SfePy NTC

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Introduction

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SfePy: Simple Finite Elements in Python

SfePy is a software for solving systems of coupled partial differential equations (PDEs) by the finite element method in 1D, 2D and 3D. It can be viewed both as black-box PDE solver, and as a Python package which can be used for building custom applications. The word “simple” means that complex FEM problems can be coded very easily and rapidly.

SfePy can use many terms to build the PDEs to be solved, see Term Overview. SfePy comes also with a number of examples that can get you started, check Examples and Tutorial. Some more advanced features are discussed in Primer.

SfePy can be used in parallel (work in progress), see Solving Problems in Parallel.

There is also a preliminary support for the isogeometric analysis, outlined in Isogeometric Analysis.

License: BSD

Applications

Here we list some of the applications SfePy is developed for.

  • homogenization of porous media - parallel flows in a deformable porous medium
  • acoustic band gaps, homogenization of a strongly heterogenous elastic structure: phononic materials
  • acoustic waves in thin perforated layers
  • finite element formulation of Schroedinger equation
  • flow of a two-phase non-Newtonian fluid medium in a general domain - oil expression in screw presses/extruders

Citing

If you would like to cite the SfePy package in a paper or presentation, the following can be used:

  • General use:

    • Plain text:

      R. Cimrman. SfePy - write your own FE application. In P. de Buyl and N. Varoquaux, editors, Proceedings of the 6th European Con- ference on Python in Science (EuroSciPy 2013), pages 65–70, 2014. http://arxiv.org/abs/1404.6391.

    • BibTeX:

      @InProceedings{cimrman14:_sfepy_write_your_own_fe_applic,
        author =       {Robert Cimrman},
        title =        {{SfePy} - Write Your Own {FE} Application},
        booktitle =    {Proceedings of the 6th European Conference on
                        Python in Science (EuroSciPy 2013)},
        pages =        {65--70},
        year =         2014,
        editor =       {Pierre de Buyl and Nelle Varoquaux},
        note =         {http://arxiv.org/abs/1404.6391},
      }
      
  • IGA-specific use:

    • Plain text:

      R. Cimrman. Enhancing SfePy with isogeometric analysis. In P. de Buyl and N. Varoquaux, editors, Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014), pages 65–72, 2014. http://arxiv.org/abs/1412.6407.

    • BibTeX:

      @InProceedings{cimrman14:_enhan_sfepy_isogeom_analy,
        author =       {Robert Cimrman},
        title =        {Enhancing {SfePy} with Isogeometric Analysis},
        booktitle =    {Proceedings of the 7th European Conference on
                        Python in Science (EuroSciPy 2014)},
        pages =        {65--72},
        year =         2014,
        editor =       {Pierre de Buyl and Nelle Varoquaux},
        note =         {http://arxiv.org/abs/1412.6407},
      }
      

Support

Work on SfePy is partially supported by the following ongoing projects:

  • project GA16-03823S (Homogenization and multi-scale computational modelling of flow and nonlinear interactions in porous smart structures) of Czech Science Foundation, since 2016;
  • project GAP101/12/2315 (Modelling of acoustic wave propagation in strongly heterogeneous media; multi-scale numerical and analytical approaches) of Czech Science Foundation, since 2012.

In past, work on SfePy was partially supported by the following projects:

  • project NT13326 of Ministry of Health of the Czech Republic, in 2012-2015;
  • project GAP108/11/0853 (Nanostructures with transition metals: Towards ab-initio material design) of Czech Science Foundation, in 2011-2015;
  • project MSM4977751303 (Failure prediction of heterogeneous materials, components of mechanical and biomechanical systems) of Ministry of Education, Youth and Sports of the Czech Republic, in 2005-2011;
  • project GA101/07/1471 (Finite element modelling of linear, non-linear and multiscale effects in wave propagation in solids and heterogeneous media) of Czech Science Foundation, in 2007-2011;
  • project GA106/09/0740 (Microstructure oriented hierarchical modeling of brain perfusion for CT based cerebral blood flow evaluation) of Czech Science Foundation, in 2009-2012.

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