You can generate a simple mesh in order to probe what's stored by doing
something like:
mesh1 = fp.Grid2D(nx=2, ny=2)
mesh2 = fp.Grid2D(nx=2, ny=2) + [[2], [1]]
mesh = mesh1 + mesh2
> On Jun 15, 2016, at 2:06 PM, James Pringle wrote:
>
> Jonathan --
>
> Thank you,
The answer to both is "I don't think so"
> On Jun 15, 2016, at 2:06 PM, James Pringle wrote:
>
> Jonathan --
>
> Thank you, this is exactly what I need. Two more questions.
> • Is the order of the vertices in faceVertexIDs important?
> • Is the order of faces in
I think that you need to instatiate one of these
https://github.com/usnistgov/fipy/blob/develop/fipy/meshes/mesh2D.py#L70
with the correct arrays. For examples,
>>> points = [[0,0], [0, 1], [1, 0], [1, 1]]
>>> from scipy.spatial import Delaunay
>>> tri = Delaunay(points)
>>> tri.points
Jonathan --
Thank you, this is exactly what I need. Two more questions.
1. Is the order of the vertices in faceVertexIDs important?
2. Is the order of faces in cellFaceIDs important? Must they wind
clockwise or counterclockwise?
Thanks,
Jamie
On Wed, Jun 15, 2016 at 1:56 PM, Guyer,
The first three arguments to the Mesh2D constructor are (all that is) required:
class Mesh2D(Mesh):
def __init__(self, vertexCoords, faceVertexIDs, cellFaceIDs, ...):
All other arguments have default values assigned.
For your case:
vertexCoords is of shape (2, N) where N is the number
Well, I am motivated to give it a go, since I only have the summer to make
progress on project and it is blocking my research progress right now. Can
you give me a pointer to where the appropriate quantities are defined? I
can certainly write code to make the transformations, but it is a bit hard
Hi Jamie,
There is no automated way to make a FiPy mesh from Scipy's Delaunay
object. The problem is that FiPy needs a face to vertex array and a
cell to face array while the Delaunay object just has the cell to
vertex array. The functionality to extract the face to vertex array
and cell to face
Thank you. Because of the regular nature of the original data, it is easy
to make it all triangles.
Cheers,
Jamie
On Wed, Jun 8, 2016 at 2:10 PM, Guyer, Jonathan E. Dr. (Fed) <
jonathan.gu...@nist.gov> wrote:
> Meshes with holes are not a problem for FiPy. Daniel will be happy to help
> you
Meshes with holes are not a problem for FiPy. Daniel will be happy to help you
create a Mesh2D from the output of the triangle package. Basically, you need a
list of vertex coordinates, a list of vertex IDs that make up faces, and a list
of faces that make up cells. Having all triangles should
Hi Jamie,
The simplest way might be just to take a basic grid and just "switch
off" the simulation outside of the black zone. This can be achieved by
including a transient term in the equation and setting the coefficient
to be large in the white zone and zero or something small in the black
zone.
If the domain were not so large and so sparse, I'd be inclined to create a
simple, rectilinear Grid2D of the full extent and then use known coefficients
to mask out (set B to zero?) the solution where you don't know/care.
Assuming the axes are labeled in grid spacings (?), then your mesh would
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