1 | """Class Domain - |
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2 | 1D interval domains for finite-volume computations of |
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3 | the shallow water wave equation. |
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4 | |
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5 | This module contains a specialisation of class Domain from module domain.py |
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6 | consisting of methods specific to the Shallow Water Wave Equation |
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7 | |
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8 | |
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9 | U_t + E_x = S |
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10 | |
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11 | where |
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12 | |
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13 | U = [w, uh] |
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14 | E = [uh, u^2h + gh^2/2] |
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15 | S represents source terms forcing the system |
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16 | (e.g. gravity, friction, wind stress, ...) |
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17 | |
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18 | and _t, _x, _y denote the derivative with respect to t, x and y respectiely. |
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19 | |
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20 | The quantities are |
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21 | |
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22 | symbol variable name explanation |
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23 | x x horizontal distance from origin [m] |
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24 | z elevation elevation of bed on which flow is modelled [m] |
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25 | h height water height above z [m] |
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26 | w stage absolute water level, w = z+h [m] |
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27 | u speed in the x direction [m/s] |
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28 | uh xmomentum momentum in the x direction [m^2/s] |
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29 | |
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30 | eta mannings friction coefficient [to appear] |
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31 | nu wind stress coefficient [to appear] |
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32 | |
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33 | The conserved quantities are w, uh |
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34 | |
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35 | For details see e.g. |
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36 | Christopher Zoppou and Stephen Roberts, |
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37 | Catastrophic Collapse of Water Supply Reservoirs in Urban Areas, |
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38 | Journal of Hydraulic Engineering, vol. 127, No. 7 July 1999 |
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39 | |
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40 | John Jakeman, Ole Nielsen, Stephen Roberts, Duncan Gray, Christopher Zoppou |
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41 | Geoscience Australia, 2006 |
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42 | """ |
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43 | |
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44 | |
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45 | from domain import * |
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46 | Generic_Domain = Domain #Rename |
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47 | |
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48 | #Shallow water domain |
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49 | class Domain(Generic_Domain): |
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50 | |
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51 | def __init__(self, coordinates, boundary = None, tagged_elements = None): |
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52 | conserved_quantities = ['stage', 'xmomentum'] #['height', 'xmomentum'] |
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53 | evolved_quantities = ['stage', 'xmomentum', 'elevation', 'height', 'velocity'] |
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54 | other_quantities = ['friction'] |
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55 | Generic_Domain.__init__(self, coordinates, boundary, |
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56 | conserved_quantities, evolved_quantities, other_quantities, |
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57 | tagged_elements) |
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58 | |
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59 | from config import minimum_allowed_height, g, h0 |
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60 | self.minimum_allowed_height = minimum_allowed_height |
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61 | self.g = g |
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62 | self.h0 = h0 |
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63 | |
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64 | self.forcing_terms.append(gravity) |
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65 | #self.forcing_terms.append(manning_friction) |
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66 | |
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67 | #Realtime visualisation |
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68 | self.visualiser = None |
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69 | self.visualise = False |
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70 | self.visualise_color_stage = False |
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71 | self.visualise_stage_range = 1.0 |
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72 | self.visualise_timer = True |
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73 | self.visualise_range_z = None |
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74 | |
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75 | #Stored output |
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76 | self.store = True |
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77 | self.format = 'sww' |
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78 | self.smooth = True |
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79 | |
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80 | #Evolve parametrs |
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81 | self.cfl = 1.0 |
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82 | |
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83 | #Reduction operation for get_vertex_values |
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84 | from util import mean |
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85 | self.reduction = mean |
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86 | #self.reduction = min #Looks better near steep slopes |
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87 | |
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88 | self.quantities_to_be_stored = ['stage','xmomentum'] |
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89 | |
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90 | self.__doc__ = 'domain_cg' |
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91 | self.check_integrity() |
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92 | |
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93 | |
