Open Access

Fracture toughness of mixed-mode anticracks in highly porous materials

Files

energy.py (Methods for the calculation of energy release rates.) (5.46 KB)

regression.py (Methods for the regression analyses.) (16.15 KB)

visualization.py (Methods for generating visualizations.) (23.34 KB)

df_legacy.pkl (Pickled DataFrame with literature data.) (62.02 KB)

df_mmft.pkl (Pickled DataFrame with experimental data gathered in the present work.) (36.21 KB)

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Date

2024-06-03

Type

Dataset
Software

Authors

Adam, Valentin
Bergfeld, Bastian
Weißgraeber, Philipp
van Herwijnen, Alec
Rosendahl, Philipp Laurens

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.