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Overview

FracAbility is a Python toolbox that can be used to analyse fracture networks and estimate length distributions considering and correcting the effect of right-censoring using survival analysis.

These are the main features available :

• Shapefile importing support

• Topological analysis and identification of I,Y,X and U nodes

• Backbone identification

• Statistical analysis tools:

  • Empirical CDF and SF calculation

  • Distribution fitting with survival analysis

  • Model selection methods

• Plotting tools:

  • Network objects plotting using matplotlib or vtk

  • Ternary node plot

  • Probability Integral Transform plots

The name FracAbility recalls the reliability library that inspired and helped in the creation of this project.

Documentation contents

1. Quickstart & Introduction

• Quickstart for FracAbility

• Introduction and scope of the FracAbility library

2. Theory and recommended resources

• Theory
  • 1. Fracture networks
  • 2. Topology
  • 3. Statistical parametrization
  • 4. Recommended resources
  • 5. Glossary

3. Tutorials

• Tutorials
  • Basic tutorials
  • Advanced tutorials

4. API

• API Reference
  • Entities
  • Statistic Operations

Library status information

Deployment
GitHub
Citation
License

Authors

This library and its contents was written and curated with love and care by:

• Gabriele Benedetti (gabri.benedetti@gmail.com)

• Stefano Casiraghi (s.casiraghi21@campus.unimib.it)

• Daniela Bertacchi (daniela.bertacchi@unimib.it)

• Andrea Bistacchi (andrea.bistacchi@unimib.it)