from solverFVM import solveFiniteVolume, createFVPostProzessMesh
# build domain
nSteps = 20
dPhi = (0.6 * np.pi) / nSteps
boundaries = []
for i in range(1, nSteps + 1):
boundaries.append([np.cos(dPhi * i), np.sin(dPhi * i)])
poly = pg.Mesh(2)
nodes = []
for b in boundaries:
nodes.append(poly.createNode(b))
for b in boundaries[::-1]:
nodes.append(poly.createNode(pg.RVector3(b) * 0.1))
for i in range(len(nodes)):
poly.createEdge(nodes[i], nodes[(i + 1) % len(nodes)], 1)
mesh = createMesh(poly, quality=34, area=0.001, smooth=[0, 10])
f = pg.Vector(mesh.cellCount(), 10)
a = pg.Vector(mesh.cellCount(), 0.1)
#Start FEM solution
swatch = pg.core.Stopwatch(True)
uDirichlet = [
1, lambda p_: np.sin(np.arctan2(p_.center()[1],
p_.center()[0])) / p_.center().abs()
]
def appendTriangleBoundary(mesh,
xbound=10,
ybound=10,
marker=1,
quality=34.0,
area=0.0,
smooth=False,
markerBoundary=1,
isSubSurface=False,
verbose=False):
"""Add a triangle mesh boundary to a given mesh.
Returns a new mesh that contains a triangulated box around a given mesh
suitable for geo-simulation (surface boundary at top).
Parameters
----------
mesh : mesh object
Mesh to which the triangle boundary should be appended.
xbound : float, optional
Horizontal prolongation distance. Minimal mesh 0.5 x extension.
ybound : float, optional
Vertical prolongation distance. Minimal mesh 0.5 y extension.
marker : int, optional
Marker of new cells.
markerBoundary : int, optional
Marker of the inner boundary edges between mesh and new boundary.
quality : float, optional
Triangle quality.
area: float, optional
Triangle max size within the boundary.
smooth : boolean, optional
Apply mesh smoothing.
isSubSurface : boolean, optional
Apply boundary conditions suitable for geo-simulation and prolongate
mesh to the surface if necessary.
verbose : boolean, optional
Be verbose.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import pygimli as pg
>>> from pygimli.mplviewer import drawMesh, drawModel
>>> from pygimli.meshtools import appendTriangleBoundary
>>> inner = pg.createGrid(range(5), range(5), marker=1)
>>> mesh = appendTriangleBoundary(inner, xbound=3, ybound=6, marker=2)
>>> fig, (ax1, ax2) = plt.subplots(1,2)
>>> p1 = drawMesh(ax1, inner)
>>> p2 = drawModel(ax2, mesh, mesh.cellMarkers(), label='marker')
>>> p3 = drawMesh(ax2, mesh)
>>> txt1 = ax1.set_title("a) Input grid")
>>> txt2 = ax2.set_title("b) With triangle boundary")
See Also
--------
appendTetrahedronBoundary
"""
surface = 0.0
# find boundaries on left/right/bottom/top side
le = [b for b in mesh.boundaries() if b.center().x() == mesh.xmin()]
bo = [b for b in mesh.boundaries() if b.center().y() == mesh.ymin()]
ri = [b for b in mesh.boundaries() if b.center().x() == mesh.xmax()]
top = [b for b in mesh.boundaries() if b.center().y() == mesh.ymax()]
# gather all right boundary nodes after sorting in boundaryNodes
tmp = []
for b in ri:
if b.node(0) not in tmp:
tmp.append(b.node(0))
if b.node(1) not in tmp:
tmp.append(b.node(1))
tmp.sort(key=lambda n: n.pos().y())
tmp.reverse()
boundaryNodes = tmp
# gather all bottom boundary nodes and add them to boundaryNodes
boNode = []
for b in bo:
if b.node(0) not in boNode + boundaryNodes:
boNode.append(b.node(0))
if b.node(1) not in boNode + boundaryNodes:
boNode.append(b.node(1))
boNode.sort(key=lambda n: n.pos().x())
boNode.reverse()
boundaryNodes = boundaryNodes + boNode
# gather all left boundary nodes and add them to boundaryNodes
tmp = []
for b in le:
if b.node(0) not in tmp + boundaryNodes:
tmp.append(b.node(0))
if b.node(1) not in tmp + boundaryNodes:
tmp.append(b.node(1))
tmp.sort(key=lambda n: n.pos().y())
boundaryNodes = boundaryNodes + tmp
if isSubSurface:
# gather all top boundary nodes and add them to boundaryNodes
topNodes = []
for boundary in top:
if boundary.node(0) not in topNodes + boundaryNodes:
topNodes.append(boundary.node(0))
if boundary.node(1) not in topNodes + boundaryNodes:
topNodes.append(boundary.node(1))
topNodes.sort(key=lambda n: n.pos().x())
boundaryNodes = boundaryNodes + topNodes
poly = pg.Mesh()
preserveSwitch = ''
if isSubSurface:
# add all boundary nodes
for n in boundaryNodes:
poly.createNode(n.pos())
# and connect them by a closed polygon
for i in range(0, poly.nodeCount()):
poly.createEdge(poly.node(i), poly.node(
(i + 1) % poly.nodeCount()), markerBoundary)
# add four corners of the world box
xtLen = 12
# x bottom boundary sampling points
# xBottom = pg.asvector(np.linspace(mesh.xmin() - xbound,
# mesh.xmax() + xbound, xtLen))
n1 = poly.createNode(pg.RVector3(mesh.xmax() + xbound, surface, 0.0))
n2 = poly.createNode(pg.RVector3(mesh.xmin() - xbound, surface, 0.0))
n3 = poly.createNode(
pg.RVector3(mesh.xmin() - xbound,
mesh.ymin() - ybound, 0.0))
n4 = poly.createNode(
pg.RVector3(mesh.xmax() + xbound,
mesh.ymin() - ybound, 0.0))
# and connect them by a closed polygon
poly.createEdge(n1, n2, pg.MARKER_BOUND_HOMOGEN_NEUMANN)
poly.createEdge(n2, n3, pg.MARKER_BOUND_MIXED)
poly.createEdge(n3, n4, pg.MARKER_BOUND_MIXED)
poly.createEdge(n4, n1, pg.MARKER_BOUND_MIXED)
else: # no isSubSurface
xbound = max(xbound, 0.5 * (mesh.xmax() - mesh.xmin()))
ybound = max(ybound, 0.5 * (mesh.ymax() - mesh.ymin()))
# add top right node and boundary nodes
dxMin = boNode[0].pos().distance(boNode[1].pos()) * 1.1
xtLen = max(5, int(xbound / dxMin / 2.))
# x top boundary sampling points
xTop = pg.increasingRange(dxMin, xbound, xtLen)
# y boundary sampling points
yLeft = pg.increasingRange(xTop[len(xTop) - 1] - xTop[len(xTop) - 2],
abs(mesh.ymin() - ybound), xtLen)
xtLen = max(5, int((mesh.xmax() - mesh.xmin()) / dxMin / 2.))
# x bottom boundary sampling points
xBottom = pg.RVector(
np.linspace(mesh.xmin() - xbound,
mesh.xmax() + xbound, 2 * xtLen))
for i, val in enumerate(pg.fliplr(xTop)(0, len(xTop) - 1)):
poly.createNode([mesh.xmax() + val, mesh.ymax(), 0.0])
for n in boundaryNodes:
poly.createNode(n.pos())
# add top left, bottom left and bottom right node
for t in xTop(1, len(xTop)):
poly.createNode([mesh.xmin() - t, mesh.ymax(), 0.0])
for t in yLeft(1, len(yLeft)):
poly.createNode([mesh.xmin() - xbound, mesh.ymax() - t, 0.0])
for t in xBottom(1, len(xBottom) - 1):
poly.createNode([t, mesh.ymin() - ybound, 0.0])
for t in pg.fliplr(yLeft)(0, len(yLeft) - 1):
poly.createNode([mesh.xmax() + xbound, mesh.ymax() - t, 0.0])
# create a closed polygon through all new nodes
for i in range(0, poly.nodeCount()):
poly.createEdge(poly.node(i), poly.node(
(i + 1) % poly.nodeCount()), markerBoundary)
preserveSwitch = 'Y'
# poly.exportVTK('out.poly')
mesh2 = pg.Mesh(2)
# call triangle mesh generation
triswitches = '-pzeAfa' + preserveSwitch + 'q' + str(quality)
if area > 0:
triswitches += 'a' + str(area)
if not verbose:
triswitches += 'Q'
if isSubSurface:
margin = 0.0001
poly.addHoleMarker(
pg.RVector3(mesh.xmin() + margin,
mesh.ymax() - margin))
tri = pg.TriangleWrapper(poly)
tri.setSwitches(triswitches)
tri.generate(mesh2)
else:
pg.TriangleWrapper(poly, mesh2, triswitches)
if smooth:
mesh2.smooth(nodeMoving=True,
edgeSwapping=True,
smoothFunction=1,
smoothIteration=2)
mesh2.setCellMarkers([marker] * mesh2.cellCount())
# map copy the cell not the reference, this should not happen
# map( lambda cell: mesh2.copyCell( cell ), mesh2.cells() )
for cell in mesh.cells():
mesh2.copyCell(cell)
# old neighbor infos need to be cleaned since the new cells are added
mesh2.createNeighbourInfos(force=True)
for b in mesh2.boundaries():
if b.leftCell() is None or b.rightCell() is None:
if b.center().y() == mesh2.ymax():
b.setMarker(pg.MARKER_BOUND_HOMOGEN_NEUMANN)
else:
b.setMarker(pg.MARKER_BOUND_MIXED)
return mesh2
def interpolateAlongCurve(curve, t, **kwargs):
"""Interpolate along curve.
Return curve coordinates for a piecewise linear curve
:math:`C(t) = {x_i,y_i,z_i}` at positions :math:`t`.
Curve and :math:`t` values are expected to be sorted along distance from
the origin of the curve.
Parameters
----------
curve : [[x,z]] | [[x,y,z]] | [:gimliapi:`GIMLI::RVector3`] | :gimliapi:`GIMLI::R3Vector`
Discrete curve for 2D :math:`x,z` curve=[[x,z]], 3D :math:`x,y,z`
t: 1D iterable
Query positions along the curve in absolute distance
kwargs :
If kwargs are given, an additional curve smoothing is applied using
:py:mod:`pygimli.meshtools.interpolate`. The kwargs will be delegated.
periodic : bool [False]
Curve is periodic.
Usefull for closed parametric spline interpolation.
Returns
-------
p : np.array
Curve positions at query points :math:`t`.
Dimension of p match the size of curve the coordinates.
Examples
--------
>>> import numpy as np
>>> import pygimli as pg
>>> import pygimli.meshtools as mt
>>> fig, axs = pg.plt.subplots(2,2)
>>> topo = np.array([[-2., 0.], [-1., 0.], [0.5, 0.], [3., 2.], [4., 2.], [6., 1.], [10., 1.], [12., 1.]])
