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143 lines
4.4 KiB
Python
143 lines
4.4 KiB
Python
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from SimPEG.Utils.matutils import kron3, speye, sdiag
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from SimPEG import *
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import numpy as np
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import scipy.sparse as sp
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def ddxFaceDivBC(n, bc):
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ij = (np.array([0, n-1]),np.array([0, 1]))
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vals = np.zeros(2)
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# Set the first side
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if(bc[0] == 'dirichlet'):
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vals[0] = 0
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elif(bc[0] == 'neumann'):
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vals[0] = -1
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# Set the second side
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if(bc[1] == 'dirichlet'):
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vals[1] = 0
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elif(bc[1] == 'neumann'):
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vals[1] = 1
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D = sp.csr_matrix((vals, ij), shape=(n,2))
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return D
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def faceDivBC(mesh, BC, ind):
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"""
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The facd divergence boundary condtion matrix
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.. math::
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"""
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# The number of cell centers in each direction
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n = mesh.nCv
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# Compute faceDivergence operator on faces
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if(mesh.dim == 1):
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D = ddxFaceDivBC(n[0], BC[0])
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elif(mesh.dim == 2):
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D1 = sp.kron(speye(n[1]), ddxFaceDivBC(n[0]), BC[0])
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D2 = sp.kron(ddxFaceDivBC(n[1], BC[1]), speye(n[0]))
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D = sp.hstack((D1, D2), format="csr")
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elif(mesh.dim == 3):
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D1 = kron3(speye(n[2]), speye(n[1]), ddxFaceDivBC(n[0], BC[0]))
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D2 = kron3(speye(n[2]), ddxFaceDivBC(n[1], BC[1]), speye(n[0]))
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D3 = kron3(ddxFaceDivBC(n[2], BC[2]), speye(n[1]), speye(n[0]))
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D = sp.hstack((D1, D2, D3), format="csr")
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# Compute areas of cell faces & volumes
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S = mesh.area[ind]
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V = mesh.vol
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mesh._faceDiv = sdiag(1/V)*D*sdiag(S)
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return mesh._faceDiv
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def faceBCind(mesh):
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"""
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Find indices of boundary faces in each direction
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"""
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if(mesh.dim==1):
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indxd = (mesh.gridFx[:,0]==min(mesh.gridFx[:,0]))
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indxu = (mesh.gridFx[:,0]==max(mesh.gridFx[:,0]))
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return indxd, indxu
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elif(mesh.dim==1):
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indxd = (mesh.gridFx[:,0]==min(mesh.gridFx[:,0]))
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indxu = (mesh.gridFx[:,0]==max(mesh.gridFx[:,0]))
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indyd = (mesh.gridFy[:,1]==min(mesh.gridFy[:,1]))
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indyu = (mesh.gridFy[:,1]==max(mesh.gridFy[:,1]))
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return indxd, indxu, indyd, indyu
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elif(mesh.dim==3):
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indxd = (mesh.gridFx[:,0]==min(mesh.gridFx[:,0]))
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indxu = (mesh.gridFx[:,0]==max(mesh.gridFx[:,0]))
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indyd = (mesh.gridFy[:,1]==min(mesh.gridFy[:,1]))
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indyu = (mesh.gridFy[:,1]==max(mesh.gridFy[:,1]))
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indzd = (mesh.gridFz[:,2]==min(mesh.gridFz[:,2]))
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indzu = (mesh.gridFz[:,2]==max(mesh.gridFz[:,2]))
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return indxd, indxu, indyd, indyu, indzd, indzu
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def spheremodel(mesh, x0, y0, z0, r):
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"""
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Generate model indicies for sphere
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- (x0, y0, z0 ): is the center location of sphere
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- r: is the radius of the sphere
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- it returns logical indicies of cell-center model
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"""
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ind = np.sqrt((mesh.gridCC[:,0]-x0)**2+(mesh.gridCC[:,1]-y0)**2+(mesh.gridCC[:,2]-z0)**2 ) < r
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return ind
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def MagSphereAnalFun(x, y, z, R, x0, y0, z0, mu1, mu2, H0, flag):
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"""
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Analytic function for Magnetics problem. The set up here is
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magnetic sphere in whole-space.
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- (x0,y0,z0)
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- (x0, y0, z0 ): is the center location of sphere
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- r: is the radius of the sphere
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.. math::
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\mathbf{H}^p = H_0\hat{x}
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"""
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if (~np.size(x)==np.size(y)==np.size(z)):
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print "Specify same size of x, y, z"
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return
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dim = x.shape
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x = Utils.mkvc(x)
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y = Utils.mkvc(y)
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z = Utils.mkvc(z)
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ind = np.sqrt((x-x0)**2+(y-y0)**2+(z-z0)**2 ) < R
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r = Utils.mkvc(np.sqrt((x-x0)**2+(y-y0)**2+(z-z0)**2 ))
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Bx = np.zeros(x.size)
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By = np.zeros(x.size)
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Bz = np.zeros(x.size)
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# Inside of the sphere
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rf2 = 3*mu1/(mu2+2*mu1)
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if (flag == 'total'):
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Bx[ind] = mu2*H0*(rf2)
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elif (flag == 'secondary'):
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Bx[ind] = mu2*H0*(rf2)-mu1*H0
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By[ind] = 0.
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Bz[ind] = 0.
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# Outside of the sphere
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rf1 = (mu2-mu1)/(mu2+2*mu1)
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if (flag == 'total'):
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Bx[~ind] = mu1*(H0+H0/r[~ind]**5*(R**3)*rf1*(2*x[~ind]**2-y[~ind]**2-z[~ind]**2))
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elif (flag == 'secondary'):
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Bx[~ind] = mu1*(H0/r[~ind]**5*(R**3)*rf1*(2*x[~ind]**2-y[~ind]**2-z[~ind]**2))
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By[~ind] = mu1*(H0/r[~ind]**5*(R**3)*rf1*(3*x[~ind]*y[~ind]))
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Bz[~ind] = mu1*(H0/r[~ind]**5*(R**3)*rf1*(3*x[~ind]*z[~ind]))
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return np.reshape(Bx, x.shape, order='F'), np.reshape(By, x.shape, order='F'), np.reshape(Bz, x.shape, order='F')
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