Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids
A novel deep-learning method is adopted to predict effective mechanical properties of epoxy-based fiber-reinforced composites. In order to generate mechanical properties and image data for learning, appropriate RVEs together with periodic boundary conditions are used in FEMs. Using a random algorith...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-01-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132251315871 |
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