# Meshes

## Overview

Meshes can be constructed directly (e.g. `CartesianGrid`

) or based on other constructs such as connectivity lists and topological structures (e.g. `SimpleMesh`

).

`Meshes.Mesh`

— Type`Mesh{Dim,T}`

A mesh embedded in a `Dim`

-dimensional space with coordinates of type `T`

.

`Meshes.CartesianGrid`

— Type`CartesianGrid(dims, origin, spacing)`

A Cartesian grid with dimensions `dims`

, lower left corner at `origin`

and cell spacing `spacing`

. The three arguments must have the same length.

`CartesianGrid(start, finish, dims=dims)`

Alternatively, construct a Cartesian grid from a `start`

point (lower left) to a `finish`

point (upper right).

```
CartesianGrid(dims)
CartesianGrid(dim1, dim2, ...)
```

Finally, a Cartesian grid can be constructed by only passing the dimensions `dims`

as a tuple, or by passing each dimension `dim1`

, `dim2`

, ... separately. In this case, the origin and spacing default to (0,0,...) and (1,1,...).

**Examples**

Create a 3D grid with 100x100x50 locations:

`julia> CartesianGrid(100,100,50)`

Create a 2D grid with 100x100 locations and origin at (10.,20.) units:

`julia> CartesianGrid((100,100),(10.,20.),(1.,1.))`

Create a 1D grid from -1 to 1 with 100 locations:

`julia> CartesianGrid((-1.,),(1.,), dims=(100,))`

`Meshes.SimpleMesh`

— Type`SimpleMesh(points, connec)`

A simple mesh with `points`

and connectivities `connec`

. The i-th face of the mesh is lazily built based on the connectivity list `connec[i]`

.

### Connectivities

`Meshes.Connectivity`

— Type`Connectivity{PL,N}`

A connectivity list of `N`

indices representing a `Polytope`

of type `PL`

. Indices are taken from a global vector of `Point`

.

Connectivity objects are constructed with the `connect`

function.

`Meshes.connect`

— Function`connect(indices, PL)`

Connect a list of `indices`

from a global vector of `Point`

into a `Polytope`

of type `PL`

.

**Example**

`Δ = connect((1,2,3), Triangle)`

`Meshes.materialize`

— Function`materialize(connec, points)`

Materialize a face using the `connec`

list and a global vector of `points`

.

### Topological structures

`Meshes.TopologicalStructure`

— Type`TopologicalStructure`

A data structure for constructing topological relations in a `Mesh`

.

**References**

- Floriani, L. & Hui, A. 2007. Shape representations based on simplicial and cell complexes

`Meshes.FullStructure`

— Type`FullStructure(connectivities)`

A data structure that stores *all* `connectivities`

of a mesh.

**Notes**

This data structure is sometimes referred to as the "soup of geometries". It does *not* support topological relations and is therefore incompatible with algorithms that rely on neighborhood search. It is still useful for mesh visualization and IO operations.

`Meshes.HalfEdgeStructure`

— Type`HalfEdgeStructure(halfedges, edgeonelem, edgeonvertex)`

A data structure for orientable 2-manifolds based on half-edges.

Two types of half-edges exist (Kettner 1999). This implementation is the most common type that splits the incident elements.

A vector of `halfedges`

together with a vector of `edgeonelem`

and a vector of `edgeonvertex`

can be used to retrieve topolological relations in optimal time. In this case, `edgeonvertex[i]`

returns the index of the half-edge in `halfedges`

with head equal to `i`

. Similarly, `edgeonelem[i]`

returns the index of a half-edge in `halfedges`

that is in the elem `i`

.

Such data structure is usually constructed from another data structure such as `ElementListStructure`

via `convert`

methods:

`he = convert(HalfEdgeStructure, structure)`

See also `TopologicalStructure`

.

**References**

- Kettner, L. (1999). Using generic programming for designing a data structure for polyhedral surfaces

## Examples

```
using Meshes
# 3D Cartesian grid
grid = CartesianGrid(10, 10, 10)
```

10×10×10 CartesianGrid{3,Float64} minimum: Point(0.0, 0.0, 0.0) maximum: Point(10.0, 10.0, 10.0) spacing: (1.0, 1.0, 1.0)

```
using Plots
plot(grid)
```

```
# global vector of 2D points
points = Point2[(0,0),(1,0),(0,1),(1,1),(0.25,0.5),(0.75,0.5)]
# connect the points into N-gon
connec = connect.([(1,2,6,5),(2,4,6),(4,3,5,6),(3,1,5)], Ngon)
```

4-element Vector{Connectivity}: Quadrangle(1, 2, 6, 5) Triangle(2, 4, 6) Quadrangle(4, 3, 5, 6) Triangle(3, 1, 5)

```
# 2D mesh made of N-gon elements
mesh = SimpleMesh(points, connec)
```

4 SimpleMesh{2,Float64} 6 vertices └─Point(0.0, 0.0) └─Point(1.0, 0.0) └─Point(0.0, 1.0) └─Point(1.0, 1.0) └─Point(0.25, 0.5) └─Point(0.75, 0.5) 4 elements └─Quadrangle(1, 2, 6, 5) └─Triangle(2, 4, 6) └─Quadrangle(4, 3, 5, 6) └─Triangle(3, 1, 5)

`plot(mesh)`