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94 | def set_quantities_to_be_stored(self, q): |
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95 | """Specify which quantities will be stored in the sww file. |
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96 | |
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97 | q must be either: |
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98 | - the name of a quantity |
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99 | - a list of quantity names |
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100 | - None |
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101 | |
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102 | In the two first cases, the named quantities will be stored at each |
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103 | yieldstep |
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104 | (This is in addition to the quantities elevation and friction) |
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105 | If q is None, storage will be switched off altogether. |
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106 | """ |
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107 | |
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108 | if q is None: |
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109 | self.quantities_to_be_stored = [] |
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110 | self.store = False |
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111 | return |
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112 | |
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113 | if isinstance(q, basestring): |
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114 | q = [q] # Turn argument into a list |
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115 | |
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116 | #Check correcness |
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117 | for quantity_name in q: |
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118 | msg = 'Quantity %s is not a valid conserved quantity' %quantity_name |
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119 | assert quantity_name in self.conserved_quantities, msg |
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120 | |
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121 | self.quantities_to_be_stored = q |
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122 | |
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123 | |
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124 | def initialise_visualiser(self,scale_z=1.0,rect=None): |
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125 | #Realtime visualisation |
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126 | if self.visualiser is None: |
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127 | from realtime_visualisation_new import Visualiser |
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128 | self.visualiser = Visualiser(self,scale_z,rect) |
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129 | self.visualiser.setup['elevation']=True |
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130 | self.visualiser.updating['stage']=True |
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131 | self.visualise = True |
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132 | if self.visualise_color_stage == True: |
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133 | self.visualiser.coloring['stage'] = True |
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134 | self.visualiser.qcolor['stage'] = (0.0, 0.0, 0.8) |
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135 | print 'initialise visualiser' |
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136 | print self.visualiser.setup |
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137 | print self.visualiser.updating |
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138 | |
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139 | def check_integrity(self): |
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140 | Generic_Domain.check_integrity(self) |
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141 | #Check that we are solving the shallow water wave equation |
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142 | |
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143 | msg = 'First conserved quantity must be "stage"' |
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144 | assert self.conserved_quantities[0] == 'stage', msg |
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145 | msg = 'Second conserved quantity must be "xmomentum"' |
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146 | assert self.conserved_quantities[1] == 'xmomentum', msg |
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147 | |
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148 | msg = 'First evolved quantity must be "stage"' |
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149 | assert self.evolved_quantities[0] == 'stage', msg |
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150 | msg = 'Second evolved quantity must be "xmomentum"' |
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151 | assert self.evolved_quantities[1] == 'xmomentum', msg |
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152 | msg = 'Third evolved quantity must be "elevation"' |
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153 | assert self.evolved_quantities[2] == 'elevation', msg |
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154 | msg = 'Fourth evolved quantity must be "height"' |
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155 | assert self.evolved_quantities[3] == 'height', msg |
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156 | msg = 'Fifth evolved quantity must be "velocity"' |
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157 | assert self.evolved_quantities[4] == 'velocity', msg |
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158 | |
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159 | def extrapolate_second_order_sw(self): |
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160 | #Call correct module function |
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161 | #(either from this module or C-extension) |
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162 | extrapolate_second_order_sw(self) |
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163 | |
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164 | def compute_fluxes(self): |
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165 | #Call correct module function |
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166 | #(either from this module or C-extension) |
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167 | compute_fluxes_C_wellbalanced(self) |
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168 | |
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169 | def compute_timestep(self): |
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170 | #Call correct module function |
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171 | compute_timestep(self) |
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172 | |
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173 | def distribute_to_vertices_and_edges(self): |
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174 | #Call correct module function |
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175 | #(either from this module or C-extension) |
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176 | distribute_to_vertices_and_edges(self) |
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177 | |
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178 | def evolve(self, yieldstep = None, finaltime = None, duration = None, skip_initial_step = False): |
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179 | #Call basic machinery from parent class |
