Babudzhan, Ruslan A.Vodka, Oleksii O.Shapovalova, Mariia I.2024-10-212022Babudzhan R. A. Application of machine learning methods for predicting the mechanical behavior of dispersion-strengthened composite material / R. Babudzhan, O. Vodka, M. Shapovalova // Strength and durability of modern materials and constructions : Proc. of the International scientific and technical conf., November 10-11, 2022. – Ternopil : PE Palianytsia V. A., 2022. – P. 67–69.https://repository.kpi.kharkov.ua/handle/KhPI-Press/82549The work is devoted for creating a model for approximating the solution by the finite element method of the problem of plane deformation of a dispersion-strengthened composite material. An algorithm for constructing a parametric 2-D composite model is proposed. The processing of the parameters of the microstructure material stress-strain state occurs using a convolutional neural network. A surrogate model is used for calculations speed up and determine the overall approximations quality of such type mechanics problems.enmachine learning methodscomposite materialtechnologymarketsartificial intelligencedispersion-strengthened compositeArticle