>>> t = np.arange(15.0)
>>> p = mt.interpolateAlongCurve(topo, t)
>>> _= axs[0,0].plot(topo[:,0], topo[:,1], '-x', mew=2)
>>> _= axs[0,1].plot(p[:,0], p[:,1], 'o', color='red') #doctest: +ELLIPSIS
>>>
>>> p = mt.interpolateAlongCurve(topo, t, method='spline')
>>> _= axs[1,0].plot(p[:,0], p[:,1], '-o', color='black') #doctest: +ELLIPSIS
>>>
>>> p = mt.interpolateAlongCurve(topo, t, method='harmonic', nc=3)
>>> _= axs[1,1].plot(p[:,0], p[:,1], '-o', color='green') #doctest: +ELLIPSIS
>>>
>>> pg.plt.show()
"""
xC = np.zeros(len(curve))
yC = np.zeros(len(curve))
zC = np.zeros(len(curve))
tCurve = kwargs.pop('tCurve', None)
if tCurve is None:
tCurve = pg.utils.cumDist(curve)
dim = 3
# extrapolate starting overlaps
if min(t) < min(tCurve):
d = pg.RVector3(curve[1]) - pg.RVector3(curve[0])
# d[2] = 0.0
d.normalise()
curve = np.insert(curve, [0], [
curve[0] - np.array(d * (min(tCurve) - min(t)))[0:curve.shape[1]]
], axis=0)
tCurve = np.insert(tCurve, 0, min(t), axis=0)
# extrapolate ending overlaps
if max(t) > max(tCurve):
d = pg.RVector3(curve[-2]) - pg.RVector3(curve[-1])
# d[2] = 0.0
d.normalise()
curve = np.append(curve, [
curve[-1] - np.array(d * (max(t) - max(tCurve)))[0:curve.shape[1]]
], axis=0)
tCurve = np.append(tCurve, max(t))
if isinstance(curve, pg.core.R3Vector) or isinstance(
curve, pg.core.stdVectorRVector3):
xC = pg.x(curve)
yC = pg.y(curve)
zC = pg.z(curve)
else:
curve = np.array(curve)
if curve.shape[1] == 2:
xC = curve[:, 0]
zC = curve[:, 1]
dim = 2
else:
xC = curve[:, 0]
yC = curve[:, 1]
zC = curve[:, 2]
if len(kwargs.keys()) > 0 and (kwargs.get('method', 'linear') != 'linear'):
# interpolate more curve points to get a smooth line, guarantee to keep
# original positions
ti = np.array([np.linspace(tCurve[i], tCurve[i+1], 20)[:-1]
for i in range(len(tCurve)-1)]).flatten()
ti = np.append(ti, tCurve[-1])
xC = pg.interpolate(ti, tCurve, xC, **kwargs)
zC = pg.interpolate(ti, tCurve, zC, **kwargs)
if dim == 3:
yC = pg.interpolate(ti, tCurve, yC, **kwargs)
tCurve = ti
xt = interpolate(t, tCurve, xC)
zt = interpolate(t, tCurve, zC)
if dim == 2:
return np.vstack([xt, zt]).T
yt = interpolate(t, tCurve, yC)
return np.vstack([xt, yt, zt]).T
# def test3d()
def functor(x, p):
"""
"""
return (p[1] - x[1]) / (x.dist(p)**2.)
# def rz( pos, P )
mesh = pg.Mesh(2)
# mesh.load('mesh/world2d.bms')
A = mesh.createNode(pg.RVector3(-1., -1.))
B = mesh.createNode(pg.RVector3(-2., -1.))
C = mesh.createNode(pg.RVector3(-2., -2.))
D = mesh.createNode(pg.RVector3(-1., -2.))
mesh.createTriangle(A, B, C)
# mesh.createQuadrangle(A, B, C, D)
mesh.scale(pg.RVector3(3., 3.))
# mesh.createTriangle(A, B, D)
print mesh.cellSizes()
x = np.arange(-10, 10, 1.)
rho = pg.RVector(len(mesh.cellAttributes()), 1.) * 2000.0
print(rho)
pnts = pg.stdVectorRVector3()
def createHolstein1999Model():
mesh = pg.Mesh(3)
mesh.createNode(pg.RVector3(0, 0, 0)) # dummy
mesh.createNode(pg.RVector3(+10, 10, -12))
mesh.createNode(pg.RVector3(+10, -10, -12))
mesh.createNode(pg.RVector3(-10, -10, -12))
mesh.createNode(pg.RVector3(-10, 10, -12))
mesh.createNode(pg.RVector3(-20, 30, -12))
mesh.createNode(pg.RVector3(+30, 30, -12))
mesh.createNode(pg.RVector3(+20, 20, -22))
mesh.createNode(pg.RVector3(+20, -30, -22))
mesh.createNode(pg.RVector3(-20, -30, -22))
mesh.createNode(pg.RVector3(-20, 20, -22))
facets = [[1, 6, 5, 4, 3, 2], [1, 2, 8, 7], [2, 3, 9, 8], [3, 4, 10, 9],
[4, 5, 10], [5, 6, 7, 10], [1, 7, 6], [7, 8, 9, 10]]
return mesh, facets
def _createParameterContraintsLines(mesh, cMat, cWeights=None):
"""Create line segments representing constrains.
"""
C = None
if isinstance(cMat, pg.matrix.SparseMapMatrix):
tmp = pg.optImport('tempfile')
_, tmpFile = tmp.mkstemp(suffix='.matrix')
C = pg.Matrix()
cMat.save(tmpFile)
pg.loadMatrixCol(C, tmpFile)
try:
import os
os.remove(tmpFile)
except Exception as e:
pg.error(e)
print("can't remove:", tmpFile)
else:
C = cMat
cellList = dict()
for c in mesh.cells():
pID = c.marker()
if pID not in cellList:
cellList[pID] = []
cellList[pID].append(c)
paraCenter = dict()
for pID, vals in list(cellList.items()):
p = pg.RVector3(0.0, 0.0, 0.0)
for c in vals:
p += c.center()
p /= float(len(vals))
paraCenter[pID] = p
nConstraints = cMat.rows()
start = []
end = []
# swatch = pg.core.Stopwatch(True) # not used
i = -1
while i < C[0].size():
cID = C[0][i]
a = C[1][i]
b = None
if i < C[0].size() - 1:
if C[0][i + 1] == cID:
b = C[1][i + 1]
i += 1
if b is not None:
if cWeights[cID] > 0:
p1 = paraCenter[a]
p2 = paraCenter[b]
if cWeights is not None:
pa = pg.RVector3(p1 + (p2 - p1) / 2.0 *
(1.0 - cWeights[cID]))
pb = pg.RVector3(p2 + (p1 - p2) / 2.0 *
(1.0 - cWeights[cID]))
else:
pa = p1
pb = p2
start.append(pa)
end.append(pb)
else:
start.append(paraCenter[a])
end.append(paraCenter[a])
i += 1
return start, end
def createRectangle(start=None, end=None, pos=None, size=None, **kwargs):
"""Create rectangle polygon.
Create rectangle with start position and a given size.
Give either start and end OR pos and size.
Parameters
----------
start : [x, y]
Left upper corner. Default [-0.5, 0.5]
end : [x, y]
Right lower corner. Default [0.5, -0.5]
pos : [x, y]
Center position. The rectangle will be moved.
size : [x, y]
width and height. The rectangle will be scaled.
**kwargs:
marker : int [1]
Marker for the resulting triangle cells after mesh generation
area : float [0]
Maximum cell size for resulting triangles after mesh generation
boundaryMarker : int [1]
Marker for the resulting boundary edges
leftDirection : bool [True]
TODO Rotational direction
isHole : bool [False]
The Polygone will become a hole instead of a triangulation
isClosed : bool [True]
Add closing edge between last and first node.
Returns
-------
poly : :gimliapi:`GIMLI::Mesh`
The resulting polygon is a :gimliapi:`GIMLI::Mesh`.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import pygimli as pg
>>> from pygimli.meshtools import createRectangle
>>> rectangle = createRectangle(start=[4, -4], end=[6, -6],
... marker=4, area=0.1)
>>> _ = pg.show(rectangle)
"""
# if not ((start and end) or (pos and size)):
# raise BaseException("createRectangle pls. give either start and end"
# "OR pos and size.")
if start is None:
start = [-0.5, 0.5]
if end is None:
end = [0.5, -0.5]
poly = pg.Mesh(dim=2, isGeometry=True)
sPos = pg.RVector3(start)
ePos = pg.RVector3(end)
poly.createNode(sPos)
poly.createNode([sPos[0], ePos[1]])
poly.createNode(ePos)
poly.createNode([ePos[0], sPos[1]])
if kwargs.pop('isHole', False):
poly.addHoleMarker(sPos + (ePos - sPos) * 0.2)
else:
poly.addRegionMarker(sPos + (ePos - sPos) * 0.2,
marker=kwargs.pop('marker', 1),
area=kwargs.pop('area', 0))
if size is not None:
poly.scale(size)
if pos is not None:
poly.translate(pos)
polyCreateDefaultEdges_(poly, **kwargs)
return poly
def save_p3d(paraDomain,
model_array,
mesh_cut_tool_param,
step,
file_name,
local_coord=False):
"""Saves result as .p3d file."""