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180 | for t in Generic_Domain.evolve(self, yieldstep, finaltime, duration, skip_initial_step): |
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181 | yield(t) |
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182 | |
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183 | def initialise_storage(self): |
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184 | """Create and initialise self.writer object for storing data. |
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185 | Also, save x and bed elevation |
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186 | """ |
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187 | |
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188 | import data_manager |
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189 | |
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190 | #Initialise writer |
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191 | self.writer = data_manager.get_dataobject(self, mode = 'w') |
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192 | |
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193 | #Store vertices and connectivity |
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194 | self.writer.store_connectivity() |
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195 | |
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196 | |
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197 | def store_timestep(self, name): |
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198 | """Store named quantity and time. |
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199 | |
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200 | Precondition: |
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201 | self.write has been initialised |
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202 | """ |
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203 | self.writer.store_timestep(name) |
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204 | |
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205 | |
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206 | #=============== End of Shallow Water Domain =============================== |
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207 | |
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208 | #Rotation of momentum vector |
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209 | def rotate(q, normal, direction = 1): |
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210 | """Rotate the momentum component q (q[1], q[2]) |
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211 | from x,y coordinates to coordinates based on normal vector. |
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212 | |
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213 | If direction is negative the rotation is inverted. |
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214 | |
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215 | Input vector is preserved |
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216 | |
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217 | This function is specific to the shallow water wave equation |
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218 | """ |
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219 | |
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220 | from Numeric import Float |
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221 | from numpy import zeros |
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222 | |
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223 | assert len(q) == 3,\ |
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224 | 'Vector of conserved quantities must have length 3'\ |
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225 | 'for 2D shallow water equation' |
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226 | |
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227 | try: |
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228 | l = len(normal) |
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229 | except: |
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230 | raise 'Normal vector must be an Numeric array' |
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231 | |
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232 | assert l == 2, 'Normal vector must have 2 components' |
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233 | |
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234 | |
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235 | n1 = normal[0] |
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236 | n2 = normal[1] |
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237 | |
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238 | r = zeros(len(q), Float) #Rotated quantities |
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239 | r[0] = q[0] #First quantity, height, is not rotated |
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240 | |
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241 | if direction == -1: |
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242 | n2 = -n2 |
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243 | |
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244 | |
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245 | r[1] = n1*q[1] + n2*q[2] |
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246 | r[2] = -n2*q[1] + n1*q[2] |
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247 | |
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248 | return r |
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249 | |
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250 | |
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251 | def flux_function(normal, ql, qr, zl, zr): |
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252 | """Compute fluxes between volumes for the shallow water wave equation |
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253 | cast in terms of w = h+z using the 'central scheme' as described in |
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254 | |
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255 | Kurganov, Noelle, Petrova. 'Semidiscrete Central-Upwind Schemes For |
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256 | Hyperbolic Conservation Laws and Hamilton-Jacobi Equations'. |
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257 | Siam J. Sci. Comput. Vol. 23, No. 3, pp. 707-740. |
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258 | |
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259 | The implemented formula is given in equation (3.15) on page 714 |
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260 | |
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261 | Conserved quantities w, uh, are stored as elements 0 and 1 |
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262 | in the numerical vectors ql an qr. |
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263 | |
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264 | Bed elevations zl and zr. |
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265 | """ |
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266 | |
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267 | from config import g, epsilon, h0 |
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268 | from math import sqrt |
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269 | from numpy import array |
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270 | |
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271 | #Align momentums with x-axis |
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272 | q_left = ql |
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273 | q_left[1] = q_left[1]*normal |
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274 | q_right = qr |
