Machine learning based framework for rapid forecasting of the crack propagation

This publication has 51 references indexed in Scilit:

• Deep learning phase‐field model for brittle fractures
  International Journal for Numerical Methods in Engineering, 2022
• Phase-Field Modelling of Brittle Fracture Using Time-Series Forecasting
  2022
• End-to-end prediction of multimaterial stress fields and fracture patterns using cycle-consistent adversarial and transformer neural networks
  Biomedical Engineering Advances, 2022
• Extraction of reduced-order process-structure linkages from phase-field simulations
  Acta Materialia, 2017
• Linear and nonlinear solvers for variational phase-field models of brittle fracture
  International Journal for Numerical Methods in Engineering, 2016
• Phase-field models for brittle and cohesive fracture
  Meccanica, 2014
• A phase field model for rate-independent crack propagation: Robust algorithmic implementation based on operator splits
  Computer Methods in Applied Mechanics and Engineering, 2010
• Thermodynamically consistent phase‐field models of fracture: Variational principles and multi‐field FE implementations
  International Journal for Numerical Methods in Engineering, 2010
• A singular edge-based smoothed finite element method (ES-FEM) for bimaterial interface cracks
  Computational Mechanics, 2009
• Elastic crack growth in finite elements with minimal remeshing
  International Journal for Numerical Methods in Engineering, 1999