# Mesh parametrization¶

## Introduction¶

When dealing with shape optimization we usually need to modify a FE mesh using a few optimization parameters describing the mesh geometry. The B-spline parametrization offers an efficient way to do that. A mesh region (2D or 3D) that is to be parametrized is enclosed in the so called spline-box and the positions of all vertices inside the box can be changed by moving the control points of the B-spline curves.

There are two different classes for the B-spline parametrization implemented in
*SfePy* (module `sfepy.mesh.splinebox`

): `SplineBox`

and
`SplineRegion2D`

. The first one defines a rectangular parametrization box in
2D or 3D while the second one allows to set up an arbitrary shaped region of
parametrization in 2D.

## SplineBox¶

The rectangular B-spline parametrization is created as follows:

```
1from sfepy.mesh.splinebox import SplineBox
2
3spb = SplineBox(<bbox>, <coors>, <nsg>)
```

the first parameter defines the range of the box in each dimension, the second parameter is the array of coordinates (vertices) to be parametrized and the last one (optional) determines the number of control points in each dimension. The number of the control points () is calculated as:

(1)¶

where is the degree of the B-spline curve (default value: 3 = cubic spline) and is the number of the spline segments (default value: [1,1(,1)] = 4 control points for all dimensions).

The position of the vertices can be modified by moving the control points:

```
spb.move_control_point(<cpoint>, <val>)
```

where <cpoint> is the index or position of the control point, for explanation see the following figure.

The displacement is given by <val>. The modified coordinates of the vertices are evaluated by:

```
new_coors = spb.evaluate()
```

### Example¶

Create a new 2D

`SplineBox`

with the left bottom corner at [-1,-1] and the right top corner at [1, 0.6] which has 5 control points in*x*-direction and 4 control points in*y*-direction:1from sfepy.mesh.splinebox import SplineBox 2from sfepy.discrete.fem import Mesh 3 4mesh = Mesh.from_file('meshes/2d/square_tri1.mesh') 5spb = SplineBox([[-1, 1], [-1, 0.6]], mesh.coors, nsg=[2,1])

Modify the position of mesh coordinates by moving three control points (with indices 1,2 and 3):

1spb.move_control_point(1, [0.1, -0.2]) 2spb.move_control_point(2, [0.2, -0.3]) 3spb.move_control_point(3, [0.0, -0.1])

Evaluate the new coordinates:

mesh.cmesh.coors[:] = spb.evaluate()

Write the deformed mesh and the spline control net (the net of control points) into vtk files:

spb.write_control_net('square_tri1_spbox.vtk') mesh.write('square_tri1_deform.vtk')

The following figures show the undeformed (left) and deformed (right) mesh and the control net.

## SplineRegion2D¶

In this case, the region (only in 2D) of parametrization is defined by four B-spline curves:

```
1from sfepy.mesh.splinebox import SplineRegion2D
2
3spb = SplineRegion2D([<bspl1>, <bspl2>, <bspl3>, <bspl4>], <coors>)
```

The curves must form a closed loop, must be oriented counterclockwise and the opposite curves (<bspl1>, <bspl3> and <bspl2>, <bspl4>) must have the same number of control points and the same knot vectors, see the figure below, on the left.

The position of the selected vertices, depicted in the figure on the right, are
driven by the control points in the same way as explained above for
`SplineBox`

.

**Note:** Initializing `SplineRegion2D`

may be time consuming due to the fact
that for all vertex coordinates the spline parameters have to be found using
an optimization method in which the B-spline basis is repeatedly evaluated.

### Example¶

First of all, define four B-spline curves (the default degree of the spline curve is 3) representing the boundary of a parametrization area:

1from sfepy.mesh.bspline import BSpline 2 3# left / right boundary 4line_l = nm.array([[-1, 1], [-1, .5], [-1, 0], [-1, -.5]]) 5line_r = nm.array([[0, -.2], [.1, .2], [.3, .6], [.4, 1]]) 6 7sp_l = BSpline() 8sp_l.approximate(line_l, ncp=4) 9kn_lr = sp_l.get_knot_vector() 10 11sp_r = BSpline() 12sp_r.approximate(line_r, knots=kn_lr) 13 14# bottom / top boundary 15line_b = nm.array([[-1, -.5], [-.8, -.6], [-.5, -.4], [-.2, -.2], [0, -.2]]) 16line_t = nm.array([[.4, 1], [0, 1], [-.2, 1], [-.6, 1], [-1, 1]]) 17 18sp_b = BSpline() 19sp_b.approximate(line_b, ncp=5) 20kn_bt = sp_b.get_knot_vector() 21 22sp_t = BSpline() 23sp_t.approximate(line_t, knots=kn_bt)

Create a new 2D

`SplineRegion2D`

object:1from sfepy.mesh.splinebox import SplineRegion2D 2 3spb = SplineRegion2D([sp_b, sp_r, sp_t, sp_l], mesh.coors)

Move the control points:

1spb.move_control_point(5, [-.2, .1]) 2spb.move_control_point(10, [-.3, .2]) 3spb.move_control_point(15, [-.1, .2])

Evaluate the new coordinates:

mesh.cmesh.coors[:] = spb.evaluate()

The figures below show the undeformed (left) and deformed (right) mesh and the control net.