base_point, gen_vecs = cut_point_cloud.cut_tool_to_gen_vecs(
mesh_cut_tool_param)
x_nodes = math.floor(np.linalg.norm(gen_vecs[0]) / step) + 1
y_nodes = math.floor(np.linalg.norm(gen_vecs[1]) / step) + 1
z_nodes = math.floor(np.linalg.norm(gen_vecs[2]) / step) + 1
x_knots = [1 / (x_nodes - 1) * i for i in range(x_nodes)]
y_knots = [1 / (y_nodes - 1) * i for i in range(y_nodes)]
z_knots = [1 / (z_nodes - 1) * i for i in range(z_nodes)]
grid = [[[0.0] * x_nodes for _ in range(y_nodes)] for _ in range(z_nodes)]
inv_tr_mat = cut_point_cloud.inv_tr(gen_vecs)
for i in range(paraDomain.cellCount()):
cell = paraDomain.cell(i)
for j, n in enumerate(cell.nodes()):
nl = cut_point_cloud.tr_to_local(base_point, inv_tr_mat,
np.array([n[0], n[1], n[2]]))
if j == 0:
cxmin = cxmax = nl[0]
cymin = cymax = nl[1]
czmin = czmax = nl[2]
else:
if nl[0] < cxmin:
cxmin = nl[0]
elif nl[0] > cxmax:
cxmax = nl[0]
if nl[1] < cymin:
cymin = nl[1]
elif nl[1] > cymax:
cymax = nl[1]
if nl[2] < czmin:
czmin = nl[2]
elif nl[2] > czmax:
czmax = nl[2]
x_s = 0
for i in range(1, len(x_knots)):
if x_knots[i] < cxmin:
x_s = i
else:
break
x_e = len(x_knots)
for i in reversed(range(0, len(x_knots))):
if x_knots[i] > cxmax:
x_e = i
else:
break
y_s = 0
for i in range(1, len(y_knots)):
if y_knots[i] < cymin:
y_s = i
else:
break
y_e = len(y_knots)
for i in reversed(range(0, len(y_knots))):
if y_knots[i] > cymax:
y_e = i
else:
break
z_s = 0
for i in range(1, len(z_knots)):
if z_knots[i] < czmin:
z_s = i
else:
break
z_e = len(z_knots)
for i in reversed(range(0, len(z_knots))):
if z_knots[i] > czmax:
z_e = i
else:
break
r = model_array[cell.id()]
shape = cell.shape()
for k in range(z_s, z_e):
for j in range(y_s, y_e):
for i in range(x_s, x_e):
v = base_point + gen_vecs[0] * x_knots[i] + gen_vecs[
1] * y_knots[j] + gen_vecs[2] * z_knots[k]
if shape.isInside(pg.RVector3(v)):
grid[k][j][i] = r
def five_writer(fd):
i = 0
def write(s):
nonlocal i
i += 1
if i > 1:
fd.write(" ")
fd.write(s)
if i >= 5:
fd.write("\n")
i = 0
def finalize():
nonlocal i
if i > 0:
fd.write("\n")
return write, finalize
if local_coord:
base_point = np.array([0.0, 0.0, 0.0])
l0 = np.linalg.norm(gen_vecs[0])
l1 = np.linalg.norm(gen_vecs[1])
phi = math.acos(
(gen_vecs[0][0] * gen_vecs[1][0] + gen_vecs[0][1] * gen_vecs[1][1])
/ (l0 * l1))
gen_vecs[0] = np.array([l0, 0.0, 0.0])
gen_vecs[1] = np.array([l1 * math.cos(phi), l1 * math.sin(phi), 0.0])
with open(file_name + ".p3d", "w") as fd_p3d:
with open(file_name + ".q", "w") as fd_q:
fd_p3d.write("{} {} {}\n".format(x_nodes, y_nodes, z_nodes))
fd_q.write("{} {} {}\n".format(x_nodes, y_nodes, z_nodes))
fd_q.write("{:.10g} {:.10g} {:.10g} {:.10g}\n".format(
0.0, 0.0, 0.0, 0.0))
x_list = []
y_list = []
z_list = []
p3d_write, p3d_finalize = five_writer(fd_p3d)
q_write, q_finalize = five_writer(fd_q)
for rrr, zl in zip(grid, z_knots):
for rr, yl in zip(rrr, y_knots):
for r, xl in zip(rr, x_knots):
q_write("{:.10g}".format(r))
v = base_point + gen_vecs[0] * xl + gen_vecs[
1] * yl + gen_vecs[2] * zl
x_list.append(v[0])
y_list.append(v[1])
z_list.append(v[2])
for v in x_list:
p3d_write("{:.10g}".format(v))
for v in y_list:
p3d_write("{:.10g}".format(v))
for v in z_list:
p3d_write("{:.10g}".format(v))
s = "{:.10g}".format(0.0)
for _ in range(x_nodes * y_nodes * z_nodes * 4):
q_write(s)
p3d_finalize()
q_finalize()
def drawShapes(ax, mesh, u):
'''
'''
ax.set_aspect('equal')
Nx = 21
Ny = 21
nLevels = 12
tix = np.linspace(-1.0, 1.0, Nx)
tiy = np.linspace(-1.0, 1.0, Ny)
X, Y = np.meshgrid(tix, tiy)
uc = pg.RVector(len(X.flat))
c = mesh.cell(0)
imax = pg.find(u == max(u))[0]
for i in range(c.nodeCount()):
print(c.rst(i))
print(imax)
print(c.createShapeFunctions()[imax])
print("dx", c.createShapeFunctions()[imax].derive(0))
print("dy", c.createShapeFunctions()[imax].derive(1))
# draw nodes
for i in range(c.nodeCount()):
col = 'black'
if i == imax:
col = 'red'
ax.plot(c.node(i).pos()[0], c.node(i).pos()[1], '.', markersize=12,
linewidth=0, color=col)
# draw boundary
drawMeshBoundaries(ax, mesh)
ptns = []
grads = []
swatch = pg.Stopwatch(True)
for i, x in enumerate(X.flat):
p = c.shape().xyz(pg.RVector3(X.flat[i], Y.flat[i]))
X.flat[i] = p[0]
Y.flat[i] = p[1]
# ax.plot(p[0], p[1], '.', zorder=10, color='black', markersize = 1)
if not c.shape().isInside(p):
uc[i] = -99.0
continue
uc[i] = c.pot(p, u)
gr = c.grad(p, u)
ptns.append(p)
grads.append(gr)
print(swatch.duration(True))
for i, p in enumerate(ptns):
ax.quiver(p[0], p[1], grads[i][0], grads[i][1], zorder=10)
Z = np.ma.masked_where(uc == -99., uc)
Z = Z.reshape(Ny, Nx)
ax.contourf(X, Y, Z, nLevels)
def inv_st(inversion_conf, project_conf):
inv_par = inversion_conf.inversion_param
cut_par = inversion_conf.mesh_cut_tool_param
remove_old_files()
ret, bw_surface = prepare(cut_par, inv_par, project_conf)
if not ret:
return
#return
# snap electrodes
print()
print_headline("Snapping electrodes")
if inv_par.meshFrom == MeshFrom.SURFACE_CLOUD:
snap_surf.main(inv_par,
project_conf,
bw_surface,
max_dist=inv_par.snapDistance)
else:
snap_electrodes.main(inv_par,
project_conf,
max_dist=inv_par.snapDistance)
#ball_mesh("inv_mesh.msh", "inv_mesh2.msh", [-622342, -1128822, 22], 5.0)
#return
print()
print_headline("Creating inversion mesh")
mesh_from_brep("inv_mesh_tmp.brep", "inv_mesh_tmp.msh2", project_conf,
inv_par)
print()
print_headline("Modify mesh")
modify_mesh("inv_mesh_tmp.msh2", "inv_mesh.msh", cut_par)
#if inv_par.meshFrom == MeshFrom.SURFACE_CLOUD:
print()
print_headline("Snapping electrodes final")
snap_electrodes.main(inv_par,
project_conf,
max_dist=inv_par.snapDistance,
final=True)
print()
print_headline("Inversion")
# load data file
data = pg.DataContainer("input_snapped.dat",
sensorTokens='s g',
removeInvalid=False)
# remove invalid data
oldsize = data.size()
data.removeInvalid()
newsize = data.size()
if newsize < oldsize:
print('Removed ' + str(oldsize - newsize) + ' values.')
# create FOP
fop = pg.core.TravelTimeDijkstraModelling(verbose=inv_par.verbose)
fop.setThreadCount(psutil.cpu_count(logical=False))
fop.setData(data)
# create Inv
inv = pg.core.RInversion(verbose=inv_par.verbose, dosave=False)
# variables tD, tM are needed to prevent destruct objects
tM = pg.core.RTransLogLU(1.0 / inv_par.maxModel, 1.0 / inv_par.minModel)
tD = pg.core.RTrans()
inv.setTransData(tD)
inv.setTransModel(tM)
inv.setForwardOperator(fop)
# mesh
mesh_file = "inv_mesh.msh"
if mesh_file == "":
depth = inv_par.depth
if depth is None:
depth = pg.core.DCParaDepth(data)
poly = pg.meshtools.createParaMeshPLC(
data.sensorPositions(),
paraDepth=depth,
paraDX=inv_par.paraDX,
paraMaxCellSize=inv_par.maxCellArea,
paraBoundary=2,
boundary=2)
if inv_par.verbose:
print("creating mesh...")
mesh = pg.meshtools.createMesh(poly,
quality=inv_par.quality,
smooth=(1, 10))
else:
mesh = pg.Mesh(pg.load(mesh_file))
mesh.createNeighbourInfos()
mesh.createSecondaryNodes()
if inv_par.verbose:
print(mesh)
sys.stdout.flush() # flush before multithreading
fop.setMesh(mesh)
fop.regionManager().setConstraintType(1)
if not inv_par.omitBackground:
if fop.regionManager().regionCount() > 1:
fop.regionManager().region(1).setBackground(True)
if mesh_file == "":
fop.createRefinedForwardMesh(True, False)
else:
fop.createRefinedForwardMesh(inv_par.refineMesh, inv_par.refineP2)
paraDomain = fop.regionManager().paraDomain()
inv.setForwardOperator(fop) # necessary?
# inversion parameters
inv.setData(data('t'))
absoluteError = 0.001
relativeError = 0.001
inv.setAbsoluteError(absoluteError + data('t') * relativeError)
#inv.setRelativeError(pg.RVector(data.size(), 0.03))
fop.regionManager().setZWeight(inv_par.zWeight)
inv.setLambda(inv_par.lam)
inv.setOptimizeLambda(inv_par.optimizeLambda)
inv.setMaxIter(inv_par.maxIter)
inv.setRobustData(inv_par.robustData)
inv.setBlockyModel(inv_par.blockyModel)
inv.setRecalcJacobian(inv_par.recalcJacobian)
startModel = fop.createDefaultStartModel()
inv.setModel(startModel)
# Run the inversion
sys.stdout.flush() # flush before multithreading
model = inv.run()
velocity = 1.0 / model[paraDomain.cellMarkers()]
np.savetxt('velocity.vector', velocity)
paraDomain.addData('Velocity', velocity)
#paraDomain.exportVTK('velocity')
# output in local coordinates
if inv_par.local_coord:
base_point, gen_vecs = cut_point_cloud.cut_tool_to_gen_vecs(cut_par)
localparaDomain = pg.Mesh(paraDomain)
localparaDomain.translate(pg.RVector3(-base_point))
localparaDomain.rotate(
pg.RVector3(0, 0, -math.atan2(gen_vecs[0][1], gen_vecs[0][0])))
localparaDomain.exportVTK('velocity')
else:
paraDomain.exportVTK('velocity')
if inv_par.p3d:
print()
print_headline("Saving p3d")
t = time.time()
save_p3d(paraDomain, 1.0 / model.array(), cut_par, inv_par.p3dStep,
"velocity", inv_par.local_coord)
print("save_p3d elapsed time: {:0.3f} s".format(time.time() - t))
print()
print("All done.")
def inv_ert(inversion_conf, project_conf):
inv_par = inversion_conf.inversion_param
cut_par = inversion_conf.mesh_cut_tool_param
remove_old_files()
ret, bw_surface = prepare(cut_par, inv_par, project_conf)
if not ret:
return
#return
# snap electrodes
print()
print_headline("Snapping electrodes")
if inv_par.meshFrom == MeshFrom.SURFACE_CLOUD:
snap_surf.main(inv_par,
project_conf,
bw_surface,
max_dist=inv_par.snapDistance)
else:
snap_electrodes.main(inv_par,
project_conf,
max_dist=inv_par.snapDistance)
#ball_mesh("inv_mesh.msh", "inv_mesh2.msh", [-622342, -1128822, 22], 5.0)
#return
print()
print_headline("Creating inversion mesh")
mesh_from_brep("inv_mesh_tmp.brep", "inv_mesh_tmp.msh2", project_conf,
inv_par)
print()
print_headline("Modify mesh")
modify_mesh("inv_mesh_tmp.msh2", "inv_mesh.msh", cut_par)
#if inv_par.meshFrom == MeshFrom.SURFACE_CLOUD:
print()
print_headline("Snapping electrodes final")
snap_electrodes.main(inv_par,
project_conf,
max_dist=inv_par.snapDistance,
final=True)
print()
print_headline("Inversion")
# res = pb.Resistivity("input.dat")
# res.invert()
# np.savetxt('resistivity.vector', res.resistivity)
# return
# load data file
data = pg.DataContainerERT("input_snapped.dat", removeInvalid=False)
#data = pg.DataContainerERT("ldp2.dat")
#print(data.size())
#print(data("a"))
#print(data.sensorIdx())
#return
# mark all data valid
#data.markValid(data('rhoa') > 0)
#data.markValid(data('rhoa') <= 0)
#data.markValid(data('u') > 0)
# k, rhoa
#inv_par.k_ones = True
if inv_par.k_ones:
data.set("k", np.ones(data.size()))
else:
data.set("k", misc.geometricFactors(data))
#data.set("err", pb.Resistivity.estimateError(data, absoluteUError=0.0001, relativeError=0.03))
#data.set("k", np.ones(data.size()))
#data.set("k", misc.geometricFactors(data))
data.set("rhoa", data("u") / data("i") * data("k"))
tolerance = 1e-12
#data.markValid(np.abs(data('rhoa')) > tolerance)
data.markValid(data('rhoa') > tolerance)
data.markInvalid(data('rhoa') <= tolerance) # udelat poradne
# remove invalid data
oldsize = data.size()
data.removeInvalid()
newsize = data.size()
if newsize < oldsize:
print('Removed ' + str(oldsize - newsize) + ' values.')
if not data.allNonZero('rhoa'):
print("No or partial rhoa values.")
