def A(N1, N2, l1, l2):
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1/4., l2 = l2)
def U(x,y,z,label):
ymax, xmax = y.max(), x.max()
ux = y/ymax*xmax
uy = 0.*x
uz = 0.*x
return ux, uy, uz
u = m.nodes.eval_vectorFunction(U)
m.nodes.apply_displacement(u)
m.union( m.apply_reflection(point = (l1/2., 0., 0.), normal = (1., 0., 0.) ) )
return m
def MakeMesh(self):
"""
Builds the mesh
"""
Ri = self.inner_radius
Ro = self.outer_radius
thickness = self.thickness
Nr, Nt, Na = self.Nr, self.Nt, self.Na
mesh = RegularQuadMesh(Nt, Nr, .25, Ro - Ri, name = self.elType)
mesh.nodes.add_set_by_func('left_nodes', lambda x, y, z, labels: x == 0.)
mesh.nodes.add_set_by_func('right_nodes', lambda x, y, z, labels: x == .25)
def function(x, y, z, labels):
theta = 2 * np.pi * (.25 - x)
r = y + Ri
ux = -x + r * np.cos(theta)
uy = -y + r * np.sin(theta)
uz = 0. * z
return ux, uy, uz
vectorField = mesh.nodes.eval_vectorFunction(function)
mesh.nodes.apply_displacement(vectorField)
nodes = mesh.nodes
for i in xrange(len(nodes.labels)):
if nodes.x[i] < 0.:
nodes.x[i] = 0.
mesh.add_set('all_elements', mesh.labels)
mesh.add_set('surface_elements',range( Nt * (Nr-1)+1, Nt*Nr+1 ))
mesh.add_surface('surface_faces',[ ('surface_elements',3) ])
if self.is_3D:
mesh = mesh.extrude(N = Na, l = thickness, mapping = {self.elType: self.elType})
self.mesh = mesh
def Y(N1, N2, l1, l2):
m = A(N1, N2 / 2, l1, l2 / 2.)
m = m.apply_reflection(point=(0., l2 / 2., 0.), normal=(0., 1., 0.))
m2 = RegularQuadMesh(N1=2 * N1, N2=N2 / 2, l1=l1 / 2., l2=l2 / 2.)
m2.nodes.translate(x=l1 / 4.)
m.union(m2)
return m
def P(N1, N2, l1, l2):
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1/4., l2 = l2)
m1 = RegularQuadMesh(N1 = N2, N2 = N1, l1 = 1., l2 = l2/6.)
def U(x, y, z, labels):
r0y = l2/12.
r0x = r0y
theta = np.pi * (x-.5)
rx = y + r0x
ry = y + r0y
ux = -x + rx * np.cos(theta)
uy = -y + ry * np.sin(theta)
uz = 0. * z
return ux, uy, uz
u = m1.nodes.eval_vectorFunction(U)
m1.nodes.apply_displacement(u)
m1.nodes.translate(x = l1/4., y = 3.*l2/4.)
m.union(m1)
return m
from abapy.mesh import Mesh, Nodes, RegularQuadMesh
import matplotlib.pyplot as plt
from numpy import cos, sin, pi
from copy import copy
def function(x, y, z, labels):
r0 = 1.
theta = 2 * pi * x
r = y + r0
ux = -x + r * cos(theta)
uy = -y + r * sin(theta)
uz = 0. * z
return ux, uy, uz
N1, N2 = 100, 25
l1, l2 = .75, 1.
