Methodology for Determining the Properties of Composite Material Components Based on Migration Algorithms of Global Optimization

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Abstract

A mathematical model has been formed for calculating the elastic characteristics of a generalized material based on the properties of a transversely isotropic fiber and an isotropic matrix. The problem of choosing the parameters of materials is formulated as the problem of minimizing the objective function on a parallelepiped set of admissible solutions. To solve it, classical and modified self-organizing migration algorithms of global optimization belonging to the group of metaheuristic are applied. Recommendations on the selection of the best parameter values are obtained.

General Information

Keywords: composite material, homogenization, fiber, matrix, migration algorithm, optimization method

Journal rubric: Optimization Methods

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130207

Received: 21.04.2023

Accepted:

For citation: Panteleev A.V., Kovtunov S.S., Rakitianskii V.M. Methodology for Determining the Properties of Composite Material Components Based on Migration Algorithms of Global Optimization. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2023. Vol. 13, no. 2, pp. 123–141. DOI: 10.17759/mda.2023130207. (In Russ., аbstr. in Engl.)

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Information About the Authors

Andrey V. Panteleev, Doctor of Physics and Matematics, Professor, Head of the Department of Mathematical Cybernetics, Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0003-2493-3617, e-mail: avpanteleev@inbox.ru

Sergey S. Kovtunov, Postgraduate Student of the Institute "Aviation Engineering", Moscow Aviation Institute (National Research University) (MAI), Moscow, Russia, ORCID: https://orcid.org/0000-0002-7264-0694, e-mail: kovtunov.99@inbox.ru

Vladislav M. Rakitianskii, Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0001-7894-7462, e-mail: rymbelv@gmail.com

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