Develops an integrated pipeline using ellipse-based extraction, copula-autoregressive stochastic modeling, Bayesian hyperparameter tuning, and iterative physical growth to produce synthetic 3D fiber microstructures statistically equivalent to experimental CT data.
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Autoregressive Modelling and Synthetic Generation of High-Fidelity, Statistically Equivalent 3D Microstructures for As-Manufactured Misalignments in Fiber-Reinforced Composites
Develops an integrated pipeline using ellipse-based extraction, copula-autoregressive stochastic modeling, Bayesian hyperparameter tuning, and iterative physical growth to produce synthetic 3D fiber microstructures statistically equivalent to experimental CT data.