Ncolor = 20
mesh = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
vectorField = mesh.nodes.eval_vectorFunction(function)
mesh.nodes.apply_displacement(vectorField)
field = vectorField.get_coord(2) # we chose to plot coordinate 2
field2 = vectorField.get_coord(2) # we chose to plot coordinate 2
x,y,z = mesh.get_edges() # Mesh edges
X,Y,Z,tri = mesh.dump2triplot()
xb,yb,zb = mesh.get_border() # mesh borders
xe, ye, ze = mesh.get_edges()
fig = plt.figure(figsize=(10,10))
fig.gca().set_aspect('equal')
plt.axis('off')
plt.plot(xb,yb,'k-', linewidth = 2.)
plt.plot(xe, ye,'k-', linewidth = .5)
plt.tricontour(X,Y,tri,field.data, Ncolor, colors = 'black')
color = plt.tricontourf(X,Y,tri,field.data, Ncolor)
from abapy.indentation import Hanson from abapy.mesh import Mesh, Nodes, RegularQuadMesh from matplotlib import pyplot as plt import numpy as np """ =========== Hanson model for conical indentation =========== """ H = Hanson(F=1., E=1., nu=0.3, half_angle=70.29) Ne = 20 mesh = RegularQuadMesh(N1=Ne, N2=Ne, l1=H.a * 2., l2=H.a * 2., dtf='d') mesh.nodes.translate(H.a / 20., H.a / 20.) S = mesh.nodes.eval_tensorFunction(H.sigma) R, Z, T, tri = mesh.dump2triplot() R, Z = np.array(R), np.array(Z) # Some fields srr = S.get_component(11) szz = S.get_component(22) stt = S.get_component(33) srz = S.get_component(12) smises = S.vonmises() s1, s2, s3, v1, v2, v3 = S.eigen() # Eigenvalues and eigenvectors data = smises.data N = 20 levels = np.linspace(0., max(data), N) a = H.a
def function(x, y, z, labels):
r0 = 1.0
theta = 0.5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta ** 2)
uy = -y + r * np.sin(theta ** 2)
uz = 0.0 * z
return ux, uy, uz
N1, N2 = 30, 30
l1, l2 = 0.75, 1.0
m = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2)
vectorField = m.nodes.eval_vectorFunction(function)
m.nodes.apply_displacement(vectorField)
patches = m.dump2polygons()
volume = m.volume()
bb = m.nodes.boundingBox()
patches.set_facecolor(None) # Required to allow face color
patches.set_array(volume)
patches.set_linewidth(1.0)
fig = plt.figure(0)
plt.clf()
ax = fig.add_subplot(111)
ax.set_aspect("equal")
ax.add_collection(patches)
plt.legend()
cbar = plt.colorbar(patches)
s_tt = -(1. - 2. * nu) / (2. * pi * rho**2) * (z / rho - rho / (rho + z))
#s_tt = ( 1. - 2. * nu) / (2. * pi ) * ( 1. / r**2 -z/( rho * r**2) -z / rho**3 )
s_rz = -3. / (2. * pi) * r * z**2 / rho**5
s_rt = zeros_like(r)
s_zt = zeros_like(r)
return s_rr, s_zz, s_tt, s_rz, s_rt, s_zt
return ux, uy, uz
N1, N2 = 50, 50
l1, l2 = 1., 1.
Ncolor = 200
levels = linspace(0., 10., 20)
mesh = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2)
# Finding the node located at x = y =0.:
nodes = mesh.nodes
for i in xrange(len(nodes.labels)):
if nodes.x[i] == 0. and nodes.y[i] == 0.: node = nodes.labels[i]
mesh.drop_node(node)
tensorField = mesh.nodes.eval_tensorFunction(boussinesq)
field = tensorField.get_component(22) # sigma_zz
field2 = tensorField.vonmises() # von Mises stress
field3 = tensorField.pressure() # pressure
fig = plt.figure(figsize=(16, 4))
ax = fig.add_subplot(131)
ax2 = fig.add_subplot(132)
ax3 = fig.add_subplot(133)
ax.set_aspect('equal')
from abapy.mesh import RegularQuadMesh, Mesh
from matplotlib import pyplot as plt
m = RegularQuadMesh(N1=2, N2=2)
m.add_set('el_set', [1, 2])
m.add_surface('my_surface', [
