lefhs = discre.stiffness(p6, t6, material, qpe)
dirdof, dirval, neudof, neuval = boucon.circle(p6, t6, fy)
righs = discre.loadpoint(p6, t6, thick, neudof, neuval)
disp = solution.solver(lefhs, righs, dirdof, dirval, p6.shape[0] * 2)
Gi, ki, keq, craang = solution.SIF(tipava, p6, t6, numtip, disp, young,
poisson, k, qpe)
if max(abs(keq)) >= KIC:
p, t, tipcra, nodcra, moucra, gloang, tipava, crapro = rm.adjustmesh(
tipava, KIC, Gi, keq, lmin, iniang, gloang, craang)
proste = proste + 1
remesh = 1
plot.trisurf2d(fig,
grid,
p,
t,
eleind=0,
nodind=0,
line=nodcra,
point=tipcra,
parame=[fy])
plt.show()
plt.pause(0.0001)
data.append(
np.array(([np.copy(p)], [np.copy(t)], [np.copy(nodcra)],
[np.copy(tipcra)], [np.copy(proste)], [np.copy(fy)])))
Sigxxi, Sigyyi, Sigxyi, error = solution.stresses(
p6, t6, disp, material, qpe)
else:
remesh = 0
fy = fy + fy0
material, dirdof, dirval, neudof, neuval, possla, posmas, gap = boucon.hertcontact(
p6, t6, R, N, boucir, numcir, bourec, f0, phi)
gap = gap + d0
p0 = np.copy(p6)
pori = np.copy(p6)
p0[:, 0] = p6[:, 0] * math.cos(phi) - p6[:, 1] * math.sin(phi)
p0[:, 1] = p6[:, 0] * math.sin(phi) + p6[:, 1] * math.cos(phi)
p6 = np.copy(p0)
slapoi = p6[possla, :]
maspoi = p6[posmas, :]
lefhs = discre.stiffness(p6, t6, material, [])
righs = discre.loadsegment(p6, neudof, neuval)
disp, consla, conmas, traction = contact.contactsolver(p6, t6, material, [],
lefhs, righs, dirdof,
dirval, slapoi, maspoi,
gap, 0)
U = np.concatenate((disp[::2], disp[1::2]), axis=1)
fig, grid = plt.subplots()
grid.plot(pori[possla, 0], -traction, 'r-')
fig, grid = plt.subplots()
plot.trisurf2d(fig,
grid,
p6,
t6,
eleind=0,
nodind=0,
line=[],
point=p6[np.concatenate((consla, conmas)), :],
parame=[])
plt.show()
KIC = 1.5 * 1E6
tor = 2E6
tor0 = 0.1 * 5E6
p, t = meshing.gmshpy(open('Mesh_multi_cracks.msh'))
p, t, nodaro, tipcra, moucra, roscra, nodcra, iniang, dc, aremin, lmin, slapoi, maspoi = meshing.reprocessing(
p, t, 5, 'multi crack')
lmin = lmin * 1.2
aremin = lmin**2 * np.sqrt(3) / 4
fig, grid = plt.subplots()
plot.trisurf2d(fig,
grid,
p,
t,
eleind=0,
nodind=0,
line=nodcra,
point=tipcra,
parame=[])
plt.show()
plt.pause(0.0001)
numtip = len(tipcra)
gloang = np.zeros((numtip))
crapro = np.zeros((numtip)) == 0
tipava = np.zeros((numtip)) == 0
error = np.zeros((t.shape[0]))
proste = 0
remesh = 1
dsi = np.zeros((numtip)) + lmin * 4
dirdof, dirval, neudof, neuval = boucon.edgcraextension(
p6, t6, nodaro, nodmid, sig)
lefhs = discre.stiffness(p6, t6, material, qpe)
righs = discre.loadsegment(p6, neudof, neuval)
disp = solution.solver(lefhs, righs, dirdof, dirval, p6.shape[0] * 2)
Gi, ki, keq, craang = solution.SIF(tipava, p6, t6, numtip, disp, young,
poisson, k, qpe)
Sigxxi, Sigyyi, Sigxyi, error = solution.stresses(p6, t6, disp, material,
qpe)
Ene = solution.energy(p6, t6, disp, material, qpe)
if step < N:
Sigxxi, Sigyyi, Sigxyi, error = solution.stresses(
p6, t6, disp, material, qpe)
parame = [
Ene * young / (sig**2 * lx**2) * thick,
ki[0][0] / (sig * np.sqrt(math.pi * lx / 2)) * thick,
max(error)[0],
]
plot.trisurf2d(fig,
grid,
p6,
t6,
eleind=0,
nodind=0,
line=[],
point=[],
parame=parame)
plt.show()
plt.pause(0.0001)
p, t = rm.refinement(tipava, crapro, error, 0, 0, "based on error")