return
# check, compute error
# if data.allNonZero('err'):
# error = data('err')
# else:
# print("estimate data error")
# error = inv_par.relativeError + inv_par.absoluteError / data('rhoa')
error = data('err')
min_err = 0.0005
for i in range(data.size()):
if error[i] < min_err:
error[i] = min_err
# create FOP
fop = pg.core.DCSRMultiElectrodeModelling(verbose=inv_par.verbose)
fop.setThreadCount(psutil.cpu_count(logical=False))
fop.setData(data)
# create Inv
inv = pg.core.RInversion(verbose=inv_par.verbose, dosave=False)
# variables tD, tM are needed to prevent destruct objects
tM = pg.core.RTransLogLU(inv_par.minModel, inv_par.maxModel)
if inv_par.data_log:
tD = pg.core.RTransLog()
inv.setTransData(tD)
inv.setTransModel(tM)
inv.setForwardOperator(fop)
# mesh
mesh_file = "inv_mesh.msh"
#mesh_file = inv_par.meshFile
if mesh_file == "":
depth = inv_par.depth
if depth is None:
depth = pg.core.DCParaDepth(data)
poly = pg.meshtools.createParaMeshPLC(
data.sensorPositions(),
paraDepth=depth,
paraDX=inv_par.paraDX,
paraMaxCellSize=inv_par.maxCellArea,
paraBoundary=2,
boundary=2)
if inv_par.verbose:
print("creating mesh...")
mesh = pg.meshtools.createMesh(poly,
quality=inv_par.quality,
smooth=(1, 10))
else:
mesh = pg.Mesh(pg.load(mesh_file))
mesh.createNeighbourInfos()
if inv_par.verbose:
print(mesh)
sys.stdout.flush() # flush before multithreading
fop.setMesh(mesh)
fop.regionManager().setConstraintType(1)
# print(fop.regionManager().regionCount())
# print(fop.regionManager().paraDomain().cellMarkers())
# pg.show(mesh, data=mesh.cellMarkers())
# print(fop.regionManager().region(1).cellMarkers())
# return
if not inv_par.omitBackground:
if fop.regionManager().regionCount() > 1:
fop.regionManager().region(1).setBackground(True)
if mesh_file == "":
fop.createRefinedForwardMesh(True, False)
else:
fop.createRefinedForwardMesh(inv_par.refineMesh, inv_par.refineP2)
paraDomain = fop.regionManager().paraDomain()
#paraDomain = fop.regionManager().mesh()
inv.setForwardOperator(fop) # necessary?
# in_ball = find_markers_in_ball(paraDomain, [-622342, -1128822, 22], 5.0)
# print(pg.median(data('rhoa')))
# pc = fop.regionManager().parameterCount()
# x = pg.RVector(pc, 10000.0)
# for i, m in enumerate(paraDomain.cellMarkers()):
# if m in in_ball:
# x[i] = 1000.0
# resp = fop.response(x)
# print(resp)
#return
# inversion parameters
inv.setData(data('rhoa'))
#inv.setData(resp)
inv.setRelativeError(error)
#inv.setRelativeError(pg.RVector(data.size(), 0.03))
fop.regionManager().setZWeight(inv_par.zWeight)
inv.setLambda(inv_par.lam)
inv.setOptimizeLambda(inv_par.optimizeLambda)
inv.setMaxIter(inv_par.maxIter)
inv.setRobustData(inv_par.robustData)
inv.setBlockyModel(inv_par.blockyModel)
inv.setRecalcJacobian(inv_par.recalcJacobian)
pc = fop.regionManager().parameterCount()
if inv_par.k_ones:
# hack of gimli hack
v = pg.Vector(
pg.Vector(
pc,
pg.core.median(data('rhoa') * misc.geometricFactors(data))))
v[0] += tolerance * 2
startModel = v
else:
startModel = pg.Vector(pc, pg.core.median(data('rhoa')))
#startModel = pg.RVector(pc, 2000.0)
inv.setModel(startModel)
# Run the inversion
sys.stdout.flush() # flush before multithreading
model = inv.run()
resistivity = model[paraDomain.cellMarkers()]
np.savetxt('resistivity.vector', resistivity)
paraDomain.addData('Resistivity', resistivity)
#paraDomain.addExportData('Resistivity (log10)', np.log10(resistivity))
#paraDomain.addExportData('Coverage', coverageDC(fop, inv, paraDomain))
#paraDomain.exportVTK('resistivity')
# output in local coordinates
if inv_par.local_coord:
base_point, gen_vecs = cut_point_cloud.cut_tool_to_gen_vecs(cut_par)
localparaDomain = pg.Mesh(paraDomain)
localparaDomain.translate(pg.RVector3(-base_point))
localparaDomain.rotate(
pg.RVector3(0, 0, -math.atan2(gen_vecs[0][1], gen_vecs[0][0])))
localparaDomain.exportVTK('resistivity')
else:
paraDomain.exportVTK('resistivity')
# measurements on model
print()
print_headline("Measurements on model")
with open("measurements_info.json") as fd:
meas_info = MeasurementsInfo.deserialize(json.load(fd))
resp = fop.response(resistivity)
# hack of gimli hack
v = pg.Vector(startModel)
v[0] += tolerance * 2
resp_start = fop.response(v)
map = {}
map_start = {}
map_appres_gimli = {}
for i in range(data.size()):
map[(data("a")[i], data("b")[i], data("m")[i], data("n")[i])] = resp[i]
map_start[(data("a")[i], data("b")[i], data("m")[i],
data("n")[i])] = resp_start[i]
map_appres_gimli[(data("a")[i], data("b")[i], data("m")[i],
data("n")[i])] = data('rhoa')[i]
meas_model_info = MeasurementsModelInfo()
with open("measurements_model.txt", "w") as fd:
fd.write(
"meas_number ca cb pa pb I[A] V[V] AppRes[Ohmm] std AppResGimli[Ohmm] AppResModel[Ohmm] ratio AppResStartModel[Ohmm] start_ratio\n"
)
fd.write(
"-------------------------------------------------------------------------------------------------------------------------------------------------\n"
)
for item in meas_info.items:
k = (item.inv_ca, item.inv_cb, item.inv_pa, item.inv_pb)
if k in map:
m_on_m = "{:17.2f} {:17.2f} {:7.2f} {:22.2f} {:7.2f}".format(
map_appres_gimli[k], map[k], map[k] / map_appres_gimli[k],
map_start[k], map_start[k] / map_appres_gimli[k])
meas_model_info.items.append(
MeasurementModelInfoItem(
measurement_number=item.measurement_number,
ca=item.ca,
cb=item.cb,
pa=item.pa,
pb=item.pb,
app_res_model=map[k],
app_res_start_model=map_start[k]))
else:
m_on_m = " not used"
fd.write(
"{:11} {:3} {:3} {:3} {:3} {:8.6f} {:9.6f} {:12.2f} {:6.4f} {}\n"
.format(item.measurement_number, item.ca, item.cb, item.pa,
item.pb, item.I, item.V, item.AppRes, item.std,
m_on_m))
with open("measurements_model_info.json", "w") as fd:
json.dump(meas_model_info.serialize(), fd, indent=4, sort_keys=True)
if inv_par.p3d:
print()
print_headline("Saving p3d")
t = time.time()
save_p3d(paraDomain, model.array(), cut_par, inv_par.p3dStep,
"resistivity", inv_par.local_coord)
print("save_p3d elapsed time: {:0.3f} s".format(time.time() - t))
print()
print("All done.")
# Optional: show the geometry
#pg.show(geom)
# Create a Dipole Dipole ('dd') measuring scheme with n electrodes.
scheme = pb.createData(elecs=pg.utils.grange(start=0, end=86, n=43),
schemeName='dd')
simulData = pg.createERTData(scheme, schemeName='dd')
# Put all electrodes (aka. sensors positions) into the PLC to enforce mesh
# refinement. Due to experience known, its convenient to add further refinement
# nodes in a distance of 10% of electrode spacing, to achieve sufficient
# numerical accuracy.
for pos in scheme.sensorPositions():
geom.createNode(pos)
geom.createNode(pos + pg.RVector3(0, -0.1))
# Create a mesh for the finite element modelling with appropriate mesh quality.
mesh = mt.createMesh(geom, quality=34)
# Create a map to set resistivity values in the appropriate regions
# [[regionNumber, resistivity], [regionNumber, resistivity], [...]
rhomap = [[0, 2000.], [1, 10.], [2, 50.], [3, 500.], [4, 2000.]]
# Optional: take a look at the mesh
pg.show(mesh, data=rhomap, label='Resistivity $(\Omega$m)', showMesh=True)
# Initialize the ERTManager (The class name is a subject to further change!)
ert = pb.ERTManager()
# Perform the modeling with the mesh and the measuring scheme itself
P15_6 = T3_3 * E2_2T * (2. * (T3_3 + E2_2T) + -3.) P15_7 = T6_4 * E2_1T P15_8 = T6_5 * E2_1T P15_9 = T6_6 * E2_1T P15_10 = T6_4 * E2_2T P15_11 = T6_5 * E2_2T P15_12 = T6_6 * E2_2T P15_13 = T3_1 * E3_3T P15_14 = T3_2 * E3_3T P15_15 = T3_3 * E3_3T pnts = g.stdVectorRVector3() # quad pnts.append(g.RVector3(0.0, 0.0)) pnts.append(g.RVector3(1.0, 0.0)) pnts.append(g.RVector3(1.0, 1.0)) pnts.append(g.RVector3(0.0, 1.0)) pnts.append(g.RVector3(0.5, 0.5)) #pnts.append( g.RVector3( 0.5, 0.0 ) ) #pnts.append( g.RVector3( 1.0, 0.5 ) ) #pnts.append( g.RVector3( 0.5, 1.0 ) ) #pnts.append( g.RVector3( 0.0, 0.5 ) ) ## tri #pnts.append( g.RVector3( 0.0, 0.0 ) ) #pnts.append( g.RVector3( 1.0, 0.0 ) ) #pnts.append( g.RVector3( 0.0, 1.0 ) ) #pnts.append( g.RVector3( 0.5, 0.0 ) ) #pnts.append( g.RVector3( 0.5, 0.5 ) )
def readEIDORSMesh(fileName, matlabVarname, verbose=False):
"""Reads finite element model in EIDORS format and returns pygimli mesh.