('el_set', 2),
])
m2 = m.extrude(l=1., N=2)
x, y, z = m.get_edges()
x2, y2, z2 = m2.get_edges()
# Adding some 3D "home made" perspective:
zx, zy = .3, .3
for i in xrange(len(x2)):
if x2[i] != None:
x2[i] += zx * z2[i]
y2[i] += zy * z2[i]
# Plotting stuff
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.plot(x, y, 'b-', linewidth=4., label='Orginal Mesh')
plt.plot(x2, y2, 'r-', linewidth=1., label='Extruded mesh')
plt.legend()
plt.show()
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
N1, N2 = 30, 5 # Number of elements
l1, l2 = 4.0, 1.0 # Mesh size
fs = 20.0 # fontsize
mesh = RegularQuadMesh(N1, N2, l1, l2)
plt.figure(figsize=(8, 3))
plt.gca().set_aspect("equal")
nodes = mesh.nodes
xn, yn, zn = nodes.x, nodes.y, nodes.z # Nodes coordinates
xe, ye, ze = mesh.get_edges() # Mesh edges
xb, yb, zb = mesh.get_border() # Mesh border
plt.plot(xe, ye, "r-", label="edges")
plt.plot(xb, yb, "b-", label="border")
plt.plot(xn, yn, "go", label="nodes")
plt.xlim([-0.1 * l1, 1.1 * l1])
plt.ylim([-0.1 * l2, 1.1 * l2])
plt.xticks([0, l1], ["$0$", "$l_1$"], fontsize=fs)
plt.yticks([0, l2], ["$0$", "$l_2$"], fontsize=fs)
plt.xlabel("$N_1$", fontsize=fs)
plt.ylabel("$N_2$", fontsize=fs)
plt.legend()
plt.show()
def function(x, y, z, labels):
r0 = 1.
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
N1, N2 = 30, 30
l1, l2 = .75, 1.
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
vectorField = m.nodes.eval_vectorFunction(function)
m.nodes.apply_displacement(vectorField)
patches = m.dump2polygons()
bb = m.nodes.boundingBox()
patches.set_linewidth(1.)
fig = plt.figure(0)
plt.clf()
ax = fig.add_subplot(111)
ax.set_aspect("equal")
ax.add_collection(patches)
plt.grid()
plt.xlim(bb[0])
plt.ylim(bb[1])
plt.xlabel("$x$ position")
plt.ylabel("$y$ position")
from abapy.mesh import RegularQuadMesh N1, N2 = 2, 2 l1, l2 = 1., 1. mesh1 = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2) mesh2 = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2) mesh2.translate(x=l1, y=l2)
from abapy.mesh import RegularQuadMesh N1,N2 = 2,2 l1, l2 = 1., 1. mesh1 = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2) mesh2 = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2) mesh2.translate(x = l1, y = l2)
from abapy.postproc import FieldOutput, VectorFieldOutput
from abapy.mesh import RegularQuadMesh
mesh = RegularQuadMesh()
data1 = [2, 2, 5, 10]
data2 = [1.0 for i in data1]
labels = range(1, len(data1) + 1)
fo1, fo2 = (
FieldOutput(labels=labels, data=data1, position="node"),
FieldOutput(labels=labels, data=data2, position="node"),
)
vector = VectorFieldOutput(data1=fo1, data2=fo2)
out = mesh.dump2vtk() + vector.dump2vtk()
f = open("vector.vtk", "w")
f.write("out")
f.close()
def function(x, y, z, labels):
r0 = 1.
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
N1, N2, N3 = 10, 10, 5
l1, l2, l3 = .75, 1., 1.
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
m = m.extrude(l = l3, N = N3 )
vectorField = m.nodes.eval_vectorFunction(function)
m.nodes.apply_displacement(vectorField)
patches = m.dump2polygons(use_3D = True,
face_color = None,
edge_color = "black")
bb = m.nodes.boundingBox()
patches.set_linewidth(1.)
fig = plt.figure(0)
plt.clf()
ax = a3.Axes3D(fig)
ax.set_aspect("equal")
ax.add_collection3d(patches)
plt.xlim(bb[0])
def function(x, y, z, labels):
r0 = 1.
