1 | import os |
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2 | from math import sqrt |
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3 | from shallow_water_domain_h_wellbalanced import * |
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4 | from Numeric import zeros, Float |
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5 | from scipy import linspace |
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6 | #from analytic_dam_sudi import AnalyticDam |
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7 | |
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8 | h0=5.0 |
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9 | h1=10.0 |
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10 | |
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11 | #analytical_sol=AnalyticDam(h0,h1) |
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12 | |
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13 | |
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14 | print "TEST 1D-SOLUTION I" |
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15 | |
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16 | L=2000.0 |
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17 | N=16000 |
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18 | |
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19 | cell_len=L/N |
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20 | |
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21 | points=zeros(N+1, Float) |
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22 | for i in range(N+1): |
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23 | points[i]=i*cell_len |
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24 | |
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25 | domain=Domain(points) |
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26 | |
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27 | domain.order = 2 |
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28 | domain.set_timestepping_method('rk2') |
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29 | domain.cfl = 1.0 |
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30 | domain.limiter = "minmod" |
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31 | |
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32 | |
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33 | |
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34 | def stage(x): |
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35 | y=zeros(len(x), Float) |
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36 | for i in range (len(x)): |
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37 | if x[i]<=L/4.0: |
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38 | y[i]=0.0 #h0 |
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39 | elif x[i]<=3*L/4.0: |
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40 | y[i]=h1 |
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41 | else: |
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42 | y[i]=h0 |
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43 | return y |
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44 | |
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45 | def elevation(x): |
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46 | y=zeros(len(x), Float) |
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47 | for i in range (len(x)): |
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48 | if x[i]<=500: |
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49 | y[i]=4*x[i]*x[i]/250000 |
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50 | elif x[i]<=1500: |
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51 | y[i]=(500-x[i])/1000 + 4 |
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52 | else: |
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53 | y[i]=-3*(x[i]-1000)*(x[i]-2000)/250000 |
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54 | return y |
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55 | |
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56 | |
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57 | P=linspace(0,2000,2000) |
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58 | Elev_bed=elevation(P) |
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59 | |
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60 | domain.set_quantity('stage',stage) |
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61 | domain.set_quantity('elevation', elevation) |
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62 | print "domain order", domain.order |
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63 | |
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64 | domain.set_boundary({'exterior':Reflective_boundary(domain)}) |
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65 | |
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66 | X=domain.vertices |
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67 | C=domain.centroids |
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68 | #plot1x=newLinePlot("Height") |
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69 | #plot2x=newLinePlot("Momentum") |
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70 | |
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71 | import time |
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72 | yieldstep=finaltime=0.0001 |
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73 | t0=time.time() |
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74 | |
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75 | i=1 |
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76 | while finaltime < 0.00011: |
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77 | for t in domain.evolve(yieldstep=yieldstep, finaltime=finaltime): |
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78 | domain.write_time() |
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79 | #if t>0.0: |
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80 | #N = float(N) |
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81 | #StageC = domain.quantities['stage'].centroid_values |
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82 | #XmomC = domain.quantities['xmomentum'].centroid_values |
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83 | #VelC = domain.quantities['velocity'].centroid_values |
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84 | #C = domain.centroids |
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85 | #hC, uhC, uC = analytical_sol(C,domain.time) |
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86 | |
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87 | |
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88 | #h_error = sum(abs(hC-StageC))/N |
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89 | #uh_error = sum(abs(uhC-XmomC))/N |
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90 | #u_error = sum(abs(uC-VelC))/N |
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91 | #print "h_error %.10f" %(h_error) |
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92 | #print "uh_error %.10f"%(uh_error) |
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93 | #print "u_error %.10f" %(u_error) |
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94 | #print 'That took %.2f seconds' %(time.time()-t0) |
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95 | X = domain.vertices |
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96 | StageQ = domain.quantities['stage'].vertex_values |
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97 | XmomQ = domain.quantities['xmomentum'].vertex_values |
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98 | VelQ = domain.quantities['velocity'].vertex_values |
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99 | |
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100 | #h, uh, u = analytical_sol(X.flat, domain.time) |
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101 | #linePlot(plot1x, X, HeightQ, X, h) |
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102 | #linePlot(plot2x, X, MomentumQ, X, uh) |
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103 | #print "press return" |
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104 | #pass |
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105 | |
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106 | from pylab import plot,title,xlabel,ylabel,legend,savefig,show,hold,subplot |
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107 | hold(False) |
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108 | |
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109 | plot1 = subplot(311) |
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110 | plot(X,StageQ, P,Elev_bed) #plot(X,StageQ,'k-', P,Elev_bed,'k:') |
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111 | plot1.set_ylim([-1,11]) |
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112 | plot1.set_xlim([0.0,2000.0]) |
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113 | #xlabel('Position') |
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114 | ylabel('Stage') |
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115 | #legend(('Analytical Solution', 'Numerical Solution'), |
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116 | # 'lower right', shadow=False) |
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117 | |
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118 | plot2 = subplot(312) |
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119 | plot(X,XmomQ) #plot(X,XmomQ,'k-') |
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120 | #plot2.set_ylim([-5,35]) |
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121 | plot2.set_xlim([0.0,2000.0]) |
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122 | #legend(('Analytical Solution', 'Numerical Solution'), |
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123 | # 'lower right', shadow=False) |
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124 | #xlabel('Position') |
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125 | ylabel('Momentum') |
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126 | plot3 = subplot(313) |
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127 | plot(X,VelQ) #plot(X,VelQ,'k-') |
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128 | #plot2.set_ylim([-5,35]) |
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129 | plot3.set_xlim([0.0,2000.0]) |
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130 | legend(('Penyelesaian Numeris', ' '), |
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131 | 'lower right', shadow=False) |
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132 | xlabel('Posisi') |
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133 | ylabel('Kecepatan') |
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134 | |
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135 | #file = "dam" |
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136 | #file += str(finaltime) |
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137 | #file += ".png" |
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138 | #savefig(file) |
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139 | #show() |
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140 | |
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141 | filename = "%s%02i%s" %("dam_init2_", i, ".eps") |
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142 | savefig(filename) |
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143 | finaltime = finaltime + 0.25 |
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144 | i = i + 1 |
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