Topology optimization dataset

Dataset of topology optimization problems in 50x140 2D meshes. It was used to train machine learning models to accelerate topology optimization. Each sample contains: Binary definition of supports Sparse definitions of position and components of two point loads Volume fraction Von Mises and strain energy density fields of initial FEA solution Final topology Other than the dataset, contains files related to data filtering, and checkpoints of the trained generative adversarial networks.