(Draf, Dl, n, e) = np.load('poutrecourbe.npy', allow_pickle=True)
(Dl, n, e) = np.load('poutrecourbeQ9.npy', allow_pickle=True)
n = n.T
m = px.Mesh(e, n)
m.Plot(facecolor='#888888')
#%%
#nr=np.array([1132,1131,1130,1129,1128,1094,1054,1053,1052,1019,978,977,976,944,902,870,828,796,754,753,752,721,678,647,604,605,606,607,608,575,534,535,536,576,610,650,684,685,686,725,760,761,762,800,836,874,910,948,984,1022,1058,1096])
#nr2=nr[np.arange(0,52,2)]
#m2.Plot()
#plt.plot(m2.n[nr2,0],m2.n[nr2,1],'r.')
#for i in range(len(nr2)):
# print('Point(%2d) = {%6.10e, %6.10e, 0, .1};' % (i+9,m.n[nr2[i],0],m.n[nr2[i],1]))
mf = px.ReadMeshGMSH('fish.msh')
mf.Plot(facecolor='r')
#m.PlotElemLabels()
#mf.PlotNodeLabels()
#%%
# liste des elements recouverts par le patch
er = np.array([
322, 321, 320, 296, 272, 248, 247, 223, 222, 198, 199, 200, 176, 224, 225,
249, 273, 274, 298, 297, 250, 295, 271, 345, 346
])
### Création du maillage du modèle complémentaire et du maillage du modèle local
m2 = m.Copy()
### Definition of parameters
E = 210000 # Young modulus
nu = 0.3 # Poisson ratio
rho = 7800e-9 # Volumic mass
### Proportional coefficients for damping
a = 2e-4
b = 1.
### Plane stress model
hooke = E / (1-nu**2) * np.array([[1,nu,0],[nu,1,0],[0,0,0.5*(1-nu)]])
#%%
#### Loading the mesh
mesh = px.ReadMeshGMSH('support-1.msh')
#mesh.Plot()
#### Computing the mass and stiffness matrices
mesh.Connectivity() # Computation of the connectivity
K = mesh.Stiffness(hooke).tocsc() # Assembling of the stiffness matrix
M = mesh.Mass(rho).tocsc() # Assembling of the mass matrix
#%%
#### Elimination of boundary conditions
### Loading the numbering of the blocked nodes.
bc = np.loadtxt('bc-1.txt').astype(int)
### Obtaining the numbering of the eliminated dofs
dofBC = np.sort(mesh.conn[bc,:].ravel())
import scipy.sparse.linalg as splalg
import scipy as sp
import pyxel as px
#%% ============================================================================
# Datafiles, images and mesh =================================================
# ==============================================================================
imnums=np.array([53,54,57,58,61,62,65,66,69,70,75])
imagefile='./data/dic_composite/zoom-0%03d_1.tif'
imref = imagefile % imnums[0]
f=px.Image(imref).Load()
f.Show()
# Triangular Mesh in milimeter
m=px.ReadMeshGMSH('./data/dic_composite/gmsh_t3_mm.msh')
#cam=px.MeshCalibration(f,m,[1,2])
cam=px.Camera(np.array([10.49882137, 51.07774613, -6.53402857, 1.56607077]))
l0=1 # regularization length
# Quadrilateral Mesh in meter
m=px.ReadMeshINP('./data/dic_composite/abaqus_q4_m.inp')
#cam=px.MeshCalibration(f,m,[1,2])
cam=px.Camera(np.array([ 1.05168768e+04, 5.13737634e-02, -9.65935782e-02, -2.65443047e-03]))
l0=0.005 # regularization length
# Visualization of the mesh using Matplotlib
m.Plot()
# Or Visualization of the mesh using Paraview
m.VTKMesh('dic_composite/Mesh')
ls.NewCircle()
ls.NewLine()
ls.NewLine()
ls.FineTuning()
cam = ls.Calibration()
# cam = px.Camera(np.array([-10.528098,-50.848452,6.430594,-1.574282]))
if PLOT:
px.PlotMeshImage(f, m, cam)
#%% ONE RECTANGLE
m.e[3] = m.e[3][[0], :]
one_element_integration_test(m, cam)
#%% TRI3 mesh
m = px.ReadMeshGMSH('gmsh_t3_mm.msh')
cam = px.Camera(np.array([-10.528098, -50.848452, 6.430594, -1.574282]))
if PLOT:
m.Plot()
m.Connectivity()
m.DICIntegration(cam)
U = px.MultiscaleInit(f, g, m, cam, scales=[3, 2, 1])
print('Iter # 8 | std(res)=5.40 gl | dU/U=7.95e-04')
print('Iter # 5 | std(res)=7.48 gl | dU/U=5.09e-04')
print('Iter # 4 | std(res)=6.53 gl | dU/U=2.39e-04')
U, res = px.Correlate(f, g, m, cam, U0=U)
print('Iter # 2 | std(res)=2.29 gl | dU/U=6.17e-04')
postpro_test(f, g, m, cam, U, res)