Calculating the intersection or overlapping volume of a sphere and one of the typically used mesh elements such as a tetrahedron or hexahedron is surprisingly challenging. This header-only library implements a numerically robust method to determine this volume.
The mathematical expressions and algorithms used in this code are described in S. Strobl et al.: Exact calculation of the overlap volume of spheres and mesh elements, Journal of Computational Physics, 2016. So if you use the code in projects resulting in any publications, please cite this paper.
Employing the concepts and routines used for the calculation of the overlap volume, the intersection or overlap area of a sphere and the facets of a mesh element can also be calculated with this library.
The overlap calculation directly supports these element types:
- tetrahedra (4 nodes/vertices, data type
Tetrahedron) - pentahedra/wedges/triangular prisms (6 nodes/vertices, data type
Wedge) - hexahedra (8 nodes/vertices, data type
Hexahedron)
The elements must be convex and have to be specified as a list of three-dimensional nodes/vertices,
while the sphere (data type Sphere) requires a center point and the radius.
The element types of the overlap library follow the node numbering conventions of the CFD General Notation System (CGNS) project. Please refer to the CGNS documentation for the order of the nodes of hexahedral, tetrahedral, and pentahedral/wedge-shaped elements of linear order, respectively. Also the ordering of the faces uses the conventions of CGNS. This should make interfacing this library with existing codes rather easy, often even without the need to reorder nodes.
The compile-time dependencies of this code are:
- Eigen3, tested with versions 3.3.4 and 3.4.0
- compiler supporting C++17
The software is currently continuously compiled and tested with the following compilers on both x86-64 and ARM64:
| Compiler | Versions |
|---|---|
| GNU G++ | 14.0.1, 13.2.0, 12.3.0, 11.4.0, 10.5.0, 9.5.0 |
| Clang/LLVM | 18.1.3, 17.0.6, 16.0.6, 15.0.7, 14.0.0, 13.0.1, 12.0.1, 11.1.0 |
Additionally, the Intel C++ compiler starting with version 19.0 should work, albeit this configuration is not part of the CI process. All the newer LLVM-based oneAPI compilers are expected to work.
The library is implemented as a header-only library written in C++17. To use it
in your code, simply include the header file include/overlap/overlap.hpp and
make sure the Eigen3 headers can be found by your compiler or build system.
The library exposes two relevant type aliases, namely Scalar for double and
Vector for Eigen::Matrix<Scalar, 3, 1, Eigen::DontAlign>, which are used in
the public interface for scalar and vectorial quantities, respectively. In
principle, these types can be adjusted to specific needs, yet reducing the
numerical precision of the scalar floating point type will have a significant
impact on the precision and stability of the calculations.
A minimal example calculating the overlap volume of a hexahedron with a side length of 2 centered at the origin and a sphere with radius 1 centered at a corner of the hexahedron could look something like this:
using namespace overlap;
const auto vertices = std::array<Vector, 8>{{
{-1, -1, -1},
{ 1, -1, -1},
{ 1, 1, -1},
{-1, 1, -1},
{-1, -1, 1},
{ 1, -1, 1},
{ 1, 1, 1},
{-1, 1, 1}
}};
const auto hex = Hexahedron{vertices};
const auto sphere = Sphere{Vector::Constant(1), 1};
const auto volume = overlap_volume(sphere, hex);This code snippet calculates the correct result (π/6) for this simple configuration.
To obtain the overlap area of a sphere and the facets of a tetrahedron, the
function overlap_area() can be employed as such:
using namespace overlap;
const auto vertices = std::array<Vector, 4>{{
{-std::sqrt(3) / 6.0, -1.0 / 2.0, 0},
{ std::sqrt(3) / 3.0, 0.0, 0},
{-std::sqrt(3) / 6.0, 1.0 / 2.0, 0},
{0, 0, std::sqrt(6) / 3.0},
}};
const auto tet = Tetrahedron{vertices};
const auto sphere = Sphere{{0, 0, 1.5}, 1.25};
const auto result = overlap_area(sphere, tet);
std::cout << "surface area of sphere intersecting tetrahedron: " <<
result.front() << "\n";
std::cout << "overlap areas per face:\n";
for(auto face_idx = 0u; face_idx < tet.faces.size(); ++face_idx) {
std::cout << " face #" << face_idx << ": " <<
// the indices of the faces are NOT zero-based here!
result[face_idx + 1] << "\n";
}
std::cout << "total surface area of tetrahedron intersecting sphere: " <<
result.back() << "\n";The Python version of the overlap library is available via the Python
Package Index (PyPI), so for most
environments installation should be possible simply via pip install overlap.
In case no pre-built package or wheel is available for your system, compilation of the wrapper code is required which in turn requires the requirements listed above for the C++ version to be fulfilled.
The interface of Python version closely resembles the interface of the C++ version:
import numpy as np
import overlap
vertices = np.array(
(
(-1, -np.sqrt(1.0 / 3.0), -np.sqrt(1.0 / 6.0)),
(1, -np.sqrt(1.0 / 3.0), -np.sqrt(1.0 / 6.0)),
(0, np.sqrt(4.0 / 3.0), -np.sqrt(1.0 / 6.0)),
(0, 0, np.sqrt(3.0 / 2.0)),
)
)
tet = overlap.Tetrahedron(vertices)
sphere = overlap.Sphere((0, 0, 0.5), 1)
result = overlap.overlap_volume(sphere, tet)Calculation of the overlap area instead of the overlap volume is possible via
the function overlap_area() of the package.
The overlap library is distributed under the MIT license, please refer to the
LICENSE file for the full license text.
This distribution uses external third-party software covered by separate license terms. For details, please consult the corresponding license terms of the respective package.
| Package | License |
|---|---|
| Eigen | MPL2 |
| pybind11 | 3-clause BSD |
| doctest | MIT |
| nanobench | MIT |