Moment-tensor inversion and decomposition for cracks in thin plates

Kong, Yong; Li, Min; Chen, Weimin; Liu, Ning; Kang, Boqi

doi:10.1016/j.cja.2020.07.009

Cited by 6 publications

(3 citation statements)

References 31 publications

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“…Cracks penetrate the plate thickness. Then, the moment tensor inversion can be further simplified according to Kong, et al [29]:…”

Section: Synthetic Testsmentioning

confidence: 99%

“…The material parameters are selected according to the data in references [30][31][32] and are listed in Table 1. The length of plate L is 2 m (as shown in Figure 4) and the thickness is 0.01 m. To stimulate the cracking process and calculate the AE signals, the AE source of precast cracks is used and its reliability has been proven [29]. For the precast crack in the FE model, the dislocation of crack surfaces is simulated by enforced displacement.…”

Section: Model Parametersmentioning

confidence: 99%

“…For the precast crack in the FE model, the dislocation of crack surfaces is simulated by enforced displacement. Although the enforced displacement of crack surfaces is different from the true mechanism of the To stimulate the cracking process and calculate the AE signals, the AE source of precast cracks is used and its reliability has been proven [29]. For the precast crack in the FE model, the dislocation of crack surfaces is simulated by enforced displacement.…”

Section: Model Parametersmentioning

confidence: 99%

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An Inversion Method Based on Inherent Similarity between Signals for Retrieving Source Mechanisms of Cracks

et al. 2022

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The knowledge of cracking mechanisms is significant for evaluating the healthy condition of aircraft structures and can be retrieved by moment tensor inversion based on the acoustic emission (AE) phenomenon. For engineering applications, the inversion method cannot compute accurate results because the waveforms recorded by sensors are commonly contaminated by noise. Consequently, the correlation calculation of de-noising is introduced into the inversion and sufficient correlation functions are needed. In this paper, the correlation function of raw waveforms is proposed and based on the inherent similarity between the signals induced by one source and recorded by different sensors. According to the synthetic tests, the error of the inversion method based on the new correlation function is approximately 1/10 of that of the commonly used amplitude method. Although the inversion accuracy is influenced by the phase differences and the ratio of noise frequency to signal frequency, the influence is limited and the new correlation function is suitable for most practical cases. The inversion method based on the new correlation function does not require the knowledge of noise spectra or any complex calculation processes and provides a new way to improve the inversion accuracy of cracking mechanisms with little additional computation consumption.

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“…Cracks penetrate the plate thickness. Then, the moment tensor inversion can be further simplified according to Kong, et al [29]:…”

Section: Synthetic Testsmentioning

confidence: 99%