et al, 2006), (Ennaceur et al, 2006), (Stanković and Bruhns, 2008) and (Martínez González et al, 2010) show that, it could be said that in this stage, AE activities in weld zones are greater than steel zone. Thus the peak of AE activity in these zones is observable.…”

Section: Resultsmentioning

confidence: 94%

Damage Source Identification of Welded Steel Beam Specimen Using Acoustic Emission

Panjsetooni¹,

Bunnori²,

Shirkhani³

et al. 2013

IJSRK

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Abstract. Acoustic emission (AE) method is a passive non-destructive technique is being used as the prime candidate in structural health and damage monitoring in civil structure for investigation process of damage in both case local and global monitoring. This technique was employed for investigation process of damage in steel beam specimens. Several-welded steel beam specimens were built and tested under loading cycle and were simultaneously monitored using AE. According the stages of failure of welded steel beams, The AE test data were analyzed by AE source location method. The results showed that source location of damage in steel structures could be identified using AE technique.

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Section: Resultsmentioning

confidence: 94%

Damage Source Identification of Welded Steel Beam Specimen Using Acoustic Emission

Panjsetooni¹,

Bunnori²,

Shirkhani³

et al. 2013

IJSRK

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“…Many research used AE basic descriptors in their analysis. A group of researchers monitored of crack propagation in the pressure vessel, where they used the counts, duration, amplitude, and rise time to detect various stages of damage of heat affected zone (HAZ) and welded steel [28]. Latest, all the basic descriptors ie., hit, count, rise time, and amplitude were used to localise and identify the fatigue matrix cracking and delamination in the carbon fibre panel [29].…”

Section: Resultsmentioning

confidence: 99%

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

Mohammad

Tajuddin

Abdullah³

et al. 2022

Int. J. Automot. Mech. Eng.

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This paper described the capability of acoustic emission (AE) technique in monitoring the fatigue damage level using unsupervised clustering technique. As fatigue damage is being a major contributing factor to component failure, it is essential to evaluate the level of damage caused by fatigue load in order to prevent the catastrophic failure of the structure. It is a concern in this study to differentiate the AE signals according to the fatigue damage stages by implementing an unsupervised clustering technique. In this study, the AE signals were collected on specimens made of medium carbon steel SAE 1045 that underwent the axial fatigue testing. The test was run at three loading values of 600, 640 and 680 MPa. The pattern behaviour of AE signals was recorded using a piezoelectric sensor in a form of time domain history signal. Later, the AE signals collected were analysed and clustered using K-means technique. Five clusters of K1, K2, K3, K4, and K5 have been found for the specimens subjected to stress value of 600-680 MPa. The optimum numbers of K clusters were determined using the smallest objective function in their group which ranges between 2.6 to 3.0. This pilot investigation shows that it may be useful to estimate the remaining life for a component before it fails.

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“…The welding crack develops through three stages: initiation of tiny crack, crack stable propagation and rapid fracture [5]. …”

Section: Analysis Of Time Domain Waveform and Frequency Spectrum Featmentioning

confidence: 99%

“…The typical characteristic parameters and waveform features of the AE signals are collected and extracted at the three development stages of welding crack, namely as crack initiation, growth and fracture [5], and the crack position was located by way of linear location.…”

Section: Introductionmentioning

confidence: 99%

AE Feature Analysis on Welding Crack Defects of HG70 Steel Used by Truck Crane

Dou

Xiaoli

Wang

et al. 2011

Computer and Computing Technologies in Agriculture IV

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Abstract. In present paper, using Acoustic Emission (AE) as a ultrasonic technique, Welding crack has been investigated on the HG70 steel used by truck crane during three-point bending test was carried out. The study shows that the activity of AE increases greatly during the welding crack initiates and propagates, and the distributing range of AE characteristic parameters can be fixed. AE signals of welding crack initiation and expansion are typical sudden signals which have a different spectrum energy distribution range with that of unstable crack propagation.

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Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference

Cited by 85 publications

References 2 publications

Damage Source Identification of Welded Steel Beam Specimen Using Acoustic Emission

Damage Source Identification of Welded Steel Beam Specimen Using Acoustic Emission

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

AE Feature Analysis on Welding Crack Defects of HG70 Steel Used by Truck Crane

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