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
N1, N2, N3 = 10, 10, 5
l1, l2, l3 = .75, 1., 1.
m = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2)
m = m.extrude(l=l3, N=N3)
vectorField = m.nodes.eval_vectorFunction(function)
m.nodes.apply_displacement(vectorField)
patches = m.dump2polygons(use_3D=True, face_color=None, edge_color="black")
bb = m.nodes.boundingBox()
patches.set_linewidth(1.)
fig = plt.figure(0)
plt.clf()
ax = a3.Axes3D(fig)
ax.set_aspect("equal")
ax.add_collection3d(patches)
plt.xlim(bb[0])
plt.ylim(bb[1])
plt.xlabel("$x$ position")
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
def scalar_function(x, y, z, labels):
"""
Scalar function used to produced the plotted field.
"""
return x**2 + y**2
#MESH GENERATION
N1, N2 = 30, 30
l1, l2 = .75, 1.
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
#FIELDS GENERATION
u = m.nodes.eval_vectorFunction(vector_function)
m.add_field(u, "u")
f = m.nodes.eval_function(scalar_function)
m.add_field(f, "f")
#PLOTS
fig = plt.figure(0)
plt.clf()
ax = fig.add_subplot(1,1,1)
m.draw(ax,
disp_func = lambda fields : fields["u"],
field_func = lambda fields : fields["f"],
cmap = cm.jet,
cbar_orientation = "vertical",
contour = False,
s_tt = -( 1. - 2. * nu) / (2. * pi * rho**2 ) * ( z/rho - rho / (rho + z) )
#s_tt = ( 1. - 2. * nu) / (2. * pi ) * ( 1. / r**2 -z/( rho * r**2) -z / rho**3 )
s_rz = -3./ (2. * pi) * r * z**2 / rho **5
s_rt = zeros_like(r)
s_zt = zeros_like(r)
return s_rr, s_zz, s_tt, s_rz, s_rt, s_zt
return ux, uy, uz
N1, N2 = 50, 50
l1, l2 = 1., 1.
Ncolor = 200
levels = linspace(0., 10., 20)
mesh = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
# Finding the node located at x = y =0.:
nodes = mesh.nodes
for i in xrange(len(nodes.labels)):
if nodes.x[i] == 0. and nodes.y[i] == 0.: node = nodes.labels[i]
mesh.drop_node(node)
tensorField = mesh.nodes.eval_tensorFunction(boussinesq)
field = tensorField.get_component(22) # sigma_zz
field2 = tensorField.vonmises() # von Mises stress
field3 = tensorField.pressure() # pressure
fig = plt.figure(figsize=(16,4))
ax = fig.add_subplot(131)
ax2 = fig.add_subplot(132)
ax3 = fig.add_subplot(133)
ax.set_aspect('equal')
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
N1,N2 = 20,20
l1, l2 = 1., 1.
mesh1 = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2, name = 'mesh1_el')
mesh2 = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2, name = 'mesh2_el')
mesh2.add_set('set2',[1,3])
mesh2.nodes.translate(x = l1, y = l2)
mesh1.union(mesh2)
plt.figure()
xe, ye, ze = mesh1.get_edges()
plt.plot(xe, ye)
plt.show()
from abapy.mesh import RegularQuadMesh
mesh = RegularQuadMesh()
mesh.add_surface('topsurface', [ ('top', 1) ])
mesh.add_surface('topsurface', [ ('top', 2) ])
mesh.surfaces
from abapy.mesh import RegularQuadMesh N1, N2 = 1, 1 mesh = RegularQuadMesh(N1, N2) nodes = mesh.nodes nodes.replace_node(1, 2) print (nodes)
from abapy.mesh import Mesh, Nodes, RegularQuadMesh
import matplotlib.pyplot as plt
from numpy import cos, pi
def function(x, y, z, labels):
r = (x**2 + y**2)**.5
return cos(2*pi*x)*cos(2*pi*y)/(r+1.)
N1, N2 = 30, 30
l1, l2 = 1., 1.
