Prediction of Effective Elastic and Thermal Properties of Heterogeneous Materials Using Convolutional Neural Networks

Prediction of Effective Elastic and Thermal Properties of Heterogeneous Materials Using Convolutional Neural Networks

The aim of this study is to develop a new method to predict the effective elastic and thermal behavior of heterogeneous materials using Convolutional Neural Networks CNN. This work consists first of all in building a large database containing microstructures of two phases of heterogeneous material w...

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Bibliographic Details
Main Authors: Hamdi Béji, Toufik Kanit, Tanguy Messager
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Mechanics
Subjects:
numerical homogenization
convolutional neural network
deep learning
regression model
Online Access:https://www.mdpi.com/2673-3161/4/1/16

Internet

https://www.mdpi.com/2673-3161/4/1/16

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