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AIP Conference ProceedingsVolume 2293, 24 November 2020, Article number 120010International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019; Sheraton Rhodes ResortRhodes; Greece; 23 September 2019 through 28 September 2019; Code 165330

Simulation of a two-phase composite material with a system of fibers disoriented in space(Conference Paper)(Open Access)

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  • Ural Federal University, Mira 19, Yekaterinburg, 620002, Russian Federation

Abstract

The proposed method is based on the generally accepted operation of averaging properties at different orientations of the axes of elastic symmetry of the material in the areas, each of which is a unidirectional monotropic material. At the same time, statistical characteristics of fiber distribution in the composite material are introduced - texture parameters that uniquely determine the elastic properties of the material. As a result, it is possible to obtain the average values of the elastic characteristics of the spatially reinforced composite material, linearly dependent on the elastic characteristics of the unidirectionally directed composite material and texture parameters for any fiber distribution in the material under the restriction that the material is orthotropic. Similar expressions are obtained for the mean compliance coefficients. © 2020 American Institute of Physics Inc.. All rights reserved.

Author keywords

Composite materialEffective characteristicsElastic properties anisotropyElasticityFibersMacroscopic modulus of elasticityMethod of generalized self-consistent fieldSpatially reinforced composite materialTexture parametersTransversely isotropic materialYoung's modulus
  • ISSN: 0094243X
  • ISBN: 978-073544025-8
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1063/5.0031295
  • Document Type: Conference Paper
  • Volume Editors: Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Simos T.E.,Tsitouras C.
  • Publisher: American Institute of Physics Inc.

  Romanovskaia, E.M.; Ural Federal University, Mira 19, Yekaterinburg, Russian Federation;
© Copyright 2020 Elsevier B.V., All rights reserved.

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