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Deep Learning-Enabled Explicit Dynamics Model Parameters for Composite Structures
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AI
DOI：10.1016/j.ijmecsci.2026.111472.png)
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Abstract
En 中文
• A dynamic equation correction network is proposed for explicit dynamics modeling. • Introduce Network Structure Solidification to lock learned dynamics relationships. • DynCorrNet explicits dynamics modelling with temperatures, structures and molding conditions. • Explicit equation reveals the influence mechanism of temperature changes and nonlinearity. • Provide a physically interpretable alternative to black-box dynamics models.
Keywords:
Deep Learning
Explicit Dynamics Model
Composite Structures
Network Structure Solidification
Physically Interpretable Models
Journal
IF:
9.4
Papers:
1.0W
Citations:
4.5W