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girdap provides building blocks for numerical simulations of complex transport equations. Tools are built around a grid management platform connected to finite volume method based differential operators. girdap’s primary goals are (1) flexibility and (2) accuracy.
Flexible tools allow researchers to develop new numerical algorithms and educators to teach students existing algorithms. Tools provided aim to shift programming focus more on physics and numerical method to avoid time consuming programming details.
The accuracy is handled by automated grid refinement and coarsening based on the solution field.
girdap does not target audiences who would like to get immediate results for an engineering project. It involves a numerical algorithm development phase. Those who would like to skip such a development can refer to a commercial CFD/multiphysics software.
girdap is not an acronym. It means whirlpool in Turkish.
Time derivative, divergence, gradient, Laplacian, and source terms can be defined for a differential equation.
You can retrieve the source code (written in c++ following c++11 standards) at github. You can see examples of main_*.cpp files under src directory so that you can compile and use it in the way you like. Use the script provided in the main directory to compile. Note that our focus is mainly on the development of girdap’s skeleton rather than its transportability so you may experience problems while compiling your first application. This is of course going to change with its first release.