Welcome to the documentation of GRFsaw!¶
GRFsaw is a Python code for artificially constructing bicontinuous microstructures (in two or three spatial dimensions) with user-defined
porosity (solid volume fraction)
heterogeinity (“grain” size distribution)
anisotropy (preferred “grain” elongation)
It is based on thresholding Gaussian random fields (GRFs).
Several post-processing schemes are available for
computing the angular-averaged two-point correlation function using Fast Fourier Transforms
computing the one-dimensional two-point correlation function in different directions
finding the spanning (percolating) cluster(s) using the Burning Method
finding the shortest path through the structure
plotting and visualizing in 2D and 3D
saving structures as CSV- or VTK-files
For it’s usage and dependencies, please see the README.md file.
For the mathematical background, please see the paper.pdf file in the paper directory.
GRFsaw is licensed under the MIT License.