Ncolor = 10
mesh = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2)
field = mesh.nodes.eval_function(function)
fig = plt.figure(figsize=(16,4))
ax = fig.add_subplot(131)
ax2 = fig.add_subplot(132)
ax3 = fig.add_subplot(133)
ax.set_aspect('equal')
ax2.set_aspect('equal')
ax3.set_aspect('equal')
ax.set_xticks([])
ax.set_yticks([])
ax2.set_xticks([])
ax2.set_yticks([])
ax3.set_xticks([])
ax3.set_yticks([])
ax.set_frame_on(False)
ax2.set_frame_on(False)
ax3.set_frame_on(False)
ax.set_title('Orginal Mesh')
ax2.set_title('Triangularized Mesh')
ax3.set_title('Field')
x,y,z = mesh.get_edges() # Mesh edges
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
# Creating a mesh
m = RegularQuadMesh(N1 = 2, N2 = 2)
x0, y0, z0 = m.get_edges()
# Finding the node located at x = y =0.:
nodes = m.nodes
for i in xrange(len(nodes.labels)):
if nodes.x[i] == 0. and nodes.y[i] == 0.: node = nodes.labels[i]
# Removing this node
m.drop_node(node)
x1, y1, z1 = m.get_edges()
bbx, bby, bbz = m.nodes.boundingBox()
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.xlim(bbx)
plt.ylim(bby)
plt.plot(x0,y0, 'r-', linewidth = 2., label = 'Removed element')
plt.plot(x1,y1, 'b-', linewidth = 2., label = 'New mesh')
plt.legend()
plt.show()
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
N1, N2 = 20, 20
l1, l2 = 1., 1.
mesh1 = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2, name='mesh1_el')
mesh2 = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2, name='mesh2_el')
mesh2.add_set('set2', [1, 3])
mesh2.nodes.translate(x=l1, y=l2)
mesh1.union(mesh2)
plt.figure()
xe, ye, ze = mesh1.get_edges()
plt.plot(xe, ye)
plt.show()
""" Bousinesq model =============== """ Bo = CFE.Boussinesq(F = 10.) """ Mesh model """ N1, N2 = 50, 50 l1, l2 = 1., 1. Ncolor = 200 levels = linspace(0., 10., 20) mesh = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2) nodes = mesh.nodes tensorField = mesh.nodes.eval_tensorFunction(Bo.sigma_boussinesq()) sigma_zz = tensorField.get_component(22) VM = tensorField.vonmises() P = tensorField.pressure() xt,yt,zt = mesh.convert2tri3().get_edges() xb,yb,zb = mesh.get_border() X,Y,Z,tri = mesh.dump2triplot() """ Display of stress fields """
from abapy.mesh import RegularQuadMesh, Mesh
from matplotlib import pyplot as plt
from array import array
from abapy.indentation import IndentationMesh
m = RegularQuadMesh(N1=2, N2=2)
m.connectivity[2] = array(m.dti, [5, 7, 4])
m.connectivity[3] = array(m.dti, [5, 6, 9])
m.add_set('el_set', [1, 2])
m.add_set('el_set2', [2, 4])
m.add_surface('my_surface', [
('el_set', 1),
])
m2 = m.sweep(sweep_angle=70., N=2, extrude=True)
x, y, z = m.get_edges()
x2, y2, z2 = m2.get_edges()
# Adding some 3D "home made" perspective:
zx, zy = .3, .3
for i in range(len(x2)):
if x2[i] != None:
x2[i] += zx * z2[i]
y2[i] += zy * z2[i]
# Plotting stuff
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.plot(x, y, 'b-', linewidth=4., label='Orginal Mesh')
plt.plot(x2, y2, 'r-', linewidth=1., label='Sweeped mesh')
from abapy.postproc import FieldOutput, VectorFieldOutput
from abapy.mesh import RegularQuadMesh
mesh = RegularQuadMesh()
data1 = [2, 2, 5, 10]
data2 = [1. for i in data1]
labels = range(1, len(data1) + 1)
