Fracture toughness of mixed-mode anticracks in highly porous materials

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energy.py (Methods for the calculation of energy release rates.) (5.460KB)
regression.py (Methods for the regression analyses.) (16.15KB)
visualization.py (Methods for generating visualizations.) (23.33KB)
df_legacy.pkl (Pickled DataFrame with literature data.) (62.02KB)
df_mmft.pkl (Pickled DataFrame with experimental data gathered in the present work.) (36.20KB)
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Description

This repository contains the code and datasets used in the data analysis for "Fracture toughness of mixed-mode anticracks in highly porous materials". The data is provided as pickled Pandas DataFrames. The analysis is implemented in Python, using Jupyter Notebooks.
 
 

Subject

Anticrack;Fracture;Snow;Avalanche;Weak layer;Mixed-mode loading

DFG subject classification

3.46-01 Hydrogeologie, Hydrologie, Limnologie, Siedlungswasserwirtschaft, Wasserchemie, Integrierte Wasserressourcen-Bewirtschaftung
4.12-02 Mechanik
4.51-05 Angewandte Mechanik, Statik und Dynamik

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Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0