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275 | q_right[1] = q_right[1]*normal |
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276 | |
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277 | z = 0.5*(zl+zr) #Take average of field values |
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278 | |
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279 | w_left = q_left[0] #w=h+z |
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280 | h_left = w_left-z |
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281 | uh_left = q_left[1] |
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282 | |
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283 | if h_left < epsilon: |
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284 | u_left = 0.0 #Could have been negative |
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285 | h_left = 0.0 |
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286 | else: |
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287 | u_left = uh_left/(h_left + h0/h_left) |
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288 | |
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289 | |
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290 | uh_left = u_left*h_left |
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291 | |
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292 | |
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293 | w_right = q_right[0] #w=h+z |
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294 | h_right = w_right-z |
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295 | uh_right = q_right[1] |
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296 | |
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297 | if h_right < epsilon: |
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298 | u_right = 0.0 #Could have been negative |
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299 | h_right = 0.0 |
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300 | else: |
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301 | u_right = uh_right/(h_right + h0/h_right) |
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302 | |
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303 | uh_right = u_right*h_right |
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304 | |
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305 | |
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306 | #We have got h and u at vertex, then the following is the calculation of fluxes! |
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307 | soundspeed_left = sqrt(g*h_left) |
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308 | soundspeed_right = sqrt(g*h_right) |
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309 | |
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310 | #Maximal wave speed |
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311 | s_max = max(u_left+soundspeed_left, u_right+soundspeed_right, 0) |
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312 | |
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313 | #Minimal wave speed |
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314 | s_min = min(u_left-soundspeed_left, u_right-soundspeed_right, 0) |
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315 | |
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316 | #Flux computation |
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317 | flux_left = array([u_left*h_left, |
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318 | u_left*uh_left + 0.5*g*h_left*h_left]) |
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319 | flux_right = array([u_right*h_right, |
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320 | u_right*uh_right + 0.5*g*h_right*h_right]) |
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321 | |
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322 | denom = s_max-s_min |
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323 | if denom == 0.0: |
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324 | edgeflux = array([0.0, 0.0]) |
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325 | max_speed = 0.0 |
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326 | else: |
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327 | edgeflux = (s_max*flux_left - s_min*flux_right)/denom |
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328 | edgeflux += s_max*s_min*(q_right-q_left)/denom |
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329 | |
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330 | edgeflux[1] = edgeflux[1]*normal |
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331 | |
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332 | max_speed = max(abs(s_max), abs(s_min)) |
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333 | |
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334 | return edgeflux, max_speed |
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335 | |
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336 | # |
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337 | def compute_timestep(domain): |
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338 | import sys |
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339 | from Numeric import Float |
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340 | from numpy import zeros |
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341 | |
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342 | N = domain.number_of_elements |
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343 | |
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344 | #Shortcuts |
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345 | Stage = domain.quantities['stage'] |
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346 | Xmom = domain.quantities['xmomentum'] |
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347 | Bed = domain.quantities['elevation'] |
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348 | |
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349 | stage = Stage.vertex_values |
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350 | xmom = Xmom.vertex_values |
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351 | bed = Bed.vertex_values |
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352 | |
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353 | stage_bdry = Stage.boundary_values |
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354 | xmom_bdry = Xmom.boundary_values |
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355 | |
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356 | flux = zeros(2, Float) #Work array for summing up fluxes |
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357 | ql = zeros(2, Float) |
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358 | qr = zeros(2, Float) |
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359 | |
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360 | #Loop |
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361 | timestep = float(sys.maxint) |
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362 | enter = True |
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363 | for k in range(N): |
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364 | |
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365 | flux[:] = 0. #Reset work array |
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366 | for i in range(2): |
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367 | #Quantities inside volume facing neighbour i |
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368 | ql = [stage[k, i], xmom[k, i]] |
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369 | zl = bed[k, i] |
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370 | |
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371 | #Quantities at neighbour on nearest face |
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372 | n = domain.neighbours[k,i] |
