Multiscale Analysis of Composite Structures with Artificial Neural Network Support for Micromodel Stress Determination

Structures made of heterogeneous materials, such as composites, often require a multiscale approach when their behavior is simulated using the finite element method. By solving the boundary value problem of the macroscale model, for previously homogenized material properties, the resulting stress ma...

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Bibliographic Details
Published in:	Materials Vol. 17; no. 1; p. 154
Main Authors:	Kuś, Wacław, Mucha, Waldemar, Jiregna, Iyasu Tafese
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 27-12-2023 MDPI
Subjects:	Artificial neural networks Boundary conditions Boundary value problems Composite materials Composite structures Efficiency Epoxy resins Finite element analysis Finite element method Fourier transforms Glass fiber reinforced plastics Glass-epoxy composites Homogenization Load Localization Machine learning Material properties Methods Microstructure Multiscale analysis Neural networks Numerical analysis Simulation artificial neural network homogenization fiber-reinforced composite finite element method composite material multiscale modeling machine learning
Online Access:	Get full text
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