Litcius/Paper detail

A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning

Reza Sepasdar, Anuj Karpatne, Maryam Shakiba

2022Computer Methods in Applied Mechanics and Engineering115 citationsDOI

Topics & Concepts

Nonlinear systemStress fieldField (mathematics)Composite materialStress (linguistics)Materials scienceStructural engineeringMathematicsEngineeringFinite element methodPhysicsQuantum mechanicsLinguisticsPhilosophyPure mathematicsMechanical Behavior of CompositesStructural Health Monitoring TechniquesUltrasonics and Acoustic Wave Propagation
A data-driven approach to full-field nonlinear stress distribution and failure pattern prediction in composites using deep learning | Litcius