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373 | if n < 0: |
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374 | m = -n-1 #Convert negative flag to index |
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375 | qr[0] = stage_bdry[m] |
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376 | qr[1] = xmom_bdry[m] |
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377 | zr = zl #Extend bed elevation to boundary |
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378 | else: |
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379 | m = domain.neighbour_vertices[k,i] |
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380 | qr[0] = stage[n, m] |
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381 | qr[1] = xmom[n, m] |
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382 | zr = bed[n, m] |
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383 | |
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384 | |
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385 | #Outward pointing normal vector |
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386 | normal = domain.normals[k, i] |
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387 | |
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388 | edgeflux, max_speed = flux_function(normal, ql, qr, zl, zr) |
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389 | |
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390 | #Update optimal_timestep |
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391 | try: |
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392 | timestep = min(timestep, domain.cfl*0.5*domain.areas[k]/max_speed) |
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393 | except ZeroDivisionError: |
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394 | pass |
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395 | |
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396 | domain.timestep = timestep |
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397 | |
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398 | # Compute flux definition |
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399 | # ################################### |
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400 | def compute_fluxes_C_wellbalanced(domain): |
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401 | import sys |
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402 | from Numeric import Float |
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403 | from numpy import zeros |
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404 | |
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405 | N = domain.number_of_elements |
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406 | timestep = float(sys.maxint) |
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407 | epsilon = domain.epsilon |
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408 | g = domain.g |
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409 | neighbours = domain.neighbours |
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410 | neighbour_vertices = domain.neighbour_vertices |
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411 | normals = domain.normals |
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412 | areas = domain.areas |
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413 | |
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414 | Stage = domain.quantities['stage'] |
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415 | Xmom = domain.quantities['xmomentum'] |
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416 | Bed = domain.quantities['elevation'] |
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417 | Height = domain.quantities['height'] |
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418 | Velocity = domain.quantities['velocity'] |
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419 | |
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420 | |
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421 | stage_boundary_values = Stage.boundary_values |
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422 | xmom_boundary_values = Xmom.boundary_values |
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423 | bed_boundary_values = Bed.boundary_values |
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424 | height_boundary_values= Height.boundary_values |
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425 | vel_boundary_values = Velocity.boundary_values |
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426 | |
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427 | stage_explicit_update = Stage.explicit_update |
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428 | xmom_explicit_update = Xmom.explicit_update |
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429 | bed_explicit_values = Bed.explicit_update |
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430 | height_explicit_values= Height.explicit_update |
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431 | vel_explicit_values = Velocity.explicit_update |
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432 | |
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433 | max_speed_array = domain.max_speed_array |
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434 | |
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435 | domain.distribute_to_vertices_and_edges() |
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436 | domain.update_boundary() |
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437 | |
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438 | stage_V = Stage.vertex_values |
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439 | xmom_V = Xmom.vertex_values |
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440 | bed_V = Bed.vertex_values |
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441 | height_V= Height.vertex_values |
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442 | vel_V = Velocity.vertex_values |
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443 | |
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444 | number_of_elements = len(stage_V) |
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445 | |
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446 | from comp_flux_ext_wellbalanced import compute_fluxes_ext_wellbalanced |
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447 | domain.flux_timestep = compute_fluxes_ext_wellbalanced(timestep, |
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448 | epsilon, |
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449 | g, |
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450 | |
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451 | neighbours, |
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452 | neighbour_vertices, |
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453 | normals, |
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454 | areas, |
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455 | |
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456 | stage_V, |
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457 | xmom_V, |
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458 | bed_V, |
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459 | height_V, |
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460 | vel_V, |
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461 | |
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462 | stage_boundary_values, |
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463 | xmom_boundary_values, |
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464 | bed_boundary_values, |
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465 | height_boundary_values, |
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466 | vel_boundary_values, |
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467 | |
