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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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Simulations using a Swelling & Random Migration algorithm and finite element homogenization show clustered fiber distributions increase transverse stiffness by up to 20% but reduce tensile strength compared to equilibrium distributions, with mean nearest neighbor distance linearly predicting both pr
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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.
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Modelling the effect of fiber distribution on the transverse mechanical characteristics of unidirectionally reinforced continuous-fiber composite
Simulations using a Swelling & Random Migration algorithm and finite element homogenization show clustered fiber distributions increase transverse stiffness by up to 20% but reduce tensile strength compared to equilibrium distributions, with mean nearest neighbor distance linearly predicting both pr