Motivated by digital twin advancement, simulation techniques bridge diverse scales. Multi-scale FE2 simulations link microstructural properties to macroscopic behavior, and material failure is approached through phase field fracture mechanics.
To manage the computational demands, machine learning replaces FEM on the microscopic scale. The framework is applied to Diabon, a graphite-phenolic resin composite.
