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Plastic zone-informed deep learning methods: Fracture toughness prediction considering constraint effects
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DOI：10.1016/j.engfracmech.2026.112527.png)
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Abstract
En 中文
• A plastic zone-informed deep learning framework is proposed for KIC prediction. • Four ANN models are compared to identify the optimal prediction strategy. • Mechanism analysis indicates that three Fourier descriptors have distinct meanings.
Keywords:
ANN models
Deep learning
Fracture toughness
Constraint effect
Plastic zone
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