The python bindings are in beta. Expect API changes and possible bugs. Use at your own peril!
I am making efforts to provide a simple python interface to Polyfem.
For doing so I am maintaining a conda package which can be easily installed https://anaconda.org/conda-forge/polyfempy.
Note that the conda deployment is slow and this tutorial will follow the deployment version.
If you hare in a hurry for the juicy latest feature you can clone the repository Polyfem-python and use
pip to install:
python setup.py develop
python setup.py test
Note that the folders tests contain some tests which can be used as documentation.
The documentation can be found here.
Polyfem relies on 3 main objects:
Settingsthat contains the main settings such discretization order (e.g., P_1 or P_2), material parameters, formulation, etc.
Problemthat describe the problem you want to solve, that is the boundary conditions and right-hand side. There are some predefined problems, such as
DrivenCavity, or generic problems, such as
Solverthat is the actual FEM solver.
The usage of specific problems is indented for benchmarking, in general you want to use the
GenericTensor for tensor-based PDEs (e.g., elasticity) or
GenericScalar for scalar PDEs (e.g., Poisson).
A typical use of Polyfem is:
settings = polyfempy.Settings() # set necessary settings # e.g. settings.discr_order = 2 problem = polyfempy.GenericTensor() # or any other problem # set problem related data # e.g. problem.set_displacement(1, [0, 0], [True, False]) settings.set_problem(problem) #now we can create a solver and solve solver = polyfempy.Solver() solver.settings(settings) solver.load_mesh_from_path(mesh_path) solver.solve()
Note 1: for legacy reasons Polyfem always normalizes the mesh (i.e., rescale it to lay in the [0,1]^d box, you can use
setting.normalize_mesh = False to disable this feature.
Note 2: the solution u(x) of a FEM solver are the coefficients u_i you need to multiply the bases \varphi_i(x) with: $$ u(x)=\sum u_i \varphi_i(x). $$ The coefficients u_i are unrelated with the mesh vertices because of reordering of the nodes or high-order bases. For instance P_2 bases have additional nodes on the edges which do not exist in the mesh.
For this reason Polyfem uses a visualization mesh where the solution is sampled at the vertices. This mesh has two advantages: 1. it solves the problem of nodes reordering and additional nodes in the same way 2. it provides a “true” visualization for high order solution by densely sampling each element (a P_2 solution is a piecewise quadratic function which is visualized in a picewise linear fashion, thus the need of a dense element sampling).
To control the resolution of the visualization mesh use
For more details and nice interactive example go to the notebook tutorial!