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Data-driven optimization of fiber orientation using physics-enhanced machine learning and substructuring method
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DOI：10.1016/j.tws.2025.114264.png)
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Abstract
En 中文
• A novel data-driven intelligent method for optimizing spatially varying fiber orientation. • Linearity-assumption- enhanced substructuring method for drastic model order reduction. • Physics-enhanced ANN enables real-time prediction of substructure shape functions. • Numerical examples confirm improved computational efficiency of the proposed method.
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