Using conditional generative adversarial networks for the prediction of stresses in an adhesive composite
Abdul Wasay Khan,
Claudio Balzani
Abstract:Fiber reinforced adhesives are an integral part of wind energy turbine blades and play an important role in evaluation of structural integrity of the blades. Digitization of manufacturing processes and demand for fast and efficient stress analysis argues for the application of deep learning. As a step forward in using deep learning to predict structural properties in composite, the work would explore the applicability of deep learning methods to 2D fiber reinforced composite. In this work, a composite adhesive… Show more
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