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Multiscale deep learning for woven composites

Mirkhalaf's picture

Woven composites exhibit a complex hierarchical structure with multiple heterogeneous sub-scales, stemming from microscale fiber arrangements and mesoscale interlacing patterns, necessitating sophisticated modeling approaches to accurately capture their intricate multiscale nature.
In our recently published paper, we are proposing a data-driven approach for multi-scale modelling of elastic woven composites where a heterogenous meso-structure and a wide variety of micro-structures are considered. Open access to the paper: 

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