Parameters
----------
fileName : str
name of the .mat file containing the EIDORS model
matlabVarname : str
variable name of .mat file in MATLAB workspace
"""
if not pg.optImport("scipy", requiredFor="read EIDORS mesh."):
raise ImportError('cannot import sciyp')
import scipy.io as spio
def todict(matobj):
dict = {}
for strg in matobj._fieldnames:
elem = matobj.__dict__[strg]
if isinstance(elem, spio.matlab.mio5_params.mat_struct):
dict[strg] = todict(elem)
else:
dict[strg] = elem
return dict
def check_keys(dict):
for key in dict:
if isinstance(dict[key], spio.matlab.mio5_params.mat_struct):
dict[key] = todict(dict[key])
return dict
def loadmat(fileName):
data = spio.loadmat(fileName, struct_as_record=False, squeeze_me=True)
return check_keys(data)
def get_nested(data, *args):
if args and data:
element = args[0]
if element:
value = data.get(element)
return value if len(args) == 1 else get_nested(
value, *args[1:])
matlab_eidors = loadmat(fileName)
python_eidors = get_nested(matlab_eidors, matlabVarname)
# if input eidors data is forward model instead of an image
if 'nodes' in python_eidors.keys():
nodes = get_nested(python_eidors, "nodes")
elems = get_nested(python_eidors, "elems")
boundary_numbers = get_nested(python_eidors, "boundary_numbers")
# it is an image with elem_data and fwd_model
else:
nodes = get_nested(python_eidors, "fwd_model", "nodes")
elems = get_nested(python_eidors, "fwd_model", "elems")
boundary_numbers = get_nested(python_eidors, "fwd_model",
"boundary_numbers")
dim_nodes = np.size(nodes, 1)
dim_elems = np.size(elems, 1)
if verbose:
print('Reading %s... ' % fileName)
print('found %s %s-dimensional nodes... ' %
(np.size(nodes, 0), dim_nodes))
if dim_elems == 3 and verbose:
print('found %s triangles... ' % np.size(elems, 0))
elif dim_elems == 4 and verbose:
print('found %s tetrahedrons... ' % np.size(elems, 0))
if 'elem_data' in python_eidors.keys():
elem_data = get_nested(python_eidors, "elem_data")
if verbose:
print('found %s element data... ' % len(elem_data))
else:
if verbose:
print("found no element data... ")
region_markers = np.unique(boundary_numbers)
no_of_regions = len(region_markers)
if boundary_numbers is not None:
if verbose:
print('Found %s Unique Regions with Region Markers' %
no_of_regions)
print('%s' % region_markers)
if boundary_numbers is None:
if verbose:
print('Found no Unique Region with Region Markers')
# create nodes from eidors model
mesh = pg.Mesh()
# if two dimensional eidors model
if (dim_nodes == 2 and dim_elems == 3):
if verbose:
print('converting to %d-D pygimli mesh... ' % dim_nodes)
for i in range(len(nodes)):
mesh.createNode(pg.RVector3(nodes[i, 0], nodes[i, 1], 0.))
for i in range(len(elems)):
mesh.createTriangle(mesh.node(int(elems[i, 0]) - 1),
mesh.node(int(elems[i, 1]) - 1),
mesh.node(int(elems[i, 2]) - 1), 1)
# for non-planar 2D models
if (dim_nodes == 3 and dim_elems == 3):
if verbose:
print('converting to pygimli mesh...')
print('found 3d nodes with 2d elements')
for i in range(len(nodes)):
mesh.createNode(pg.RVector3(nodes[i, 0], nodes[i, 1], nodes[i, 2]))
for i in range(len(elems)):
mesh.createTriangle(mesh.node(int(elems[i, 0]) - 1),
mesh.node(int(elems[i, 1]) - 1),
mesh.node(int(elems[i, 2]) - 1), 1)
# if three dimensional eidors model
if (dim_nodes == 3 and dim_elems == 4):
if verbose:
print('converting to %d-D pygimli mesh... ' % dim_nodes)
for i in range(len(nodes)):
mesh.createNode(pg.RVector3(nodes[i, 0], nodes[i, 1], nodes[i, 2]))
for i in range(len(elems)):
mesh.createTetrahedron(mesh.node(int(elems[i, 0]) - 1),
mesh.node(int(elems[i, 1]) - 1),
mesh.node(int(elems[i, 2]) - 1),
mesh.node(int(elems[i, 3]) - 1), 1)
if boundary_numbers is not None:
mesh.setCellMarkers(boundary_numbers.astype(int))
return mesh
def createLine(start, end, segments, **kwargs):
"""Create simple line polygon.
Create simple line polygon from start to end.
Parameters
----------
start : [x, y]
start position
end : [x, y]
end position
segments : int
Discrete amount of segments for the line
**kwargs:
boundaryMarker : int [1]
Marker for the resulting boundary edges
leftDirection : bool [True]
Rotational direction
Returns
-------
poly : :gimliapi:`GIMLI::Mesh`
The resulting polygon is a :gimliapi:`GIMLI::Mesh`.
Examples
--------
>>> # no need to import matplotlib. pygimli's show does
>>> import pygimli as pg
>>> import pygimli.meshtools as mt
>>>
>>> w = mt.createWorld(start=[0, 0], end=[3, 3])
>>> l1 = mt.createLine(start=[1, 1], end=[1, 2], segments=1,
... leftDirection=False)
>>> l2 = mt.createLine(start=[1, 1], end=[2, 1], segments=20,
... leftDirection=True)
>>>
>>> ax, _ = pg.show(mt.createMesh([w, l1, l2,]))
>>> ax, _ = pg.show([w, l1, l2,], ax=ax)
>>> pg.wait()
"""
poly = pg.Mesh(2)
startPos = pg.RVector3(start)
endPos = pg.RVector3(end)
a = endPos - startPos
dt = 1. / segments
left = kwargs.pop('leftDirection', True)
for i in range(0, segments + 1):
if left:
p = startPos + a * (dt * i)
else:
p = endPos - a * (dt * i)
poly.createNode(p)
polyCreateDefaultEdges_(poly, isClosed=False, **kwargs)
return poly
def createParaMesh2DGrid(sensors, paraDX=1, paraDZ=1, paraDepth=0, nLayers=11,
boundary=-1, paraBoundary=2, **kwargs):
"""Create a grid style mesh for an inversion parameter mesh.
Create a grid style mesh for an inversion parameter mesh.
Return parameter grid for a given list of sensor positions.
Uses and forwards arguments to
:py:mod:`pygimli.meshtools.appendTriangleBoundary`.
Parameters
----------
sensors : list of RVector3 objects or data container with sensorPositions
Sensor positions. Must be sorted in positive x direction
paraDX : float, optional
Horizontal distance between sensors, relative regarding sensor
distance. Value must be greater than 0 otherwise 1 is assumed.
paraDZ : float, optional
Vertical distance to the first depth layer, relative regarding sensor
distance. Value must be greater than 0 otherwise 1 is assumed.
paraDepth : float, optional
Maximum depth for parametric domain, 0 (default) means 0.4 * maximum
sensor range.
nLayers : int, optional [11]
Number of depth layers.
boundary : int, optional [-1]
Boundary width to be appended for domain prolongation in absolute
para domain width.
Values lower than 0 force the boundary to be 4 times para domain width.
paraBoundary : int, optional [2]
Offset to the parameter domain boundary in absolute sensor spacing.
Returns
-------
mesh: :gimliapi:`GIMLI::Mesh`
Examples
--------
>>> import pygimli as pg
>>> import matplotlib.pyplot as plt
>>>
>>> from pygimli.meshtools import createParaMesh2DGrid
>>> mesh = createParaMesh2DGrid(sensors=pg.RVector(range(10)),
... boundary=1, paraDX=1,
... paraDZ=1, paraDepth=5)
>>> ax, _ = pg.show(mesh, markers=True, showMesh=True)
"""
mesh = pg.Mesh(2)
# maybe separate x y z and sort
if isinstance(sensors, np.ndarray) or isinstance(sensors, pg.RVector):
sensors = [pg.RVector3(s, 0) for s in sensors]
if isinstance(sensors, pg.DataContainer):
sensors = sensors.sensorPositions()
sensorX = pg.x(sensors)
eSpacing = abs(sensorX[1] - sensorX[0])
xmin = min(sensorX) - paraBoundary * eSpacing
xmax = max(sensorX) + paraBoundary * eSpacing
if paraDX == 0:
paraDX = 1.
if paraDZ == 0:
paraDZ = 1.
dx = paraDX
dz = paraDZ
if eSpacing > 0:
dx = eSpacing * paraDX
# dz = eSpacing * paraDZ # not really making sense
if paraDepth == 0:
paraDepth = 0.4 * (xmax - xmin)
# print(xmin, xmax, dx)
x = pg.utils.grange(xmin, xmax, dx=dx)
y = -pg.increasingRange(dz, paraDepth, nLayers)
mesh.createGrid(x, y)
mesh.setCellMarkers([2] * mesh.cellCount())
paraXLimits = [xmin, xmax]
# paraYLimits = [min(y), max(y)] # not used
if boundary < 0:
boundary = abs((paraXLimits[1] - paraXLimits[0]) * 4.0)
mesh = pg.meshtools.appendTriangleBoundary(
mesh, xbound=boundary, ybound=boundary, marker=1, **kwargs)
return mesh
def streamlineDir(mesh,
field,
startCoord,
dLengthSteps,
dataMesh=None,
maxSteps=1000,
down=True,
verbose=False,
koords=(0, 1)):
"""
down = -1, up = 1, both = 0
"""
xd = []
yd = []
vd = []
counter = 0
pot = None
vx = None
vy = None
isVectorData = False
if hasattr(field[0], '__len__'):
if min(field[:, 0]) == max(field[:, 0]) and \
min(field[:, 1]) == max(field[:, 1]):
raise BaseException("No data range streamline: min/max == ",
min(field[:, 0]))
vx = pg.RVector(field[:, 0])
vy = pg.RVector(field[:, 1])
isVectorData = True
else:
if min(field) == max(field):
raise BaseException("No data range for streamline: min/max == ",
min(field))
if dataMesh is not None:
if len(field) == dataMesh.nodeCount():
pot = pg.RVector(field)
elif len(field) == dataMesh.cellCount():
pot = pg.cellDataToPointData(dataMesh, field)
else:
raise BaseException(
"Data length (%i) for streamline is "
"neighter nodeCount (%i) nor cellCount (%i)" %
(len(field), dataMesh.nodeCount(), dataMesh.nodeCount()))
else:
if len(field) == mesh.nodeCount():
pot = pg.RVector(field)
elif len(field) == mesh.cellCount():
pot = pg.cellDataToPointData(mesh, field)
else:
raise BaseException(
"Data length (%i) for streamline is "
"neighter nodeCount (%i) nor cellCount (%i)" %
(len(field), mesh.nodeCount(), mesh.nodeCount()))
direction = 1
if down:
direction = -1
# search downward
pos = pg.RVector3(startCoord)
c = mesh.findCell(startCoord)
dLength = c.center().dist(c.node(0).pos()) / dLengthSteps
# stream line starting point
if c is not None:
xd.append(pos[koords[0]])
yd.append(pos[koords[1]])
vd.append(-1)
lastC = c
lastU = -direction * 1e99
d = None
while c is not None and len(xd) < maxSteps:
# valid .. temporary check if there is already a stream within the cell
if not c.valid():
break
if isVectorData:
u = 0.
if len(vx) == mesh.cellCount():
d = pg.RVector3(vx[c.id()], vy[c.id()])
elif len(vx) == mesh.nodeCount():
d = pg.RVector3(c.pot(pos, vx), c.pot(pos, vy))
elif dataMesh:
cd = dataMesh.findCell(pos)
if cd is None:
raise BaseException("Cannot find " + str(pos) +
" dataMesh")
if len(vx) == dataMesh.cellCount():
d = pg.RVector3(vx[cd.id()], vy[cd.id()])
elif len(vx) == dataMesh.nodeCount() and \
len(vy) == dataMesh.nodeCount():
d = pg.RVector3(cd.pot(pos, vx), cd.pot(pos, vy))
else:
print(dataMesh)
print(len(vx), len(vy))
raise BaseException("data size wrong")
else:
raise Exception
else:
if dataMesh:
cd = dataMesh.findCell(pos)
if not cd:
break
d = cd.grad(pos, pot)
u = cd.pot(pos, pot)
else:
d = c.grad(pos, pot)
u = c.pot(pos, pot)
# print "cell:", c.id(), u
# always go u down
dAbs = d.length()
if dAbs == 0.0:
print(
d,
"check this in streamlineDir(",
)
break
if down:
if u > lastU:
break
else:
if u < lastU:
break
# * min(1.0, ((startCoord - pos).length()))
pos += direction * d / dAbs * dLength
c = mesh.findCell(pos, False)
# Change cell here .. set old cell to be processed
if c is not None:
xd.append(pos[koords[0]])
yd.append(pos[koords[1]])
# set the stating value here
if vd[0] == -1:
vd[0] = dAbs
vd.append(dAbs)
# If the new cell is different from the current we move into the
# new cell and make the last to be invalid ..
# the last active contains a stream element
if c.id() != lastC.id():
lastC.setValid(False)
lastC = c
dLength = c.center().dist(c.node(0).pos()) / dLengthSteps
else:
# There is no new cell .. the last active contains a stream element
lastC.setValid(False)
lastU = u
if verbose:
print(pos, u)
# Stream line has stopped and the current cell (if there is one) ..
# .. contains a stream element
if c is not None:
c.setValid(False)
if down:
xd.reverse(), yd.reverse(), vd.reverse()
return xd, yd, vd
def solveGravimetry(mesh, dDensity=None, pnts=None, complete=False):
r"""Solve gravimetric response.
