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: 1 day 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 (over 13 years ago)
- Default Branch: master
- Last Pushed: 2019-11-08T16:01:54.000Z (almost 6 years ago)
- Last Synced: 2024-06-11T18:54:27.497Z (over 1 year 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.