Graph neural networks for mechanical property prediction of 2D fiber composites

Graph neural networks for mechanical property prediction of 2D fiber composites

This work investigates the ability of graph neural networks (GNNs) to homogenize 2D fiber composite microstructures. We use different inhomogeneity and anisotropy indices to motivate and show that the Volume Elements (VEs) used in ML methods should ideally be far from their Representative Volume Ele...

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Bibliographic Details
Main Authors: Erdem Caliskan, Reza Abedi, Massimiliano Lupo Pasini
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Materials & Design
Subjects:
Machine learning
Fiber composites
Brittle strength
Homogenization
Graph neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525009207
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