Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models

In this article, an investigation was carried out to verify hybrid models capabilities to predict the effective properties of heterogeneous materials. A hybrid model ANN−φ is developed by combining artificial neural networks and micromechanical modeling. The homogenization approach used in this stud...

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Veröffentlicht in:	International journal for numerical methods in engineering 2022-02, Vol.123 (3), p.794-819
Hauptverfasser:	Danoun, Aymen, Pruliére, Etienne, Chemisky, Yves
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural network Artificial neural networks Computational efficiency Computing time effective properties Engineering Sciences Eshelby tensor heterogeneous materials homogenization inclusion problems Materials Mechanical properties Neural networks Tensors
Online-Zugang:	Volltext
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