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Energy Management of Municipal Transportation Facilities and Transport

EMMFT 2017: International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017 pp 902–907Cite as

Forecasting the Strength of an Adhesive Bond Over a Long Period of Time

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 692))

Abstract

We consider the problem of the adhesion compound of calculation by finite element method in axisymmetric along two axes: the axial z and radial r. To improve the accuracy of the solution to the problem posed, a number of optimizations are introduced: obtaining an exact solution of the stiffness matrix and the load vector for a given interpolation polynomial, using a nonconstant approximating time interval, thickening of the finite element grid to the edges of a cylindrical body, etc. At the end, predicting the strength of the adhesive compound in question. At the end, an analysis of the result obtained and a prediction of the strength of the adhesive compound under consideration are given.

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Author information

Authors and Affiliations

  1. Don State Technical University, Rostov-on-Don, Socialisticheskaya str., 162, 344022, Rostov-on-Don, Russia

    Stepan Litvinov, Alexander Zhuravlev & Serdar Yazyev

  2. North-Caucasus State Humanitarian-Technological Academy, Stavropol str., 36, 369001, Cherkessk, Russia

    Salis Bajramukov

Authors
  1. Stepan Litvinov
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  2. Alexander Zhuravlev
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  3. Salis Bajramukov
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  4. Serdar Yazyev
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Corresponding author

Correspondence to Stepan Litvinov .

Editor information

Editors and Affiliations

  1. Moscow State University of Civil Engineering, Moscow, Russia

    Vera Murgul

  2. Department of Roads, Airports and Railways, Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia

    Zdenka Popovic

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Litvinov, S., Zhuravlev, A., Bajramukov, S., Yazyev, S. (2018). Forecasting the Strength of an Adhesive Bond Over a Long Period of Time. In: Murgul, V., Popovic, Z. (eds) International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017. EMMFT 2017. Advances in Intelligent Systems and Computing, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-319-70987-1_97

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  • DOI: https://doi.org/10.1007/978-3-319-70987-1_97

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70986-4

  • Online ISBN: 978-3-319-70987-1

  • eBook Packages: EngineeringEngineering (R0)

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