mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-28 17:19:06 +08:00
D Fournier
217 lines
6.4 KiB
Python
217 lines
6.4 KiB
Python
import os
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from SimPEG import *
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import simpegDCIP as DC
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import pylab as plt
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from matplotlib import animation
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from JSAnimation import HTMLWriter
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import time
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import re
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#from readUBC_DC2DMesh import readUBC_DC2DMesh
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#from readUBC_DC2DModel import readUBC_DC2DModel
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#from readUBC_DC2DLoc import readUBC_DC2DLoc
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#from convertObs_DC3D_to_2D import convertObs_DC3D_to_2D
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#from readUBC_DC3Dobs import readUBC_DC3Dobs
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#%%
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home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
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msh_file = 'Mesh_2D.msh'
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mod_file = 'Model_2D.con'
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obs_file = 'FWR_data3D.dat'
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dsep = '\\'
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# Forward solver
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slvr = 'BiCGStab' #'LU'
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# Preconditioner
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pcdr = 'Jacobi' #'Gauss-Seidel'#
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# Number of padding cells to remove from plotting
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padc = 15
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# Load UBC mesh 2D
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mesh = DC.readUBC_DC2DMesh(home_dir + dsep + msh_file)
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# Load model
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model = DC.readUBC_DC2DModel(home_dir + dsep + mod_file)
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# load obs file
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[Tx,Rx,d,wd] = DC.readUBC_DC3Dobs(home_dir + dsep + obs_file)
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[Tx, Rx] = DC.convertObs_DC3D_to_2D(Tx,Rx)
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#%% Create system
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#Set boundary conditions
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mesh.setCellGradBC('neumann')
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Div = mesh.faceDiv
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Grad = mesh.cellGrad
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Msig = Utils.sdiag(1./(mesh.aveF2CC.T*(1./model)))
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A = Div*Msig*Grad
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# Change one corner to deal with nullspace
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A[0,0] = 1
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A = sp.csc_matrix(A)
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start_time = time.time()
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if re.match(slvr,'BiCGStab'):
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# Create Jacobi Preconditioner
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Create Gauss-Seidel Preconditioner
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elif re.match(pcdr,'Gauss-Seidel'):
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LD = sp.tril(A,k=0)
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#LDinv = sp.linalg.splu(LD)
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elif re.match(slvr,'LU'):
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# Factor A matrix
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Ainv = sp.linalg.splu(A)
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print("LU DECOMP--- %s seconds ---" % (time.time() - start_time))
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#%% Create SimPEG objects
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# Create sub-mesh for plotting
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hx = mesh.hx
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hy = mesh.hy
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hx_sub = hx[padc:-padc]
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hy_sub = hy[padc:]
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mesh_sub = Mesh.TensorMesh([hx_sub,hy_sub],(mesh.vectorNx[padc], mesh.vectorNy[padc]))
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model_sub = model.reshape(mesh.nCy,mesh.nCx)
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model_sub = mkvc(model_sub[padc:,padc:-padc].T)
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xx = mesh_sub.vectorCCx
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yy = mesh_sub.vectorCCy
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#%% Solve
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#txii = range(50,1950,100)
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#jx_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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#jy_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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fig = plt.figure(figsize=(10,5))
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axs = plt.axes(ylim = (yy[0],yy[-1]+mesh.hy[-1]*2), xlim = (xx[0],xx[-1]))#
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plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
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plt.ylim(yy[0],yy[-1]+mesh.hy[-1]*2)
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plt.xlim(xx[0],xx[-1])
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#im1 = axs.pcolormesh([],[],[], alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#im2 = axs.pcolormesh([],[],[],alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im3 = axs.streamplot(xx, yy, np.zeros((mesh_sub.nCy,mesh_sub.nCx)), np.zeros((mesh_sub.nCy,mesh_sub.nCx)),color='k')
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im4 = axs.scatter([],[], c='r', s=200)
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im5 = axs.scatter([],[], c='r', s=200)
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#==============================================================================
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# def init():
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# im1.set_data([[],[],[]])
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# im2.set_data([[],[],[]])
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#
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# return [im1]+[im2]
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#==============================================================================
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def animate(ii):
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#for ii in range(len(txii)):
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removeStream()
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tx = np.asarray(np.c_[Tx[ii],np.ones(Tx[ii].shape[0])*mesh.vectorNy[-1]-1])
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inds = Utils.closestPoints(mesh, tx )
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RHS = mesh.getInterpolationMat( tx , 'CC').T*( [-1,1] / mesh.vol[inds] )
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if re.match(slvr,'BiCGStab'):
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Iterative Solve
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phi = sp.linalg.bicgstab(P*A,P*RHS, tol=1e-5)
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phi = mkvc(phi[0])
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elif re.match(slvr,'LU'):
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#Direct Solve
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phi = Ainv.solve(RHS)
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j = -Msig*Grad*phi
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j_CC = mesh.aveF2CCV*j
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# Compute charge density solving div*grad*phi
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Q = -mesh.faceDiv*mesh.cellGrad*phi
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jx_CC = j_CC[0:mesh.nC].reshape(mesh.nCy,mesh.nCx)
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jy_CC = j_CC[mesh.nC:].reshape(mesh.nCy,mesh.nCx)
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#%% Grab only the core for presentation
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jx_CC_sub = jx_CC[padc:,padc:-padc]
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jy_CC_sub = jy_CC[padc:,padc:-padc]
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Q_sub = Q.reshape(mesh.nCy,mesh.nCx)
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Q_sub = Q_sub[padc:,padc:-padc]
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J_rho = np.sqrt(jx_CC_sub**2 + jy_CC_sub**2)
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lw = np.log10(J_rho/J_rho.min())
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#axs.imshow(Q_sub,alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#axs.imshow(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)),alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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global im1
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,Q_sub, alpha=0.75,vmin=-1e-2, vmax=1e-2)
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global im2
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)), alpha=0.25)
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global im3
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im3 = axs.streamplot(xx, yy, jx_CC_sub, jy_CC_sub,color='k',linewidth = lw,density=0.5)
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global im4
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im4 = axs.scatter(tx[0,0],mesh.vectorNy[-1], c='r', s=75, marker='v' )
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global im5
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im5 = axs.scatter(tx[1,0],mesh.vectorNy[-1], c='b', s=75, marker='v' )
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#plt.show()
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#im1.set_array(Q_sub)
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#im2.set_array(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)))
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#im2.set_array(mesh_sub.vectorCCx, mesh_sub.vectorCCy,jx_CC_sub.T,jy_CC_sub.T)
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#return [im1] + [im2]
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#%% Create widget
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def removeStream():
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global im1
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im1.remove()
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global im2
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im2.remove()
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global im3
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im3.lines.remove()
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axs.patches = []
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global im4
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im4.remove()
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global im5
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im5.remove()
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#def viewInv(msh,iteration):
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#, linewidth=lw.T
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#%%
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#interact(viewInv,msh = mesh_sub, iteration = IntSlider(min=0, max=len(txii)-1 ,step=1, value=0))
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# set embed_frames=True to embed base64-encoded frames directly in the HTML
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anim = animation.FuncAnimation(fig, animate,
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frames=len(Tx), interval=5)
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anim.save(home_dir + '\\animation.html', writer=HTMLWriter(embed_frames=True))
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