fo1, fo2 = FieldOutput(labels=labels, data=data1, position='node'), FieldOutput(
labels=labels, data=data2, position='node')
vector = VectorFieldOutput(data1=fo1, data2=fo2)
out = mesh.dump2vtk() + vector.dump2vtk()
f = open('vector.vtk', 'w')
f.write("out")
f.close()
def MakeInp(self):
pattern = """**----------------------------------
**DISTRIBUTED MECHANICAL PROPERTIES
**----------------------------------
**HEADER
*Preprint, echo=NO, model=NO, history=NO, contact=NO
**----------------------------------
** PART "pSAMPLE" DEFINITION
*Part, name = pSample
#MESH
#SECTIONS
*End part
**----------------------------------
** ASSEMBLY
*Assembly, name = Assembly
*Instance, name=iSample, part=pSample
*End Instance
*End Assembly
**----------------------------------
** MATERIALS
#MATERIALS
**----------------------------------
** STEPS
*Step, Name=Loading0, Nlgeom=YES, Inc=1000000
*Static
#FRAME_DURATION, 1, 1e-08, #FRAME_DURATION
** BOUNDARY CONDITIONS
*Boundary
iSample.Bottom, 2, 2
iSample.BottomLeft, 1, 1#3DBOUNDARY
iSample.Top, 2, 2, #DISP
** RESTART OPTIONS
*Restart, write, frequency=0
** FIELD OUTPUTS
*Output, field, frequency=999999
*Node Output
U
*Element Output, directions=YES
E, PE, EE, PEEQ, S
** HYSTORY OUTPUTS
*Output, history
*Energy Output
ALLPD, ALLSE, ALLWK
*Node Output, nset=iSample.Top
RF2
*Node Output, nset=iSample.TopLeft
U2
*Node Output, nset=iSample.Left
COOR1
*Node Output, nset=iSample.Right
COOR1
*Element Output, elset=iSample.allElements, directions=NO
EVOL
*End Step
"""
Nx , Ny, Nz = self.Nx, self.Ny, self.Nz
lx, ly, lz = self.lx, self.ly, self.lz
elType = self.elType
material = self.material
disp = self.disp
nFrames = self.nFrames
if self.is_3D:
Ne = Nx * Ny * Nz
else:
Ne = Nx * Ny
sections = ""
matinp = ""
if self.compart:
section_pattern = "*Solid Section, elset=Elset{0}, material={1}\n*Elset, Elset=Elset{0}\n{0},\n"
labels = [mat.labels[0] for mat in material]
for i in xrange(Ne):
sections += section_pattern.format(i+1, labels[i])
matinp += material[i].dump2inp() + '\n'
else:
section_pattern = "*SOLID SECTION, ELSET = ALLELEMENTS, MATERIAL = {0}\n{1}"
label = material.labels[0]
sections = section_pattern.format(label, self.lz)
matinp = material.dump2inp()
m = RegularQuadMesh(Nx, Ny, l1= lx, l2 = ly, name = elType)
m.add_set(label = "AllElements", elements = m.labels)
nsets = copy.copy(m.nodes.sets)
if self.is_3D:
m = m.extrude(N = Nz, l = lz)
m.nodes.sets['bottomleft'] = nsets['bottomleft']
m.nodes.sets['bottomright'] = nsets['bottomright']
pattern = pattern.replace("#MESH", m.dump2inp())
pattern = pattern.replace("#SECTIONS", sections[:-1])
pattern = pattern.replace("#MATERIALS", matinp[:-1])
pattern = pattern.replace("#DISP", str(disp))
pattern = pattern.replace("#FRAME_DURATION", str(1./nFrames))
if self.is_3D:
pattern = pattern.replace("#3DBOUNDARY", "\niSample.BottomLeft, 3, 3\niSample.BottomRight, 3, 3")
else:
pattern = pattern.replace("#3DBOUNDARY", "")
f = open(self.workdir + self.label + '.inp', 'wb')
f.write(pattern)
f.close()
Vector function used to produced the displacement field.
"""
r0 = 1.
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
def scalar_function(x, y, z, labels):
"""
Scalar function used to produced the plotted field.
