Detection of parallel double crack in pressure vessel based on optical fibre ultrasonic sensing

Liu, Qi; Qin, Zhongbao; Zou, Zijie; Li, Yiyi; Jianfeng, Guo; Lei, Qian

doi:10.1016/j.yofte.2021.102784

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…All pressure equipment can present a significant risk in the event of failure [3,4]. Researchers from the beginning of the 20 th century tried to understand how a crack could lead to the failure of components.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study of the Damage Mechanisms for CT Tensile Specimens of P265GH Steel Material

Lahlou

En-Naji²,

Mouhib³

et al. 2023

Period. Polytech. Mech. Eng.

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The aim of this paper is to determine the damage mechanisms of P265GH steel, commonly used for pressure equipment. First, an experimental study using tensile and Charpy tests allowed us to determine the mechanical properties (Young modulus E = 200 GPa, elongation ε = 35%, yield se = 320 MPa, ultimate stress su = 470 MPa, and KIC = 96 MP√m). Then, numerical finite element modeling on a CT specimen using the CASTEM calculation code allowed us to determine the damage of the material when the notch depth varies. The analysis of the results shows that the numerical values of the stress concentration coefficient Kt and the stress intensity factor KI are comparable with the analytically calculated values, thus validating our numerical study. The numerical results obtained revealed that the maximum stress σmax is located in the vicinity of the notch bottom and the high probability density corresponds to a high loading level.

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Section: Introductionmentioning

confidence: 99%

A Numerical Study of the Damage Mechanisms for CT Tensile Specimens of P265GH Steel Material

Lahlou

En-Naji²,

Mouhib³

et al. 2023

Period. Polytech. Mech. Eng.

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“…The ultrasonic Lamb waves generated in all-fiber photoacoustic systems by realizing the thermoelastic light effect for excitation in plates can work properly in the harsh environment of electromagnetic interference [1] [2] . However, the ultrasonic Lamb waves generated by the laser thermoelastic effect are not only weak and difficult to control the frequency [3] , but also have the characteristics of nonlinearity, non-smoothness and mode mixing [4] [5] . The ultrasonic Lamb wave signal propagation process excited by the all-fiber system is complex, and the detection signal is influenced by the mode mixing during defect identification and localization [6] [7] .…”

Section: Introductionmentioning

confidence: 99%

Defect identification and localization method based on all-fiber photoacoustic non-destructive testing system

Zhang

Wang

2023

Third International Conference on Digital Signal and Computer Communications (DSCC 2023)

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The all-fiber photoacoustic system can work properly in the harsh environment of electromagnetic interference and has the potential advantage of achieving a wide range of distributed detection. However, the ultrasound signal of all-fiber system is affected by signal mode mixing, which will have an impact on defect identification and localization, and the time varying filtering based empirical mode decomposition (TVF-EMD) algorithm is used to solve the effect of mode mixing. According to different modes with different signal characteristics, this work proposes a defect identification and localization method based on an all-fiber photoacoustic NDT system. After experimental testing, the method can identify and locate the number and shape of defects in a thin metal plate with a bar-shaped penetration defect of aluminum alloy 6061 of size 50*50*0.1 cm 3 .

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Analysis of damage in mono composite leaf spring subjected to multiple cracks scenario

Jamadar¹,

Waghudle²,

Dhummansure³

et al. 2023

Int J Interact Des Manuf

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Detection of parallel double crack in pressure vessel based on optical fibre ultrasonic sensing

Cited by 4 publications

References 10 publications

A Numerical Study of the Damage Mechanisms for CT Tensile Specimens of P265GH Steel Material

A Numerical Study of the Damage Mechanisms for CT Tensile Specimens of P265GH Steel Material

Defect identification and localization method based on all-fiber photoacoustic non-destructive testing system

Analysis of damage in mono composite leaf spring subjected to multiple cracks scenario

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