Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites
Vade Shah, Steven Zadourian, Charles Yang, Zilan Zhang, Grace X. Gu
Abstract
Supervised machine learning models are trained on experimental data to predict the mechanical properties of composite materials. Results show that these techniques are reasonably accurate and generalizable.
Topics & Concepts
Composite materialMaterials scienceFiberFiber-reinforced compositeMechanical Behavior of CompositesSmart Materials for ConstructionFiber-reinforced polymer composites