CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.
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Updated
Apr 28, 2023 - Python
CalculiX examples by Prof. Martin Kraska from Brandenburg University of Applied Sciences. Excellent starting point to master parametric modelling with CGX and CCX.
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Simple implementation of finite element method
Code TMA4900 Industrial Mathematics, Master’s Thesis
Code for building a reduced-order model for the linear elasticity equation on a square in 2D for my specialization Project at NTNU.
(partial, unofficial) JAX-implementation for "Physics-informed Neural Networks for shell structures".
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