Rupture Tests of Reinforcing Fibers and a Unidirectional Laminate Using Acoustic Emissions

Махутов, Н. А.; Matvienko, Yu. G.; Иванов, В. И.; Васильев, И. Е.; Chernov, D. V.

doi:10.1134/s0020441222020014

Cited by 8 publications

(2 citation statements)

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“…According to the results obtained in [11][12][13], to estimate the damage degree of materials by investigating the parameters of the registered AE signals, an assessment of the correlation dependence between the primary AE signal parameters and the level of the applied load should be made. The values of amplitude um, AE activity Ń, and energy E of acoustic signals were used as primary AE parameters.…”

Section: Introductionmentioning

confidence: 99%

“…For a more accurate damage degree assessment, a comprehensive analysis of AE data is usually performed. Thus, complex AE parameters were applied in [5,[11][12][13][14]. For instance, the ratio of the rise time to the maximum amplitude of the AE signal, the ratio of the spikes number to the AE signal duration, as well as the slope of the linear function approximating the shape of the AE signal amplitude distribution were used.…”

Section: Introductionmentioning

confidence: 99%

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Damage Degree Assessment of Steel Products Based on the Statistical Processing of Acoustic Emission Signal Flow

Marchenkov¹,

Vasiliev²,

Chernov³

et al. 2023

Preprint

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This research is aimed to develop the method for damage degree evaluation in metals and alloys during their deformation and destruction based on acoustic emission (AE) technique. Experimental studies were carried out on tensile specimens of high-strength steel with simultaneous registration of AE signals in tested material. It was shown that the time-dependent AE primary parameters, such as the AE signal maximum amplitudes and AE activity, do not have a clear relationship with the material damage degree. This fact makes it difficult to use standard methods for assessing the damage degree of acoustic signal sources, including defects. It was proposed to use the Kolmogorov-Smirnov criterion to differ the processes of metal plastic deformation and crack propagation during the rupture. The possibility of estimating the material damage degree by high-energy AE hits share was shown. Besides, a particular expression was obtained for evaluating the damage degree for the material under study.

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Section: Introductionmentioning

confidence: 99%