2D with :py:mod:`pygimli.physics.gravimetry.lineIntegralZ_WonBevis`
3D with :py:mod:`pygimli.physics.gravimetry.gravMagBoundarySinghGup`
TOWRITE
Parameters
----------
mesh : :gimliapi:`GIMLI::Mesh`
2d or 3d mesh with or without cells.
dDensity : float | array
Density difference.
* float -- solve for positive boundary marker only.
Assuming one inhomogeneity.
* [[int, float]] -- solve for multiple positive boundaries TOIMPL
* array -- solve for one delta density value per cell
* None -- return per cell kernel matrix G TOIMPL
pnts : [[x_i, y_i]]
List of measurement positions.
complete : bool [False]
If True return whole solution or matrix for [dgx, dgy, dgz] and ...
TODO
Returns
-------
"""
if pnts is None:
pnts = [[0.0, 0.0]]
mesh.createNeighbourInfos()
Gdg = None
Gdgz = None
dg = None
dgz = None
if complete:
Gdg = np.zeros((len(pnts), mesh.cellCount(), 3))
Gdgz = np.zeros((len(pnts), mesh.cellCount(), 3))
dg = np.zeros((len(pnts), 3))
dgz = np.zeros((len(pnts), 3))
else:
dg = np.zeros(len(pnts))
Gdg = np.zeros((len(pnts), mesh.cellCount()))
dgi = None
dgzi = None
for i, p in enumerate(pnts):
mesh.translate(-pg.RVector3(p))
for b in mesh.boundaries():
if b.marker() != 0 or hasattr(dDensity, '__len__') or \
dDensity is None:
if mesh.dimension() == 2:
# tic = time.time()
if complete:
dgi, dgzi = lineIntegralZ_WonBevis(b.node(0).pos(),
b.node(1).pos())
# times.append(time.time() - tic)
dgi *= -2.0
dgzi *= -2.0
else:
dgi = pg.lineIntegralZ_WonBevis(b.node(0).pos(),
b.node(1).pos())
dgi *= -2.0 * G
else:
if complete:
dgi, dgzi = gravMagBoundarySinghGup(b)
else:
raise Exception("TOIMPL")
if complete:
dgi *= [1.0, 1.0, -1.0]
dgi *= -G
dgzi *= -G
if hasattr(dDensity, '__len__') or dDensity is None:
cl = b.leftCell()
cr = b.rightCell()
if cl:
Gdg[i][cl.id()] += dgi
if complete:
Gdgz[i][cl.id()] += dgzi
if cr:
Gdg[i][cr.id()] -= dgi
if complete:
Gdgz[i][cr.id()] -= dgzi
else:
dg[i] += dgi * dDensity
if complete:
dgz[i] += dgzi * dDensity
mesh.translate(pg.RVector3(p))
# import matplotlib.pyplot as plt
# print("times:", sum(times), np.mean(times))
# plt.plot(times)
if dDensity is None:
if complete:
return Gdg.transpose([0, 2, 1]), Gdgz.transpose([0, 2, 1])
return Gdg
elif hasattr(dDensity, '__len__'):
if complete:
dg = Gdg.transpose([0, 2, 1]).dot(dDensity)
dgz = Gdgz.transpose([0, 2, 1]).dot(dDensity)
return dg, dgz
else:
return Gdg.dot(dDensity)
if complete:
return dg, dgz
return dg
def diff(v):
"""Calculate approximate derivative.
Calculate approximate derivative from v as d = [v_1-v_0, v2-v_1, ...]
Parameters
----------
v : array(N) | pg.R3Vector(N)
Array of double values or positions
Returns
-------
d : [type(v)](N-1) |
derivative array
Examples
--------
>>> import pygimli as pg
>>> from pygimli.utils import diff
>>> p = pg.R3Vector(4)
>>> p[0] = [0.0, 0.0]
>>> p[1] = [0.0, 1.0]
>>> print(diff(p)[0])
RVector3: (0.0, 1.0, 0.0)
>>> print(diff(p)[1])
RVector3: (0.0, -1.0, 0.0)
>>> print(diff(p)[2])
RVector3: (0.0, 0.0, 0.0)
>>> p = pg.RVector(3)
>>> p[0] = 0.0
>>> p[1] = 1.0
>>> p[2] = 2.0
>>> print(diff(p))
<class 'pygimli.core._pygimli_.RVector'> 2 [1.0, 1.0]
"""
d = None
if isinstance(v, np.ndarray):
if v.ndim == 2:
if v.shape[1] < 4:
#v = pg.R3Vector(v.T)
vt = v.copy()
v = pg.R3Vector(len(vt))
for i, vi in enumerate(vt):
#print(i, vi)
v.setVal(pg.RVector3(vi), i)
else:
v = pg.R3Vector(v)
else:
v = pg.RVector(v)
elif isinstance(v, list):
v = pg.R3Vector(v)
if isinstance(v, pg.R3Vector) or isinstance(v, pg.stdVectorRVector3):
d = pg.R3Vector(len(v) - 1)
else:
d = pg.RVector(len(v) - 1)
for i, _ in enumerate(d):
d[i] = v[i + 1] - v[i]
return d
def createRectangle(start=None, end=None, pos=None, size=None, **kwargs):
"""Create rectangle polygon.
Create rectangle with start position and a given size.
Give either start and end OR pos and size.
Parameters
----------
start : [x, y]
Left upper corner. Default [-0.5, 0.5]
end : [x, y]
Right lower corner. Default [0.5, -0.5]
pos : [x, y]
Center position. The rectangle will be moved.
size : [x, y]
Factors for x and y by which the rectangle, defined by **start** and
**width**, are scaled.
**kwargs:
marker : int [1]
Marker for the resulting triangle cells after mesh generation
markerPosition : floats [x, y] [pos + (end - start) * 0.2]
Absolute position of the marker (works for both regions and
holes).
area : float [0]
Maximum cell size for resulting triangles after mesh generation
boundaryMarker : int [1]
Marker for the resulting boundary edges
leftDirection : bool [True]
TODO Rotational direction
isHole : bool [False]
The polygon will become a hole instead of a triangulation
isClosed : bool [True]
Add closing edge between last and first node.
Returns
-------
poly : :gimliapi:`GIMLI::Mesh`
The resulting polygon is a :gimliapi:`GIMLI::Mesh`.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import pygimli as pg
>>> from pygimli.meshtools import createRectangle
>>> rectangle = createRectangle(start=[4, -4], end=[6, -6],
... marker=4, area=0.1)
>>> _ = pg.show(rectangle)
>>> import matplotlib.pyplot as plt
>>> import pygimli as pg
>>> from pygimli.meshtools import createRectangle
>>> rectangle = createRectangle(pos=[5, -5], size=[2, 2],
... marker=4, area=0.1)
>>> _ = pg.show(rectangle)
"""
if start is None:
start = [-0.5, 0.5]
if end is None:
end = [0.5, -0.5]
poly = pg.Mesh(dim=2, isGeometry=True)
sPos = pg.RVector3(start)
ePos = pg.RVector3(end)
verts = [sPos, [sPos[0], ePos[1]], ePos, [ePos[0], sPos[1]]]
#TODO refactor with polyCreatePolygon
if kwargs.pop("leftDirection", False):
for v in verts[::-1]:
poly.createNode(v)
else:
for v in verts:
poly.createNode(v)
markerposition = kwargs.pop('markerPosition', None)
def addMarker(mposition):
# use defaults
if mposition is None:
mposition = sPos + (ePos - sPos) * 0.2
if kwargs.pop('isHole', False):
poly.addHoleMarker(mposition)
else:
poly.addRegionMarker(mposition,
marker=kwargs.pop('marker', 1),
area=kwargs.pop('area', 0))
# if the user supplies an absolute marker position, we need to add it after
# transforming the polygon
marker_added = False
if markerposition is None:
addMarker(markerposition)
marker_added = True
# Note that we do not support the usage of start/end AND size/pos. Only one
# of the pairs. Otherwise strange things will happen with the region
# markers!
if size is not None:
poly.scale(size)
if pos is not None:
poly.translate(pos)
if not marker_added:
addMarker(markerposition)
polyCreateDefaultEdges_(poly, **kwargs)
return poly
def createParaMeshPLC(sensors, paraDX=1, paraDepth=0, paraBoundary=2,
paraMaxCellSize=0.0, boundary=-1, boundaryMaxCellSize=0,
**kwargs):
"""Create a PLC mesh for an inversion parameter mesh.
Create a PLC mesh for an inversion parameter mesh with for a given list of
sensor positions. Sensor positions are assumed to lie on the surface and
must be sorted and unique.
You can create a parameter mesh without sensors by setting [xmin, xmax]
as sensors.
The PLC is a :gimliapi:`GIMLI::Mesh` and contains nodes, edges and 2 region
markers, one for the parameters domain (marker=2) and a larger boundary
around the outside (marker=1)
TODO:
* closed domains (boundary == 0)
* additional topopoints
* spline interpolations between sensorpoints or addpoints
* subsurface sensors (partly .. see example)
Parameters
----------
sensors : [RVector3] | DataContainer with sensorPositions() | [xmin, xmax]
Sensor positions. Must be sorted and unique in positive x direction.
Depth need to be y-coordinate.
paraDX : float [1]
Relativ distance for refinement nodes between two sensors (1=none),
e.g., 0.5 means 1 additional node between two neighboring sensors
e.g., 0.33 means 2 additional equidistant nodes between two sensors
paraDepth : float, optional
Maximum depth for parametric domain, 0 (default) means 0.4 * maximum
sensor range.
paraBoundary : float, optional
Margin for parameter domain in absolute sensor distances. 2 (default).
paraMaxCellSize: double, optional
Maximum size for parametric size in m*m
boundaryMaxCellSize: double, optional
Maximum cells size in the boundary region in m*m
boundary : float, optional
Boundary width to be appended for domain prolongation in absolute
para domain width.
Values lover 0 force the boundary to be 4 times para domain width.