"""
return x**2 + y**2
#MESH GENERATION
N1, N2, N3 = 8, 8, 8
l1, l2, l3 = .75, 1., .5
m = RegularQuadMesh(N1 = N1, N2 = N2, l1 = l1, l2 = l2).extrude(N = N3, l = l3)
#FIELDS GENERATION
s = m.nodes.eval_tensorFunction(tensor_function)
m.add_field(s, "s")
u = m.nodes.eval_vectorFunction(vector_function)
m.add_field(u, "u")
m.nodes.apply_displacement(u)
f = m.nodes.eval_function(scalar_function)
m.add_field(f, "f")
m.dump2vtk("Mesh-dump2vtk.vtk")
from abapy.mesh import RegularQuadMesh
mesh = RegularQuadMesh()
mesh.add_surface('topsurface', [('top', 1)])
mesh.add_surface('topsurface', [('top', 2)])
mesh.surfaces
from abapy.mesh import RegularQuadMesh, Mesh
from matplotlib import pyplot as plt
from array import array
from abapy.indentation import IndentationMesh
m = RegularQuadMesh(N1 = 2, N2 =2)
m.connectivity[2] = array(m.dti,[5, 7, 4])
m.connectivity[3] = array(m.dti,[5, 6, 9])
m.add_set('el_set',[1,2])
m.add_set('el_set2',[2,4])
m.add_surface('my_surface',[('el_set',1),])
m2 = m.sweep(sweep_angle = 70., N = 2, extrude=True)
x,y,z = m.get_edges()
x2,y2,z2 = m2.get_edges()
# Adding some 3D "home made" perspective:
zx, zy = .3, .3
for i in xrange(len(x2)):
if x2[i] != None:
x2[i] += zx * z2[i]
y2[i] += zy * z2[i]
# Plotting stuff
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.plot(x,y, 'b-', linewidth = 4., label = 'Orginal Mesh')
plt.plot(x2,y2, 'r-', linewidth = 1., label = 'Sweeped mesh')
plt.legend()
plt.show()
def function(x, y, z, labels):
r0 = 1.
theta = .5 * np.pi * x
r = y + r0
ux = -x + r * np.cos(theta**2)
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
N1, N2 = 30, 30
l1, l2 = .75, 1.
m = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2)
vectorField = m.nodes.eval_vectorFunction(function)
m.nodes.apply_displacement(vectorField)
patches = m.dump2polygons()
bb = m.nodes.boundingBox()
patches.set_linewidth(1.)
fig = plt.figure(0)
plt.clf()
ax = fig.add_subplot(111)
ax.set_aspect("equal")
ax.add_collection(patches)
plt.grid()
plt.xlim(bb[0])
plt.ylim(bb[1])
plt.xlabel("$x$ position")
uy = -y + r * np.sin(theta**2)
uz = 0. * z
return ux, uy, uz
def scalar_function(x, y, z, labels):
"""
Scalar function used to produced the plotted field.
"""
return x**2 + y**2
# MESH GENERATION
N1, N2 = 30, 30
l1, l2 = .75, 1.
