Predicting transient response using data-driven models for ball-impact simulations
This study investigates the application of machine learning (ML) models for predicting transient responses in ball-impact elastodynamics simulations. We focus on the canonical problem of ball impact on laminated structures, which captures essential physics while maintaining computational tractabilit...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2024-01-01
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Series: | Journal of Physics Communications |
Subjects: | |
Online Access: | https://doi.org/10.1088/2399-6528/ad9f1f |
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