Returns
-------
poly: :gimliapi:`GIMLI::Mesh`
piecewise linear complex (PLC) containing nodes and edges
Examples
--------
>>> # no need to import matplotlib. pygimli's show does
>>> import pygimli as pg
>>> import pygimli.meshtools as plc
>>> # Create the simplest paramesh PLC with a para box of 10 m without
>>> # sensors
>>> p = plc.createParaMeshPLC([0,10])
>>> # you can add subsurface sensors now with
>>> for z in range(1,4):
... n = p.createNode((5,-z), -99)
>>> ax,_ = pg.show(p)
"""
noSensors = False
if hasattr(sensors, 'sensorPositions'): # obviously a DataContainer type
sensors = sensors.sensorPositions()
elif isinstance(sensors, np.ndarray):
if sensors.ndim == 1:
sensors = [pg.RVector3(s, 0) for s in sensors]
else: # assume 2d array with 2 or 3 values per item
sensors = [pg.RVector3(s) for s in sensors]
elif isinstance(sensors, list):
if len(sensors) == 2:
# guess we have just a desired Pbox with
sensors = [pg.RVector3(sensors[0], 0.0),
pg.RVector3(sensors[1], 0.0)]
noSensors = True
paraBoundary = 0
eSpacing = kwargs.pop('eSpacing', sensors[0].distance(sensors[1]))
iz = 1
xmin, ymin, zmin = sensors[0][0], sensors[0][1], sensors[0][2]
xmax, ymax, zmax = xmin, ymin, zmin
for e in sensors:
xmin = min(xmin, e[0])
xmax = max(xmax, e[0])
ymin = min(ymin, e[1])
ymax = max(ymax, e[1])
zmin = min(zmin, e[2])
zmax = max(zmax, e[2])
if abs(ymin) < 1e-8 and abs(ymax) < 1e-8:
iz = 2
paraBound = eSpacing * paraBoundary
if paraDepth == 0:
paraDepth = 0.4 * (xmax - xmin)
poly = pg.Mesh(dim=2, isGeometry=True)
# define para domain without surface
n1 = poly.createNode([xmin - paraBound, sensors[0][iz]])
n2 = poly.createNode([xmin - paraBound, sensors[0][iz] - paraDepth])
n3 = poly.createNode([xmax + paraBound, sensors[-1][iz] - paraDepth])
n4 = poly.createNode([xmax + paraBound, sensors[-1][iz]])
if boundary < 0:
boundary = 4
bound = abs(xmax - xmin) * boundary
if bound > paraBound:
# define world without surface
n11 = poly.createNode(n1.pos() - [bound, 0.])
n12 = poly.createNode(n11.pos() - [0., bound + paraDepth])
n14 = poly.createNode(n4.pos() + [bound, 0.])
n13 = poly.createNode(n14.pos() - [0., bound + paraDepth])
poly.createEdge(n1, n11, pg.MARKER_BOUND_HOMOGEN_NEUMANN)
poly.createEdge(n11, n12, pg.MARKER_BOUND_MIXED)
poly.createEdge(n12, n13, pg.MARKER_BOUND_MIXED)
poly.createEdge(n13, n14, pg.MARKER_BOUND_MIXED)
poly.createEdge(n14, n4, pg.MARKER_BOUND_HOMOGEN_NEUMANN)
poly.addRegionMarker(n12.pos() + [1e-3, 1e-3], 1, boundaryMaxCellSize)
poly.createEdge(n1, n2, 1)
poly.createEdge(n2, n3, 1)
poly.createEdge(n3, n4, 1)
poly.addRegionMarker(n2.pos() + [1e-3, 1e-3], 2, paraMaxCellSize)
# define surface
nSurface = []
nSurface.append(n1)
if paraDX == 0.0:
paraDX = 1.0
if not noSensors:
for i, e in enumerate(sensors):
if iz == 2:
e.rotateX(-math.pi / 2)
if paraDX >= 0.5:
nSurface.append(poly.createNode(e, pg.MARKER_NODE_SENSOR))
if i < len(sensors) - 1:
e1 = sensors[i + 1]
if iz == 2:
e1.rotateX(-math.pi / 2)
nSurface.append(poly.createNode((e + e1) * 0.5))
# print("Surface add ", e, el, nSurface[-2].pos(),
# nSurface[-1].pos())
elif paraDX < 0.5:
if i > 0:
e1 = sensors[i - 1]
if iz == 2:
e1.rotateX(-math.pi / 2)
nSurface.append(poly.createNode(e - (e - e1) * paraDX))
nSurface.append(poly.createNode(e, pg.MARKER_NODE_SENSOR))
if i < len(sensors) - 1:
e1 = sensors[i + 1]
if iz == 2:
e1.rotateX(-math.pi / 2)
nSurface.append(poly.createNode(e + (e1 - e) * paraDX))
# print("Surface add ", nSurface[-3].pos(), nSurface[-2].pos(),
# nSurface[-1].pos())
nSurface.append(n4)
for i in range(len(nSurface) - 1, 0, -1):
poly.createEdge(nSurface[i], nSurface[i - 1],
pg.MARKER_BOUND_HOMOGEN_NEUMANN)
# print(poly)
# pg.meshtools.writePLC(poly, "test.poly")
# pg.show(poly)
# pg.wait()
return poly
else:
model_vector_s.append(nan)
model_data=pb.pg.RVector(model_vector)
model_data_s=pb.pg.RVector(model_vector_s)
#72x1 DD -------------------------------------------------------------
world_72_dd=world
scheme72_dd = pb.createData(elecs=pg.utils.grange(start=0, end=71, n=72),
schemeName='dd')
for pos in scheme72_dd.sensorPositions():
world_72_dd.createNode(pos)
world_72_dd.createNode(pos + pg.RVector3(0, -0.1))
mesh_72x1_dd= mt.createMesh(world_72_dd, quality=34)
#forward modelling
data_72x1_dd=pb.simulate(mesh_72x1_dd,res=rhomap,scheme=scheme72_dd,noise=noise, verbose=True)
#inversion
ert_72x1_dd=pb.ERTManager(data_72x1_dd)
inversion_72x1_dd=ert_72x1_dd.invert(quality=quality, maxCellArea=maxCellArea, robustData=robustData, lam=lam,paraDX=paraDX)
max_72x1_dd= np.max(inversion_72x1_dd)
inversion_mesh_72x1_dd=ert_72x1_dd.paraDomain
def test2d():
mesh = pg.Mesh('mesh/world2d.bms')
print(mesh)
xMin = mesh.boundingBox().min()[0]
yMax = mesh.boundingBox().max()[0]
x = np.arange(xMin, yMax, 1.)
mesh.createNeighbourInfos()
rho = pg.RVector(len(mesh.cellAttributes()), 1.) * 2000.0
rho.setVal(0.0, pg.find(mesh.cellAttributes() == 1.0))
swatch = pg.Stopwatch(True)
pnts = []
spnts = pg.stdVectorRVector3()
for i in x:
pnts.append(pg.RVector3(i, 0.0001))
spnts.append(pg.RVector3(i, 0.0001))
# gzC, GC = calcGCells(pnts, mesh, rho, 1)
gzC = pg.calcGCells(spnts, mesh, rho, 1)
print("calcGCells", swatch.duration(True))
# gzB, GB = calcGBounds(pnts, mesh, rho)
# gzB = pg.calcGBounds(spnts, mesh, rho)
# print("calcGBounds", swatch.duration(True))
gZ_Mesh = gzC
ax1, ax2 = getaxes()
# sphere analytical solution
gAna = analyticalCircle2D(spnts,
radius=2.0,
pos=pg.RVector3(0.0, -5.0),
dDensity=2000)
gAna2 = analyticalCircle2D(spnts,
radius=2.0,
pos=pg.RVector3(5.0, -5.0),
dDensity=2000)
gAna = gAna + gAna2
ax1.plot(x, gAna, '-x', label='analytical')
ax1.plot(x, gZ_Mesh, label='WonBevis1987-mesh')
print(gAna / gZ_Mesh)
# rho=GB[0]/mesh.cellSizes()
drawModel(ax2, mesh, rho)
for i in (0, 1):
drawSelectedMeshBoundaries(ax2,
mesh.findBoundaryByMarker(i),
color=(1.0, 1.0, 1.0, 1.0),
linewidth=0.3)
# sphere polygone
radius = 2.
depth = 5.
poly1 = pg.stdVectorRVector3()
poly2 = pg.stdVectorRVector3()
nSegment = 124
for i in range(nSegment):
xp = np.sin((i + 1) * (2. * np.pi) / nSegment)
yp = np.cos((i + 1) * (2. * np.pi) / nSegment)
poly1.append(pg.RVector3(xp * radius, yp * radius - depth))
poly2.append(pg.RVector3(xp * radius + 5., yp * radius - depth))
gZ_Poly = calcPolydgdz(spnts, poly1, 2000)
gZ_Poly += calcPolydgdz(spnts, poly2, 2000)
ax1.plot(x, gZ_Poly, label='WonBevis1987-Poly')
ax2.plot(pg.x(poly1), pg.y(poly1), color='red')
ax2.plot(pg.x(poly2), pg.y(poly2), color='red')
ax2.plot(pg.x(spnts), pg.y(spnts), marker='x', color='black')
# test some special case
for i, p in enumerate(poly1):
poly1[i] = pg.RVector3(poly1[i] - pg.RVector3(5.0, -6.))
ax2.plot(pg.x(poly1), pg.y(poly1), color='green')
gz = calcPolydgdz(spnts, poly1, 2000)
ax1.plot(x, gz, label='Special Case', color='green')
ax1.set_ylabel('dg/dz [mGal]')
ax2.set_ylabel('Tiefe [m]')
ax1.legend()
ax2.set_xlim([x[0], x[-1]])
ax2.grid()
def calcApparentResistivities(mesh, meshERT, poro, rhoBrine):
ert = ERT(verbose=False)
meshFOP = appendTriangleBoundary(meshERT,
xbound=50,
ybound=50,
marker=1,
quality=34.0,
smooth=False,
markerBoundary=1,
isSubSurface=False,
verbose=False)
swatch = pg.Stopwatch(True)
print("res 1:", swatch.duration(True))
resis = resistivityArchie(rBrine=rhoBrine,
porosity=poro,
S=1.0,
mesh=mesh,
meshI=meshFOP)
print("res 2:", swatch.duration(True))
ertPointsX = [pg.RVector3(x, 0) for x in np.arange(-19, 19.1, 1)]
ertScheme = ert.createData(ertPointsX, scheme="Dipole Dipole (CC-PP)")
solutionName = createCacheName('appRes', mesh) + "-" + str(
ertScheme.size()) + "-" + str(len(rhoBrine))
try:
rhoa = np.load(solutionName + '.bmat.npy')
ertData = pb.DataContainerERT(solutionName + '.dat')
except Exception as e:
print(e)
print("Building .... ")
rhoa = np.zeros((len(resis), ertScheme.size()))
ertScheme.set('k', pb.geometricFactor(ertScheme))
ertData = ert.simulate(meshFOP, resis[0], ertScheme)
errPerc = 1
errVolt = 1e-5
voltage = ertData('rhoa') / ertData('k')
ertData.set('err', pg.abs(errVolt / voltage) + errPerc / 100.0)
print('err min:',
min(ertData('err')) * 100, 'max:',
max(ertData('err')) * 100)
ertData.save(solutionName + '.dat', 'a b m n rhoa err k')
#sys.exit()
for i in range(0, len(resis)):
tic = time.time()
rhoa[i] = ert.fop.response(resis[i])
rand = pg.RVector(len(rhoa[i]))
pg.randn(rand)
rhoa[i] *= (1.0 + rand * ertData('err'))
print(i, "/", len(resis), " : ",
time.time() - tic, "s", "min:", min(resis[i]), "max:",
max(resis[i]), "min:", min(rhoa[i]), "max:", max(rhoa[i]))
np.save(solutionName + '.bmat', rhoa)
return meshFOP, resis, ertData, rhoa
nodes.append(plc.createNode(xmin, -zlay * 2, 0.)) # 5
nodes.append(plc.createNode(xmin, -zlay, 0.)) # 6
###############################################################################
# The nodes are connected from from 0 to 6 and back to 0.
# An additional edge is drawn from 6 to 3. Node/edge markers do not matter.
for i in range(6):
plc.createEdge(nodes[i], nodes[i + 1])
plc.createEdge(nodes[6], nodes[0])
plc.createEdge(nodes[6], nodes[3])
###############################################################################
# We insert region markers (0 and 1) into the two layers and generate the mesh.
tri = pg.TriangleWrapper(plc)
plc.addRegionMarker(pg.RVector3(0., -zlay + .1), 0, 3.) # 10m^2 max area
plc.addRegionMarker(pg.RVector3(0., -zlay - .1), 1, 10.)
tri.setSwitches('-pzeAfaq34.6')
mesh = pg.Mesh(2)
tri.generate(mesh)
mesh.createNeighbourInfos()
print(mesh)
###############################################################################
# Next we generate a velocity model from the markers by using a map.
# The values are associated to the markers and stored as attributes.
v = [1000., 3000.]
slomap = pg.stdMapF_F() # mapping markers to real slowness values
for i, vi in enumerate(v):
slomap.insert(i, 1. / vi)
nodes.append(plc.createNode(xmin, 0., 0.))
nodes.append(plc.createNode(xmax, 0., 0.))
nodes.append(plc.createNode(xmax, -zlay, 0.))
nodes.append(plc.createNode(xmax, -zlay * 2, 0.))
nodes.append(plc.createNode(xmin, -zlay * 2, 0.))
nodes.append(plc.createNode(xmin, -zlay, 0.))
