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Model of the Operator Dynamic Process of Acoustic Emission Occurrence While of Materials Deforming

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2019)

Abstract

The task of identifying and predicting the processes of mechanical properties changes during the loading of metal structures according to acoustic emission signals is considered. A model and algorithm for finding the operator of the dynamic process of the output signal appearance in the acoustic emission source are proposed. To find the dynamic process operator, the experimental results of the occurrence of AE signals when testing on four-point bending of specimens of St3sp steel were used. To restore the original analogue signal AE from the spectrum of the diagnosing system output signal, sampling theorem was used. It is proposed to represent the polynomial approximation of the AE signal envelope as a model of a potential function in the Schrödinger equation for the anharmonic oscillator as a structural unit of the solid state vibrational dynamics. A quantitative estimate of the potential energy of the anharmonic oscillator is obtained. The adequacy and accuracy of the considered operator model of the dynamic process of the AE signals appearance is established.

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Correspondence to Dmitry Stepanchikov .

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Marasanov, V., Sharko, A., Stepanchikov, D. (2020). Model of the Operator Dynamic Process of Acoustic Emission Occurrence While of Materials Deforming. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol 1020. Springer, Cham. https://doi.org/10.1007/978-3-030-26474-1_4

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