https://github.com/szaghi/off

OFF, Open source Finite volume Fluid dynamics code
https://github.com/szaghi/off

cfd finite-volume fluid-dynamics fortran gas-dynamics hpc hydrodynamics oop riemann-solvers

Last synced: 3 days ago
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OFF, Open source Finite volume Fluid dynamics code

• Host: GitHub
• URL: https://github.com/szaghi/off
• Owner: szaghi
• Created: 2012-05-04T12:31:28.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2019-11-08T16:01:54.000Z (over 5 years ago)
• Last Synced: 2024-06-11T18:54:27.497Z (8 months ago)
• Topics: cfd, finite-volume, fluid-dynamics, fortran, gas-dynamics, hpc, hydrodynamics, oop, riemann-solvers
• Language: Fortran
• Size: 43.9 MB
• Stars: 127
• Watchers: 35
• Forks: 59
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.gpl3.md

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README

        
# OFF

OFF, Open source Finite volumes Fluid dynamics code [see documentation](http://szaghi.github.com/OFF/index.html).

It is written in in standard (compliant) Fortran 2003 with highly modularity as design target.

The aim of _OFF_ is to solve, numerically, the Navier-Stokes equations of fluid dynamics by means of Finite Volume technique.

###### Citing

Please kindly cite OFF in your publications if it helps your research:

~~~

@article{zaghi-2014,

  author  = {S. Zaghi},

  title   = {{OFF, Open source Finite volume Fluid dynamics code: A free, high-order solver based on parallel, modular, object-oriented Fortran API}},

  journal = {Computer Physics Communications },

  volume  = {},

  number  = {0},

  pages   = { - },

  year    = {2014},

  issn    = {0010-4655},

  doi     = {http://dx.doi.org/10.1016/j.cpc.2014.04.005},

  url     = {http://www.sciencedirect.com/science/article/pii/S0010465514001283},

}

~~~

The main features of _OFF_ code are the following:

* Finite Volume, Godunov-like scheme based on Euler conservation Laws written in fully conservative formulation:

    - the extension to viscous Navier-Stokes equations is under developing;

* Underling Riemann Problem solver for convective fluxes:

    - Approximate Riemann solver based on (local) Lax-Friedrichs (known also as Rusanov) algorithm;

    - Approximate Riemann solver based on Primitive Variables Linearization algorithm;

    - Approximate Riemann solver based on Two Rarefactions algorithm;

    - Approximate Riemann solver based on Two Shocks algorithm;

    - Approximate Riemann solver based on Adaptive (non iterative) PVL-TR-TS algorithm;

    - Approximate Riemann solver based on Adaptive (non iterative) LF-TR algorithm;

    - Approximate Riemann solver based on HLLC algorithm;

    - Approximate Riemann solver based on Roe linearization.

    - Exact Riemann solver based on iterative solution of u-function;

* Multi-Species fluids models:

    - Partial Densities species conservation (Standard Thermodynamic Model);

    - New multi-dimensional conservation models of Favini, B. et al (under developing);

* Multi-Phases fluids models:

    - Fully-coupled Lagrangian particles transport model (under developing);

* Space numerical integration models:

    - 1-st order piece-wise constant reconstruction;

    - 2-nd order TVD linear-wise reconstruction;

    - 3-rd,5-th,7-th orders WENO non-linear reconstruction;

* Time approximation models:

    - 1-st order forward Euler integration;

    - 2-nd,3-rd,4-th orders Strong-Stability-Preserving explicit Runge-Kutta integration;

* Local pseudo-time convergence acceleration for steady simulations;

* Multi-grid time convergence acceleration:

    - Multi-grid model has been already developed, but it is affected by some not still recognized bugs. Testing and bugs fixing

      are in progress.

* Underling numerical grid models:

    - 3D, general curvilinear, body-fitted, structured multi-blocks mesh;

    - Adaptive Mesh Refinement, AMR model (under developing);

    - Blocks overlapping, overset (Chimera) model (to be developed in future);

* Computational parallelism ability:

    - Domain decomposition by means of Message Passing Interface (MPI) paradigm providing the ability to use distributed-memory

      cluster facilities;

    - Fine, local parallelism by means of OpenMP paradigm providing the ability to use shared-memory cluster facilities;

    - Fine, local parallelism by means of GPU programming (e.g. CUDA framework) providing the ability to use GPUs cluster

      facilities (to be developed in future).

## Copyrights

OFF is an open source project, it is distributed under the [GPL v3](http://www.gnu.org/licenses/gpl-3.0.html). Anyone is interest to use, to develop or to contribute to OFF is welcome. Take a look at the [contributing guidelines](CONTRIBUTING.md) for starting to contribute to the project.

## Documentation

Detailed documentation can be found on the [GitHub pages](http://szaghi.github.com/OFF/index.html) of the project.