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UNSUPERVISED LEARNING METHODS FOR IDENTIFICATION OF DEFECTS IN HETEROGENEOUS MATERIALS
(Proceedings of the American Society for Composites—Thirty-fifth Technical Conference, 2020-09-17)
**Please note that the full text is embargoed** ABSTRACT: The complexity of composite materials due to the nature of their numerous laminated layers, stacking sequences, type of fibers, resin, and other external factors ...
Ordinary Differential Equations with Machine Learning for Prediction of Smart Composite Fracture Toughness
(American Society for CompositesDEStech Publications, Inc., 2021)
**Please note that the full text is embargoed** ABSTRACT: This work in on the development of an ordinary differential equation (ODE) model coupled with statistical methods for the prediction of fracture toughness of a ...