Skip to main content

BuckPy: Lateral buckling formation algorithm

Project description

BUCKPY

Probabilistic Lateral Buckling Algorithm.

Project Philosophy

Xodus Group (hereafter referred to as Xodus) and TotalEnergies OneTech (hereafter referred to as TTE OneTech) have co-writen BuckPy.

BuckPy is an open-source algorithm that has been developed to facilitate the implementation of the probabilistic lateral buckling methodology presented in the paper published by Ismael Ripoll, Carlos Sicilia and Emilien Bonnet at the 2023 Subsea Pipeline Technology Congress in London (SPT 2023).

Xodus and TTE OneTech have decided jointly to make BuckPy available with the intend of allowing the pipeline community to review, expand and use it under a GNU General Public License v3.0.

Team Members

Team members responsible for the management of this open-source project are:

  • Ismael Ripoll, Xodus
  • Carlos Sicilia Gaillard, TTE OneTech
  • Emilien Bonnet, TTE OneTech

How to Contribute to the Project

Interested in contributing to the project? If you have a contribution in mind, please add in Discussions. If you have identified an issue with the code, please add in Issues.

Documentation

The script documentation can be found in the following folder of this repository: https://buckpy-org.github.io/

BuckPy Python Library Versions

The script has been developed and shown to run using:

  • Python 3.11
  • matplotlib==3.8.3
  • multiprocess==0.70.16
  • numba==0.59.0
  • numpy==1.26.4
  • openpyxl==3.1.5
  • pandas==2.2.1
  • scipy==1.12.0
  • xlrd==2.0.1
  • XlsxWriter==3.2.0

To install the previous Python libraries: pip install -r REQUIREMENTS.txt

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

buckpy-0.1.2.tar.gz (52.7 kB view details)

Uploaded Source

Built Distribution

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

buckpy-0.1.2-py3-none-any.whl (53.6 kB view details)

Uploaded Python 3

File details

Details for the file buckpy-0.1.2.tar.gz.

File metadata

  • Download URL: buckpy-0.1.2.tar.gz
  • Upload date:
  • Size: 52.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for buckpy-0.1.2.tar.gz
Algorithm Hash digest
SHA256 506c8fe869c007bba00f39564555046923f841fb86c6df6db894123dfc7aa654
MD5 6a7f7e3690c138f60f16ebbdb915c35b
BLAKE2b-256 926f97c6e109e437710e18673c72aa990fdfa7be43bcf3722aa9d43740540fde

See more details on using hashes here.

File details

Details for the file buckpy-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: buckpy-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 53.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.5

File hashes

Hashes for buckpy-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 76f88d87ae723ff13e11b44dfe2a20ed86c1eebc061515e74f03acd3ea876c4b
MD5 a4226ef4c89f49e58fa5ca9c26da998d
BLAKE2b-256 81fb95b183e68722748d8c80b55b6e4bcc657f14f00a622a3d19f0a374b86500

See more details on using hashes here.

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