# connect the nodes
for i in range(5):
plc.createEdge(nodes[i], nodes[i + 1])
plc.createEdge(nodes[5], nodes[0])
plc.createEdge(nodes[5], nodes[2])
# insert region markers into the two layers and make mesh
tri = pg.TriangleWrapper(plc)
plc.addRegionMarker(pg.RVector3(0., -zlay + .1), 0, 3.) # 10m^2 max area
plc.addRegionMarker(pg.RVector3(0., -zlay - .1), 1, 10.)
tri.setSwitches('-pzeAfaq34.6')
mesh = pg.Mesh(2)
tri.generate(mesh)
mesh.createNeighbourInfos()
print(mesh)
# make velocity model
v = [1000., 3000.]
slomap = pg.stdMapF_F() # map for mapping real slowness values
for i, vi in enumerate(v):
slomap.insert(i, 1. / vi)
mesh.mapCellAttributes(slomap) # map values to attributes using map
def _createParameterContraintsLines(mesh, cMat, cWeight=None):
"""TODO Documentme."""
C = pg.RMatrix()
if isinstance(cMat, pg.SparseMapMatrix):
cMat.save('tmpC.matrix')
pg.loadMatrixCol(C, 'tmpC.matrix')
else:
C = cMat
paraMarker = mesh.cellMarkers()
cellList = dict()
for cID in range(len(paraMarker)):
if cID not in cellList:
cellList[cID] = []
cellList[cID].append(mesh.cell(cID))
paraCenter = dict()
for cID, vals in list(cellList.items()):
p = pg.RVector3(0.0, 0.0, 0.0)
for c in vals:
p += c.center()
p /= float(len(vals))
paraCenter[cID] = p
nConstraints = C[0].size()
start = []
end = []
# swatch = pg.Stopwatch(True) # not used
for i in range(0, int(nConstraints / 2)):
# print i
# if i == 1000: break;
idL = int(C[1][i * 2])
idR = int(C[1][i * 2 + 1])
# leftCells = []
# rightCells = []
# for c, index in enumerate(paraMarker):
# if idL == index:
# leftCells.append(mesh.cell(c))
# if idR == index:
# rightCells.append(mesh.cell(c))
# p1 = pg.RVector3(0.0,0.0);
# for c in leftCells:
# p1 += c.center()
# p1 /= float(len(leftCells))
# p2 = pg.RVector3(0.0,0.0);
# for c in rightCells:
# p2 += c.center()
# print cWeight[i]
# p2 /= float(len(rightCells))
p1 = paraCenter[idL]
p2 = paraCenter[idR]
if cWeight is not None:
pa = pg.RVector3(p1 + (p2 - p1) / 2.0 * (1.0 - cWeight[i]))
pb = pg.RVector3(p2 + (p1 - p2) / 2.0 * (1.0 - cWeight[i]))
else:
pa = p1
pb = p2
start.append(pa)
end.append(pb)
# updateAxes_(ax) # not existing
return start, end
comp_scheme = su.merge_schemes(comp_scheme, scheme_tmp, folder + 'tmp/')
for i in range(1, len(schemes)):
scheme_tmp = pb.createData(elecs=comp_electrodes[0], schemeName=schemes[i])
for j in range(1, len(comp_electrodes)):
scheme_tmp2 = pb.createData(elecs=comp_electrodes[j],
schemeName=schemes[i])
scheme_tmp = su.merge_schemes(scheme_tmp, scheme_tmp2, folder + 'tmp/')
comp_scheme = su.merge_schemes(comp_scheme, scheme_tmp, folder + 'tmp/')
scheme = comp_scheme
# create mesh
spacing = scheme.sensorPositions()[1][0] - scheme.sensorPositions()[0][0]
for pos in scheme.sensorPositions():
world.createNode(pos)
world.createNode(pos + pg.RVector3(0, -spacing / 2))
# create mesh from world
mesh = mt.createMesh(world, quality=config.sim_mesh_quality)
# create inversion mesh
sensor_distance = scheme.sensorPositions()[1][0] - scheme.sensorPositions(
)[0][0]
para_dx = config.inv_final_dx / sensor_distance
para_dz = config.inv_final_dz / sensor_distance
n_layers = int(config.inv_depth / config.inv_final_dz)
inv_mesh = mt.createParaMesh2DGrid(sensors=scheme.sensorPositions(),
paraDX=para_dx,
paraDZ=para_dz,
paraDepth=config.inv_final_depth,
nLayers=n_layers)
def drawShapes( ax, mesh, u ):
#ax.set_aspect( 'equal' )
N = 11
mesh3 = g.createMesh3D( g.asvector( np.linspace( 0, 1, N ) ),
g.asvector( np.linspace( 0, 1, N ) ),
g.asvector( np.linspace( 0, 1, N ) ) )
uc = g.RVector( mesh3.nodeCount( ) )
grads = g.stdVectorRVector3( )
pnts = g.stdVectorRVector3( )
c = mesh.cell( 0 )
imax=g.find( u == max( u ) )[0]
N = c.createShapeFunctions()[ imax ]
print imax, N
# print imax, c.shape().createShapeFunctions()[imax]
for i in range( c.nodeCount() ):
print c.rst( i ), N( c.rst( i ) )
# draw nodes
for i in range( c.nodeCount() ):
col = 'black'
if i == imax:
col = 'red'
#ax.plot( [c.node( i ).pos()[0], c.node( i ).pos()[0] ],
#[c.node( i ).pos()[1], c.node( i ).pos()[1] ],
#[c.node( i ).pos()[2], c.node( i ).pos()[2] ],
#'.', markersize = 15, linewidth=0, color=col )
newNode = []
for i in range( mesh3.nodeCount( ) ):
p = c.shape().xyz( mesh3.node( i ).pos() )
newNode.append( p )
#ax.plot( p[0], p[1], '.', zorder=10, color='black', markersize = 1 )
if not c.shape().isInside( p ):
uc[ i ] = -99.0
grads.append( g.RVector3( 0.0, 0.0 ) )
continue
uc[ i ] = c.pot( p, u )
gr = c.grad( p, u ).normalise()
grads.append( gr )
#ax.plot( [ p[ 0 ], p[ 0 ] + gr[ 0 ]*0.1 ],
#[ p[ 1 ], p[ 1 ] + gr[ 1 ]*0.1 ],
#[ p[ 2 ], p[ 2 ] + gr[ 2 ]*0.1 ], '-', color='black' )
#pnts.append( p )
#print len(pnts)
#Z = np.ma.masked_where( uc == -99., uc )
##ax.plot( g.x(pnts), g.y(pnts), g.z(pnts), '.' )
for i, n in enumerate( mesh3.nodes() ):
n.setPos( newNode[ i ] )
mesh3.addExportData( 'u', uc.setVal( 0.0, g.find( uc == -99 ) ) )
name = 'cell' + str( c.nodeCount() ) + '-' + str( imax )
print "write ", name
mesh3.exportVTK( name, grads )
def _trace_back(self, sensor_idx, source_idx, epsilon=1e-5):
"""
Traces a ray backwards through the mesh from a particular sensor
towards the seismic source.
"""
msh = self.mesh()
self.poslist = []
self._jac[source_idx] = np.zeros((msh.cellCount()))
pos_offset = pg.RVector3(0., epsilon, 0.)
sensor_pos = self.data().sensorPosition(sensor_idx)
source_pos = self.data().sensorPosition(source_idx)
source_node = msh.findNearestNode(source_pos)
current_cell = msh.findCell(sensor_pos - pos_offset)
new_cell = current_cell
ray_origin = sensor_pos - pos_offset
was_on_edge = False
while ray_origin.dist(source_pos) > epsilon:
self.poslist.append(ray_origin)
if new_cell is None:
print("Ended up outside mesh!")
print("Last valid cell: {}".format(current_cell))
break
# other_boundary = pg.findBoundary(
# current_cell.node((node_idx+2)%nnodes),
# current_cell.node((node_idx+1)%nnodes))
# new_cell = self._get_new_cell(other_boundary, current_cell)
# gradient = current_cell.node((node_idx+1)%nnodes).pos() -
# current_cell.node(node_idx).pos()
else:
old_cell_id = current_cell.id() # going to slower cell
# if new_cell.attribute() > current_cell.attribute():
# gradient = current_cell.grad(current_cell.center(),
# self.timefields[source_idx])
# else:
# gradient = new_cell.grad(current_cell.center(),
# self.timefields[source_idx])
current_cell = new_cell
if not was_on_edge:
gradient = current_cell.grad(
current_cell.center(), self.timefields[source_idx])
else:
was_on_edge = False
print("Current cell: {}".format(current_cell.id()))
# gradient = current_cell.grad(current_cell.center(),
# self.timefields[source_idx])
# gradient_norm = -gradient / gradient.length()
gradient_norm = -gradient.norm()
nnodes = current_cell.nodeCount()
params = np.zeros((nnodes, 2))
gradient_line = pg.Line(ray_origin, ray_origin + gradient_norm)
for i in range(nnodes):
if current_cell.node(i).id() == source_node:
print("cell closest to source")
params[i, :] = [ray_origin.dist(source_pos), i]
break
edge = pg.Line(current_cell.node(i).pos(),
current_cell.node((i+1) % nnodes).pos())
# print("Grad: {}".format(gradient_line))
# print("Edge: {}".format(edge))
s_t = self._intersect_lines(gradient_line, edge)
# print("s_t: {}".format(s_t))
params[i, :] = [s_t[0], i]
t, node_idx, stay_on_edge = self._check_param(params)
print("Stay on edge: {}".format(stay_on_edge))
boundary = pg.findBoundary(
current_cell.node(node_idx),
current_cell.node((node_idx+1) % nnodes))
if stay_on_edge:
# break
next_node_id, next_cell_id = self._get_next_node(
boundary, current_cell.id(), ray_origin, gradient_norm)
t = ray_origin.dist(msh.node(next_node_id).pos())
print("Current: {}, next: {}, t: {}".format(
current_cell.id(), next_cell_id, t))
print("")
self._jac[source_idx][next_cell_id] += t
temp = msh.node(next_node_id).pos() - ray_origin
ray_origin = msh.node(next_node_id).pos() + \
1e-5 * temp.norm() - pg.RVector3(0.0, 1e-6, 0.0)
# new_cell = mesh.cell(next_cell_id)
new_cell = msh.findCell(ray_origin)
was_on_edge = True
# print("next_cell_id: {}, findCell: {}".format(
# next_cell_id, new_cell.id()))
else:
# print("params: {}, t: {}, i: {}".format(params, t, node_idx))
# Save distance travelled in the cell (t) and update origin
self._jac[source_idx][current_cell.id()] = t
ray_origin = gradient_line.lineAt(t)
# print("ray origin: {}".format(ray_origin))
new_cell = self._get_new_cell(boundary, current_cell)
if new_cell.id() == old_cell_id:
# If we keep jumping back and forth between two cells.
print("Jumping back and forth...")
break
return self._jac
