def make_example_mesh():
# Base mesh parameters
dh = 5.0 # base cell size
nbc = 32 # total width of mesh in terms of number of base mesh cells
h = dh * np.ones(nbc)
mesh = TreeMesh([h, h, h], x0="CCC")
# Refine to largest possible cell size
mesh.refine(3, finalize=False)
return mesh
def baseline_octree_mesh(N, delta):
"""
Set up a basic regular Cartesian octree mesh as a default; this can then
be refined once we specify model features or voxelizations, so it is NOT
currently finalized
:param N: length of one edge of a cubical volume in cells
:param delta: length of one edge of a mesh cube
:return: TreeMesh instance
"""
h = delta * np.ones(N)
mesh = TreeMesh([h, h, h], x0="CCC")
mesh.refine(3, finalize=False)
return mesh
## Refine surface no alvo
#xp, yp, zp = np.meshgrid([-5000., 5000.], [-5000., 5000.], [-1000., -2000.])
#xyz = np.c_[mkvc(xp), mkvc(yp), mkvc(zp)]
#
#M = refine_tree_xyz(
# M, xyz, octree_levels=[1,0], method='surface', finalize=False)
#Refine rest of the grid
def refine(cell):
if np.sqrt(((np.r_[cell.center] - 0.5)**2).sum()) < 0.4:
return 1
return 1
M.refine(refine)
M.finalize()
conds = [0.01, 1] # [heterogeneidade,background]
sig = simpeg.Utils.ModelBuilder.defineBlock(M.gridCC, [-500, -500, -200],
[500, 500, -100], conds)
#sig[M.gridCC[:,2] > -1000] = 3.3 # água
sig[M.gridCC[:, 2] > 0] = 1e-12 # ar
sigBG = np.zeros(M.nC) + conds[1]
#sigBG[M.gridCC[:, 2] > -1000] = 3.3
sigBG[M.gridCC[:, 2] > 0] = 1e-12
# MESH 1D (para modelo de background)
mesh1d = simpeg.Mesh.TensorMesh([M.hz], np.array([M.x0[2]]))
