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meshzoo

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When generating meshes for FEM/FVM computations, sometimes your geometry is so simple that you don't need a complex mesh generator (like pygmsh, MeshPy, mshr, pygalmesh, dmsh), but something simple and fast that makes use of the structure of the domain. Enter meshzoo.

Installation

Install meshzoo from PyPI with

pip install meshzoo

How to get a license

Licenses for personal and academic use can be purchased here. You'll receive a confirmation email with a license key. Install the key with

plm add <your-license-key>

on your machine and you're good to go.

For commercial use, please contact [email protected].

Examples

Triangle

Image

import meshzoo

bary, cells = meshzoo.triangle(8)

# corners = np.array(
#     [
#         [0.0, -0.5 * numpy.sqrt(3.0), +0.5 * numpy.sqrt(3.0)],
#         [1.0, -0.5, -0.5],
#     ]
# )
# points = np.dot(corners, bary).T

# Process the mesh, e.g., write it to a file using meshio
# meshio.write_points_cells("triangle.vtk", points, {"triangle": cells})

Rectangle

Image Image
import meshzoo
import numpy as np

points, cells = meshzoo.rectangle_tri(
    np.linspace(0.0, 1.0, 11),
    np.linspace(0.0, 1.0, 11),
    variant="zigzag",  # or "up", "down", "center"
)

points, cells = meshzoo.rectangle_quad(
    np.linspace(0.0, 1.0, 11),
    np.linspace(0.0, 1.0, 11),
    cell_type="quad4",  # or "quad8", "quad9"
)

Regular polygon

Image Image Image
meshzoo.ngon(4, 8) meshzoo.ngon(6, 8) meshzoo.ngon(9, 8)
import meshzoo

points, cells = meshzoo.ngon(5, 11)

Disk

Image Image Image
meshzoo.disk(4, 8) meshzoo.disk(6, 8) meshzoo.disk(9, 8)

The disk meshes are inflations of regular polygons.

import meshzoo

points, cells = meshzoo.disk(6, 11)

points, cells = meshzoo.disk_quad(10, cell_type="quad4")  # or "quad8", "quad9"

Möbius strip

Image

import meshzoo

points, cells = meshzoo.moebius(num_twists=1, nl=60, nw=11)

Sphere (surface)

Image Image
import meshzoo

points, cells = meshzoo.uv_sphere(num_points_per_circle=20, num_circles=10, radius=1.0)
points, tri, quad = meshzoo.geo_sphere(
    num_points_per_circle=20, num_circles=10, radius=1.0
)

Spheres can also be generated by refining the faces of platonic solids and then "inflating" them. meshzoo implements a few of them. The sphere generated from the icosahedron has the highest-quality (most equilateral) triangles.

All cells are oriented such that its normals point outwards.

Image Image Image
meshzoo.tetra_sphere(10) meshzoo.octa_sphere(10) meshzoo.icosa_sphere(10)

Ball (solid)

Image Image
import meshzoo

points, cells = meshzoo.ball_tetra(10)
points, cells = meshzoo.ball_hexa(10)

Tube

Image

import meshzoo

points, cells = meshzoo.tube(length=1.0, radius=1.0, n=30)

Cube

Image Image
import meshzoo
import numpy as np

points, cells = meshzoo.cube_tetra(
    np.linspace(0.0, 1.0, 11), np.linspace(0.0, 1.0, 11), np.linspace(0.0, 1.0, 11)
)
points, cells = meshzoo.cube_hexa(
    np.linspace(0.0, 1.0, 11), np.linspace(0.0, 1.0, 11), np.linspace(0.0, 1.0, 11)
)

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A collection of meshes for canonical domains

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