m = RegularQuadMesh(N1=N1, N2=N2, l1=l1, l2=l2)
# FIELDS GENERATION
u = m.nodes.eval_vectorFunction(vector_function)
m.add_field(u, "u")
f = m.nodes.eval_function(scalar_function)
m.add_field(f, "f")
# PLOTS
fig = plt.figure(0)
plt.clf()
ax = fig.add_subplot(1, 1, 1)
m.draw(ax,
disp_func=lambda fields: fields["u"],
field_func=lambda fields: fields["f"],
cmap=cm.jet,
cbar_orientation="vertical",
contour=False,
from abapy.mesh import RegularQuadMesh N = 1 l1, l2 = 1., 2. mesh = RegularQuadMesh(N1=N, N2=N, l1=l1, l2=l2) mesh.nodes.closest_node(1)
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
N1, N2 = 30, 5 # Number of elements
l1, l2 = 4., 1. # Mesh size
fs = 20. # fontsize
mesh = RegularQuadMesh(N1, N2, l1, l2)
plt.figure(figsize=(8, 3))
plt.gca().set_aspect('equal')
nodes = mesh.nodes
xn, yn, zn = nodes.x, nodes.y, nodes.z # Nodes coordinates
xe, ye, ze = mesh.get_edges() # Mesh edges
xb, yb, zb = mesh.get_border() # Mesh border
plt.plot(xe, ye, 'r-', label='edges')
plt.plot(xb, yb, 'b-', label='border')
plt.plot(xn, yn, 'go', label='nodes')
plt.xlim([-.1 * l1, 1.1 * l1])
plt.ylim([-.1 * l2, 1.1 * l2])
plt.xticks([0, l1], ['$0$', '$l_1$'], fontsize=fs)
plt.yticks([0, l2], ['$0$', '$l_2$'], fontsize=fs)
plt.xlabel('$N_1$', fontsize=fs)
plt.ylabel('$N_2$', fontsize=fs)
plt.legend()
plt.show()
from abapy.mesh import RegularQuadMesh N1, N2 = 1, 1 mesh = RegularQuadMesh(N1, N2) mesh.replace_node(1, 2) print(mesh)
from abapy.mesh import RegularQuadMesh N1, N2 = 1,1 mesh = RegularQuadMesh(N1, N2) mesh.replace_node(1,2) print mesh
from abapy.indentation import Hanson
from abapy.mesh import Mesh, Nodes, RegularQuadMesh
from matplotlib import pyplot as plt
import numpy as np
"""
===========
Hanson model for conical indentation
===========
"""
H = Hanson(F = 1., E=1., nu = 0.3, half_angle = 70.29)
Ne = 20
mesh = RegularQuadMesh(N1 = Ne, N2 = Ne, l1 = H.a * 2., l2 = H.a * 2., dtf = 'd')
mesh.nodes.translate(H.a/20., H.a/20.)
S = mesh.nodes.eval_tensorFunction(H.sigma)
R,Z,T,tri = mesh.dump2triplot()
R, Z = np.array(R), np.array(Z)
# Some fields
srr = S.get_component(11)
szz = S.get_component(22)
stt = S.get_component(33)
srz = S.get_component(12)
smises = S.vonmises()
s1, s2, s3, v1, v2, v3 = S.eigen() # Eigenvalues and eigenvectors
data = smises.data
N = 20
levels = np.linspace(0., max(data), N)
a = H.a
from abapy.mesh import RegularQuadMesh
from matplotlib import pyplot as plt
# Creating a mesh
m = RegularQuadMesh(N1=2, N2=2)
x0, y0, z0 = m.get_edges()
# Finding the node located at x = y =0.:
nodes = m.nodes
for i in xrange(len(nodes.labels)):
if nodes.x[i] == 0. and nodes.y[i] == 0.: node = nodes.labels[i]
# Removing this node
m.drop_node(node)
x1, y1, z1 = m.get_edges()
bbx, bby, bbz = m.nodes.boundingBox()
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.xlim(bbx)
plt.ylim(bby)
plt.plot(x0, y0, 'r-', linewidth=2., label='Removed element')
plt.plot(x1, y1, 'b-', linewidth=2., label='New mesh')
plt.legend()
plt.show()
from abapy.mesh import RegularQuadMesh, Mesh
from matplotlib import pyplot as plt
m = RegularQuadMesh(N1 = 2, N2 =2)
m.add_set('el_set',[1,2])
m.add_surface('my_surface',[('el_set',2), ])
m2 = m.extrude(l = 1., N = 2)
x,y,z = m.get_edges()
x2,y2,z2 = m2.get_edges()
# Adding some 3D "home made" perspective:
zx, zy = .3, .3
for i in xrange(len(x2)):
if x2[i] != None:
x2[i] += zx * z2[i]
y2[i] += zy * z2[i]
# Plotting stuff
plt.figure()
plt.clf()
plt.gca().set_aspect('equal')
plt.axis('off')
plt.plot(x,y, 'b-', linewidth = 4., label = 'Orginal Mesh')
plt.plot(x2,y2, 'r-', linewidth = 1., label = 'Extruded mesh')
plt.legend()
plt.show()