sclaus2 / CutCells

Library to compute intersections between mesh cells and implicit functions

CutCells

a library to compute intersections between mesh cells and implicit (level set) functions using marching cubes/tetrahedra algorithms. The current version supports intervals, triangles and tetrahedra. Future versions will include quadrilaterals, hexahedra, pyramids and prisms. This library is used as a basis for the computation of integrals in immersed boundary methods/cut finite element methods.

The images below show a cut through a vtk mesh using pyvista and CutCells. The corresponding demonstration code is located in python/demo/cut_vtk_mesh.

Installation

To install the CutCells library, first install the C++ library and then build the python interface

C++ library

In the cpp/ directory:

cmake -DCMAKE_BUILD_TYPE=Release -B build-dir -S .
cmake --build build-dir
cmake --install build-dir

You may need to use sudo for the final install step. Using the CMake build type Release is recommended for performance.

Python interface

After installing the C++ library, install the Python interface by running in the directory python/:

cmake -DCMAKE_BUILD_TYPE=Release -B build-dir -S .
cmake --build build-dir
cmake --install build-dir

and then

python3 -m pip install .

Running demons

There are demons for both the C++ and the python interface. For the C++ interface the demos are located in cpp/demo. The C++ demos are built with

cmake -DCMAKE_BUILD_TYPE=Release -B build-dir -S .
cmake --build build-dir
cmake --install build-dir

in the corresponding demo folder, e.g. cpp/demo/cut_triangle

The python demos are located in python/demo.

Dependencies

CutCells requires a C++20 compiler and depends on the C++ standard template library. For the python interface, CutCells requires nanobind.

At runtime for the python examples, CutCells requires numpy and pyvista for visualizations.

The library contains python pytest tests in python/tests.