Application of machine learning methods for predicting the mechanical behavior of dispersion-strengthened composite material
Дата
2022
ORCID
DOI
item.page.thesis.degree.name
item.page.thesis.degree.level
item.page.thesis.degree.discipline
item.page.thesis.degree.department
item.page.thesis.degree.grantor
item.page.thesis.degree.advisor
item.page.thesis.degree.committeeMember
Назва журналу
Номер ISSN
Назва тому
Видавець
ФОП Паляниця В. А.
Анотація
The 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.
Опис
Ключові слова
machine learning methods, composite material, technology, markets, artificial intelligence, dispersion-strengthened composite
Бібліографічний опис
Babudzhan 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.