1 | loadString(" |
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2 | model Test |
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3 | parameter Integer N = 100; |
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4 | parameter Real k_min = 1; |
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5 | parameter Real k_max = 2; |
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6 | parameter Real d_0_a = 0.5; |
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7 | parameter Real d_0_b = 3; |
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8 | parameter Real d_tot = 1; |
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9 | final parameter Real s_0_a = d_0_a/N; |
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10 | final parameter Real s_0_b = d_0_b/N; |
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11 | Real d[N+1]; |
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12 | Real s[N]; |
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13 | Real F_a[N]; |
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14 | Real F_b[N]; |
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15 | Real k[N]; |
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16 | equation |
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17 | d[1] = 0; |
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18 | for i in 1:N loop |
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19 | d[i+1] = d[i] + s[i]; |
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20 | s[i]*(1 + abs(s[i])/s_0_a)*k[i]*N = F_a[i]; |
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21 | s[i]*(1 + abs(s[i])/s_0_b)*k[i]*N = F_b[i]; |
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22 | k[i] = k_min + (k_max-k_min)/(N-1)*(i-1); |
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23 | end for; |
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24 | for i in 1:N-1 loop |
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25 | F_a[i] + F_b[i] = F_a[i+1] + F_b[i+1]; |
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26 | end for; |
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27 | d[end] = d_tot; |
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28 | end Test; |
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29 | ");getErrorString(); |
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30 | |
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31 | loadString(" |
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32 | // Well-scaled models |
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33 | model TestW1 \"Base case\" |
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34 | extends Test; |
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35 | end TestW1; |
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36 | |
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37 | model TestW2 \"Less variables\" |
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38 | extends TestW1(N = 10); |
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39 | end TestW2; |
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40 | |
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41 | model TestW3 \"More variables\" |
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42 | extends TestW1(N = 1000); |
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43 | end TestW3; |
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44 | |
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45 | model TestW4 \"More strongly nonlinear\" |
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46 | extends TestW1(d_0_a = 0.1, d_0_b = 1); |
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47 | end TestW4; |
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48 | |
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49 | // Badly-scaled models |
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50 | model TestB1 \"Base case\" |
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51 | extends Test(k_min = 1e9, k_max = 2e9, |
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52 | F_a(each nominal = 1e9), F_b(each nominal = 1e9)); |
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53 | end TestB1; |
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54 | |
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55 | model TestB2 \"Less variables\" |
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56 | extends TestB1(N = 10); |
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57 | end TestB2; |
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58 | |
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59 | model TestB3 \"More variables\" |
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60 | extends TestB1(N = 1000); |
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61 | end TestB3; |
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62 | |
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63 | model TestB4 \"More strongly nonlinear\" |
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64 | extends TestB1(d_0_a = 0.1, d_0_b = 1); |
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65 | end TestB4; |
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66 | |
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67 | model TestB5 \"Less badly scaled\" |
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68 | extends TestB1(k_min = 1e6, k_max = 2e6, |
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69 | F_a(each nominal = 1e6), F_b(each nominal = 1e6)); |
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70 | end TestB5; |
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71 | |
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72 | model TestB6 \"More badly scaled\" |
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73 | extends TestB1(k_min = 1e12, k_max = 2e12, |
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74 | F_a(each nominal = 1e12), F_b(each nominal = 1e12)); |
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75 | end TestB6; |
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76 | |
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77 | model TestB7 \"Nominal values off by 3 o.d.g.\" |
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78 | extends TestB1(F_a(each nominal = 1e6), F_b(each nominal = 1e6)); |
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79 | end TestB7; |
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80 | |
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81 | model TestB8 \"Nominal values off by 5 o.d.g.\" |
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82 | extends TestB1(F_a(each nominal = 1e4), F_b(each nominal = 1e4)); |
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83 | end TestB8; |
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84 | |
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85 | model TestB9 \"Nominal values off by 7 o.d.g.\" |
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86 | extends TestB1(F_a(each nominal = 1e2), F_b(each nominal = 1e2)); |
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87 | end TestB9; |
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88 | |
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89 | model TestB10 \"Nominal values off by 9 o.d.g.\" |
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90 | extends TestB1(F_a(each nominal = 1e0), F_b(each nominal = 1e0)); |
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91 | end TestB10; |
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92 | |
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93 | |
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94 | ");getErrorString(); |
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95 | |
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96 | setCommandLineOptions("--maxSizeNonlinearTearing=0");getErrorString(); |
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97 | setCommandLineOptions("--preOptModules-=removeSimpleEquations");getErrorString(); |
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98 | setCommandLineOptions("--postOptModules-=removeSimpleEquations");getErrorString(); |
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99 | setCommandLineOptions("--maxSizeNonlinearTearing=0");getErrorString(); |
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100 | |
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101 | //simulate(TestW1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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102 | //simulate(TestW2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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103 | //simulate(TestW3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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104 | //simulate(TestW4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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105 | |
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106 | //simulate(TestB1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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107 | //simulate(TestB2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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108 | //simulate(TestB3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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109 | //simulate(TestB4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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110 | //simulate(TestB5, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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111 | //simulate(TestB6, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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112 | //simulate(TestB7, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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113 | //simulate(TestB8, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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114 | //simulate(TestB9, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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115 | //simulate(TestB10, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); |
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116 | |
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117 | //simulate(TestB1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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118 | //simulate(TestB2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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119 | //simulate(TestB3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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120 | //simulate(TestB4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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121 | simulate(TestB5, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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122 | simulate(TestB6, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); |
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