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The Study of Stratification of Multilayer Structures Based on Finite Element Modeling and Neural Network Technologies

  • A. V. CherpakovEmail author
  • P. V. Vasiliev
  • A. N. Soloviev
  • I. A. Parinov
  • B. V. Sobol
Conference paper
  • 28 Downloads
Part of the Springer Proceedings in Materials book series (SPM, volume 6)

Abstract

An approach to solving the problem of identifying the thickness of the layers of a multilayer structure using the combination of the finite element method and artificial neural networks (ANNs) is presented. The simulation of a multilayer structure in the ANSYS finite element software is presented. The construction model consists of 4 layers, each of which has certain properties. The model is an imitation of the soil foundation of the road surface. Simulation in the form of a simplified, plane statement of the problem is considered. The analysis of surface waves, excited during the simulation of impact loading. The wave field of displacements in a given section of the structure is analyzed. Based on a numerical experiment, an approach is constructed to estimate the thickness of one of the layers of the structure. The application of ANN to restore information about the thickness of one of the layers is considered. As a result of the study, a method for identifying the thickness of the layers of a multilayer structure was developed, based on a combination of the finite element method and ANN.

Notes

Acknowledgements

Research was financially supported by Southern Federal University, 2020 grant number VnGr/2020-04-IM (Ministry of Science and Higher Education of the Russian Federation).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • A. V. Cherpakov
    • 1
    • 2
    Email author
  • P. V. Vasiliev
    • 3
  • A. N. Soloviev
    • 1
    • 2
  • I. A. Parinov
    • 2
  • B. V. Sobol
    • 3
  1. 1.Department of Theoretical and Applied MechanicsDon State Technical UniversityRostov-on-DonRussia
  2. 2.Institute of Mathematics, Mechanics and Computer Sciences, Southern Federal UniversityRostov-on-DonRussia
  3. 3.Department of Information TechnologiesDon State Technical UniversityRostov-on-DonRussia

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