| 1 | """View results of runup.py |
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| 2 | """ |
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| 3 | #--------------- |
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| 4 | # Import Modules |
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| 5 | #--------------- |
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| 6 | #import anuga |
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| 7 | #import struct |
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| 8 | import numpy |
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| 9 | #import scipy |
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| 10 | from matplotlib import pyplot as pyplot |
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| 11 | #import util |
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| 12 | from bal_and import plot_utils as util |
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| 13 | |
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| 14 | p=util.get_output('parabola_v2.sww', 0.001) |
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| 15 | p2=util.get_centroids(p, velocity_extrapolation=True) |
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| 16 | |
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| 17 | # Define some 'lines' along which to plot |
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| 18 | v=(p2.y==p2.y[0]) |
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| 19 | |
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| 20 | #-------------------- |
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| 21 | # Make plot animation |
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| 22 | #-------------------- |
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| 23 | pyplot.close() #If the plot is open, there will be problems |
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| 24 | pyplot.ion() |
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| 25 | |
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| 26 | if False: |
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| 27 | line, = pyplot.plot( (p2.x[v].min(),p2.x[v].max()) ,(p2.stage[:,v].min(),p2.stage[:,v].max() ) ) |
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| 28 | for i in range(700,p2.xmom.shape[0]): |
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| 29 | line.set_xdata(p2.x[v]) |
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| 30 | line.set_ydata(p2.stage[i,v]) |
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| 31 | pyplot.draw() |
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| 32 | #pyplot.plot( (0,1),(0,0), 'r' ) |
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| 33 | #pyplot.plot(p2.x[v],p2.elev[v]) |
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| 34 | pyplot.title(str(i)+'/200') # : velocity does not converge to zero' ) |
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| 35 | pyplot.xlabel('x') |
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| 36 | pyplot.ylabel('stage (m/s)') |
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| 37 | |
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| 38 | if False: |
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| 39 | pyplot.clf() |
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| 40 | |
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| 41 | line, = pyplot.plot( (p2.x[v].min(),p2.x[v].max()) ,(p2.xvel[:,v].min(),p2.xvel[:,v].max() ), 'ro' ) |
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| 42 | for i in range(700,p2.xmom.shape[0]): |
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| 43 | line.set_xdata(p2.x[v]) |
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| 44 | line.set_ydata(p2.xvel[i,v]) |
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| 45 | pyplot.draw() |
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| 46 | pyplot.plot( (p2.x[v].min(),p2.x[v].max()),(0,0), 'ro' ) |
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| 47 | #pyplot.plot(x[v],elev[v]) |
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| 48 | pyplot.title(str(i)+'/200') # : velocity does not converge to zero' ) |
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| 49 | pyplot.xlabel('x') |
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| 50 | pyplot.ylabel('xvel (m/s)') |
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| 51 | |
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| 52 | D0=4.0 |
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| 53 | L=10.0 |
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| 54 | A=2.0 |
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| 55 | g=9.8 |
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| 56 | #t=time[30] |
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| 57 | |
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| 58 | omega=numpy.sqrt(2*D0*g)/L |
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| 59 | T= 2*numpy.pi/omega |
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| 60 | ppp= (abs(p2.x-4.*L/2.)).argmin() |
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| 61 | ppp2= (abs(p2.x-4.*L/4.)).argmin() |
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| 62 | |
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| 63 | w = D0 + 2*A*D0/(L**2)*numpy.cos(omega*p2.time)*( (p2.x[ppp]-4.*L/2.) -A/2.*numpy.cos(omega*p2.time)) |
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| 64 | w2 = D0 + 2*A*D0/(L**2)*numpy.cos(omega*p2.time)*( (p2.x[ppp2]-4.*L/2.) -A/2.*numpy.cos(omega*p2.time)) |
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| 65 | w2 = w2*(w2>p2.elev[ppp2])+p2.elev[ppp2]*(w2<=p2.elev[ppp2]) |
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| 66 | |
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| 67 | pyplot.clf() |
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| 68 | pyplot.plot(p2.time,w, color='blue') |
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| 69 | pyplot.plot(p2.time,p2.stage[:,ppp], color='green') |
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| 70 | pyplot.savefig('Stage_centre_v2.png') |
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| 71 | # pyplot.savefig('runup_x_velocities.png') |
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| 72 | pyplot.clf() |
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| 73 | pyplot.plot(p2.time,w2, color='blue') |
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| 74 | pyplot.plot(p2.time,p2.stage[:,ppp2], color='green') |
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| 75 | pyplot.savefig('Stage_centre_v3.png') |
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| 76 | |
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| 77 | |
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| 78 | pltind=numpy.argmin(abs(p2.time-T*3)) |
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| 79 | |
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| 80 | pyplot.clf() |
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| 81 | pyplot.plot(p2.x[v],p2.xvel[pltind,v]) |
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| 82 | pyplot.title('Velocity near to time=3T') |
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| 83 | pyplot.savefig('Vel_3T_v2.png') |
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| 84 | |
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| 85 | pltind=numpy.argmin(abs(p2.time-T*3.25)) |
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| 86 | |
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| 87 | pyplot.clf() |
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| 88 | pyplot.plot(p2.x[v],p2.xvel[pltind,v]) |
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| 89 | pyplot.title('Velocity near to time=3.25T') |
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| 90 | pyplot.savefig('Vel_3_5T_v2.png') |
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| 91 | #pyplot.clf() |
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| 92 | #pyplot.close() |
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