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Open Sustainable Technology

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MoorDyn

A lumped-mass mooring line model intended for coupling with floating structure codes.
https://github.com/floatingarraydesign/moordyn

Category: Renewable Energy
Sub Category: Wind Energy

Last synced: about 20 hours ago
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Repository metadata

a lumped-mass mooring line model intended for coupling with floating structure codes

README.md

MoorDyn v2

This repository is for MoorDyn-C.

MoorDyn is a lumped-mass model for simulating the dynamics of mooring systems connected to floating offshore structures. As of 2022 it is available under the BSD 3-Clause
license.

Read the docs here: moordyn.readthedocs.io

It accounts for internal axial stiffness and damping forces, weight and buoyancy forces, hydrodynamic forces from Morison's equation (assuming calm water so far), and vertical spring-damper forces from contact with the seabed. MoorDyn's input file format is based on that of MAP. The model supports arbitrary line interconnections, clump weights and floats, different line properties, and six degree of freedom rods and bodies.

MoorDyn is implemented both in Fortran and in C++. The Fortran version of MoorDyn (MoorDyn-F) is a core module in OpenFAST and can be used as part of an OpenFAST or FAST.Farm simulation, or used in a standalone form. The C++ version of MoorDyn (MoorDyn-C) is more adaptable to different use cases and couplings. It can be compiled as a dynamically-linked library or wrapped for use in Python (as a module), Fortran, or Matlab. It features simpler functions for easy coupling with models or scripts coded in C/C++, Fortran, Matlab/Simulink, etc., including a coupling with WEC-Sim. Users should take care to ensure their input file format matches the respective version of MoorDyn they are trying to use. Details on the input file differences can be found in the documentation.

Both forms of MoorDyn feature the same underlying mooring model, use the same input and output conventions, and are being updated and improved in parallel. They follow the same version numbering, with a "C" or "F" suffix for differentiation.

Further information on MoorDyn can be found on the documentation site. MoorDyn-F is available in the OpenFAST repository. MoorDyn-C is available in this repository with the following three maintained branches. The master branch represents the most recent release of
MoorDyn-C. The dev branch contains new features currently in development. The v1 branch is the now deprecated version one of MoorDyn-C.

Acknowledgments

National Renewable Energy Laboratory (NREL):

  • Matt Hall
  • Ryan Davies
  • Andy Platt
  • Stein Housner
  • Lu Wang
  • Jason Jonkman

CoreMarine [MoorDyn-C v2]:

  • Jose Luis Cercos-Pita
  • Aymeric Devulder
  • Elena Gridasova

Kelson Marine [MoorDyn-C v2]:

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Last synced: 2 days ago

Total issues: 115
Total pull requests: 189
Average time to close issues: 3 months
Average time to close pull requests: 19 days
Total issue authors: 52
Total pull request authors: 7
Average comments per issue: 4.97
Average comments per pull request: 2.08
Merged pull request: 144
Bot issues: 0
Bot pull requests: 38

Past year issues: 37
Past year pull requests: 60
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 7 days
Past year issue authors: 16
Past year pull request authors: 5
Past year average comments per issue: 5.73
Past year average comments per pull request: 2.27
Past year merged pull request: 56
Past year bot issues: 0
Past year bot pull requests: 13

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Package metadata

pypi.org: moordyn

Python wrapper for MoorDyn library

  • Homepage: https://github.com/FloatingArrayDesign/MoorDyn
  • Documentation: https://moordyn.readthedocs.io
  • Licenses: BSD License
  • Latest release: 2.4.0 (published about 1 month ago)
  • Last Synced: 2025-04-28T00:02:25.065Z (2 days ago)
  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 10,898 Last month
  • Rankings:
    • Dependent packages count: 6.633%
    • Forks count: 7.613%
    • Downloads: 8.087%
    • Stargazers count: 10.503%
    • Average: 12.689%
    • Dependent repos count: 30.611%
  • Maintainers (2)

Dependencies

docs/requirements.txt pypi
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