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Reconstruction of Defect Configuration in Plane Construction Using Numerical Modeling and Neural Networks at Positional Scanning

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Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) (MMMS 2020)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The results of modeling a plane construction with defect are presented. The aim of the work is to identify the parameters of the defect based on the use of finite element modeling (FEM) and artificial neural network (ANN). The properties and configuration of the defect differ from the layer in which it is located. The calculation of construction oscillations is carried out during its impulse loading at a certain point of the construction surface. The shape of the defect is considered as identifiable parameter of the defect. Neural networks are used as a tool for analysis. Surface waves excited by impulse loading are considered as input parameters. The results of the restoration of defect parameters obtained on the base of a combination of FEM and ANN are presented.

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Acknowledgment

Research was financially supported by Southern Federal University, grant No. VnGr-07/2020–04-IM (Ministry of Science and Higher Education of Russia).

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Authors and Affiliations

  1. Southern Federal University, Rostov-on-Don, Russia

    A. N. Soloviev, I. A. Parinov & A. V. Cherpakov

  2. Don State Technical University, Rostov-on-Don, Russia

    A. N. Soloviev & A. V. Cherpakov

Authors
  1. A. N. Soloviev
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  2. I. A. Parinov
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  3. A. V. Cherpakov
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Editor information

Editors and Affiliations

  1. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  2. Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea (Republic of)

    Yun-Hae Kim

  3. School of Mechanical Engineering, Nagaoka University of Technology, Nagaoka, Japan

    Kozo Ishizaki

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Nguyen Duc Toan

  5. Vorovitch Research Institute of Mechanics and Applied Mathematics, Southern Federal University, Rostov-on-Don, Russia

    Ivan A. Parinov

  6. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

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Soloviev, A.N., Parinov, I.A., Cherpakov, A.V. (2021). Reconstruction of Defect Configuration in Plane Construction Using Numerical Modeling and Neural Networks at Positional Scanning. In: Long, B.T., Kim, YH., Ishizaki, K., Toan, N.D., Parinov, I.A., Vu, N.P. (eds) Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). MMMS 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-69610-8_32

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  • DOI: https://doi.org/10.1007/978-3-030-69610-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69609-2

  • Online ISBN: 978-3-030-69610-8

  • eBook Packages: EngineeringEngineering (R0)

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