Skip to main content

An analytic element model for discrete fracture networks

Project description

AnDFN, Analytical Discrete Fracture Network

Introduction

AnDFN is a computer program for the modelling of groundwater flow in a discrete fracture network (DFN). The program is based on the Analytic Element Method (AEM) and is distributed as a Python package with various modules and scripts.

The documentation for AnDFN is available here.

Installation

AnDFN can be installed from PyPi.

Installation:

pip install andfn

Update:

pip install andfn --upgrade

Uninstall

pip uninstall andfn

Dependencies

andfn has the following required dependencies:

  • numpy
  • pandas
  • scipy
  • pyvista
  • numba
  • h5py

and the following optional dependencies:

  • pyyaml (for using the YAML configuration file)
  • matplotlib (for some optional plots)

Functionality

AnDFN currently have the following functionality:

  • Generate random DFN
  • Compute the intersections of a DFN
  • Solve the AEM model for a DFN
  • Plot the flow net for the AEM model
  • Import DFNs
  • Load and save DFNs

Getting started

A template for a simple AnDFN model and several examples are available in the examples folder (under development).

Citation

The basic theory for this program is published in:

Otto D.L. Strack, Erik A.L. Toller, An analytic element model for flow in fractured impermeable rock, Journal of Hydrology, 2024, 131983, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2024.131983.

Acknowledgements

The original development of this code was funded by BeFo (Stiftelsen Bergteknisk Forskning) grant number 529.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

andfn-0.1.10.tar.gz (67.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

andfn-0.1.10-py3-none-any.whl (80.0 kB view details)

Uploaded Python 3

File details

Details for the file andfn-0.1.10.tar.gz.

File metadata

  • Download URL: andfn-0.1.10.tar.gz
  • Upload date:
  • Size: 67.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for andfn-0.1.10.tar.gz
Algorithm Hash digest
SHA256 5ac92b076f8b4310dfdebd5e3e7a54e6cf15e22aece91451de9c441d69454a93
MD5 7812e06ff3270a037b1c20a03615d9df
BLAKE2b-256 105c9f99fbd036423d7cf9c8dbacb1abcc53842a129a30ecb504812ccf6a0acc

See more details on using hashes here.

Provenance

The following attestation bundles were made for andfn-0.1.10.tar.gz:

Publisher: publish_and_release.yml on eriktoller/andfn

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file andfn-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: andfn-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 80.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for andfn-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 e79f36c089fb3fbc6af89c51a1f42824931a858a33f98fbcdbaf6ba676d4586f
MD5 0e38a7af156949fe732063e1f966fe05
BLAKE2b-256 b0cdbaf33ccb8fdd461269655ed1da6e9f86b00b9003fdc81d5a905b7235b443

See more details on using hashes here.

Provenance

The following attestation bundles were made for andfn-0.1.10-py3-none-any.whl:

Publisher: publish_and_release.yml on eriktoller/andfn

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page