Title:
Raw Data : An FFT-based framework for predicting corrosion-driven damage in fractal porous media

Authors:
Mohit Pundir, David S. Kammer, Ueli Angst

Date:
2023/01/20

Description:
The raw data of numerical simulations that model the corrosion-driven fracture under a multi-scale setting in the article  "An FFT-based framework for predicting corrosion-driven damage in fractal porous media".
The data generated is for different types of microstructure: Fractal, Euclidean (using pore-network algorithm)  and Euclidean with porosity preserved, and for two different porosities: 0.36 (high porosity) and 0.17 (low porosity). Please use the jupyter notebook available on a public GitLab repository (https://gitlab.ethz.ch/cmbm-public/papers-supp-info/2023/supplementary-micropore-damage-paper.git) to read and analyze the data. The code and input files that generate these raw data using spectral integral method are available on the same public GitLab repository.

Parts:
The simulations in each zip file are listed as follows.
multiscale-higher-network-same.zip : For Rves with porosity = 0.36. Fractal RVE and Euclidean RVE (from proe-network algorithm)
multiscale-higher-porosity-same.zip : For Rves with porosity = 0.36. Fractal RVE and Euclidean RVE (from proe-network algorithm + porosity preserved)
multiscale-lower-network-same.zip : For Rves with porosity = 0.17. Fractal RVE and Euclidean RVE (from proe-network algorithm)
multiscale-lower-porosity-same.zip : For Rves with porosity = 0.17. Fractal RVE and Euclidean RVE (from proe-network algorithm + porosity preserved)