Predicting transient response using data-driven models for ball-impact simulations

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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Bibliographic Details
Main Authors: Ross Pivovar, Fei Chen, Raghunath Katragadda, Vidyasagar Ananthan
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Journal of Physics Communications
Subjects:
transient
elastodynamics
FNO
CNNs
data-driven models
ML
Online Access:https://doi.org/10.1088/2399-6528/ad9f1f
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