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468 | stage_explicit_update, |
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469 | xmom_explicit_update, |
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470 | bed_explicit_values, |
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471 | height_explicit_values, |
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472 | vel_explicit_values, |
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473 | |
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474 | number_of_elements, |
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475 | max_speed_array) |
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476 | |
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477 | |
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478 | |
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479 | # ################################### |
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480 | # Module functions for gradient limiting (distribute_to_vertices_and_edges) |
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481 | |
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482 | def distribute_to_vertices_and_edges(domain): |
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483 | """Distribution from centroids to vertices specific to the |
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484 | shallow water wave |
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485 | equation. |
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486 | |
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487 | It will ensure that h (w-z) is always non-negative even in the |
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488 | presence of steep bed-slopes by taking a weighted average between shallow |
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489 | and deep cases. |
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490 | |
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491 | In addition, all conserved quantities get distributed as per either a |
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492 | constant (order==1) or a piecewise linear function (order==2). |
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493 | |
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494 | FIXME: more explanation about removal of artificial variability etc |
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495 | |
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496 | Precondition: |
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497 | All quantities defined at centroids and bed elevation defined at |
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498 | vertices. |
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499 | |
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500 | Postcondition |
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501 | Conserved quantities defined at vertices |
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502 | |
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503 | """ |
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504 | |
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505 | #from config import optimised_gradient_limiter |
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506 | |
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507 | #Remove very thin layers of water |
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508 | #protect_against_infinitesimal_and_negative_heights(domain) |
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509 | |
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510 | import sys |
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511 | from Numeric import Float |
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512 | from numpy import zeros |
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513 | from config import epsilon, h0, h_min |
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514 | |
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515 | N = domain.number_of_elements |
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516 | |
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517 | #Shortcuts |
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518 | Stage = domain.quantities['stage'] |
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519 | Xmom = domain.quantities['xmomentum'] |
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520 | Bed = domain.quantities['elevation'] |
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521 | Height = domain.quantities['height'] |
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522 | Velocity = domain.quantities['velocity'] |
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523 | |
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524 | #Arrays |
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525 | w_C = Stage.centroid_values |
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526 | uh_C = Xmom.centroid_values |
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527 | z_C = Bed.centroid_values |
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528 | h_C = Height.centroid_values |
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529 | u_C = Velocity.centroid_values |
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530 | |
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531 | for i in range(N): |
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532 | h_C[i] = w_C[i] - z_C[i] |
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533 | if h_C[i] <= 0.01: #epsilon : |
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534 | #h_C[i] = 0.0 |
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535 | #w_C[i] = z_C[i] |
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536 | uh_C[i] = 0.0 |
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537 | u_C[i] = 0.0 |
---|
538 | |
---|
539 | if h_C[i] < epsilon: #h_min: |
---|
540 | h_C[i] = 0.0 |
---|
541 | w_C[i] = z_C[i] |
---|
542 | else: |
---|
543 | u_C[i] = uh_C[i]/h_C[i] #+ h0/h_C[i]) |
---|
544 | |
---|
545 | for name in ['stage', 'height', 'velocity']: |
---|
546 | Q = domain.quantities[name] |
---|
547 | if domain.order == 1: |
---|
548 | Q.extrapolate_first_order() |
---|
549 | elif domain.order == 2: |
---|
550 | Q.extrapolate_second_order() |
---|
551 | else: |
---|
552 | raise 'Unknown order' |
---|
553 | |
---|
554 | stage_V = domain.quantities['stage'].vertex_values |
---|
555 | bed_V = domain.quantities['elevation'].vertex_values |
---|
556 | h_V = domain.quantities['height'].vertex_values |
---|
557 | u_V = domain.quantities['velocity'].vertex_values |
---|
558 | xmom_V = domain.quantities['xmomentum'].vertex_values |
---|
559 | |
---|
560 | bed_V[:] = stage_V - h_V |
---|
561 | xmom_V[:] = u_V * h_V |
---|
562 | |
---|
563 | return |
---|
564 | |
---|
565 | |
---|
566 | # |
---|
567 | def protect_against_infinitesimal_and_negative_heights(domain): |
---|
568 | """Protect against infinitesimal heights and associated high velocities |
---|
569 | """ |
---|
570 | |
---|
571 | #Shortcuts |
---|
572 | wc = domain.quantities['stage'].centroid_values |
---|
573 | zc = domain.quantities['elevation'].centroid_values |
---|
574 | xmomc = domain.quantities['xmomentum'].centroid_values |
---|
575 | hc = wc - zc #Water depths at centroids |
---|
576 | |
---|
577 | zv = domain.quantities['elevation'].vertex_values |
---|
578 | wv = domain.quantities['stage'].vertex_values |
---|
579 | hv = wv-zv |
---|
580 | xmomv = domain.quantities['xmomentum'].vertex_values |
---|
581 | #remove the above two lines and corresponding code below |
---|
582 | |
---|
583 | #Update |
---|
584 | for k in range(domain.number_of_elements): |
---|
585 | |
---|
586 | if hc[k] < domain.minimum_allowed_height: |
---|
587 | #Control stage |
---|
588 | if hc[k] < domain.epsilon: |
---|
589 | wc[k] = zc[k] # Contain 'lost mass' error |
---|
590 | wv[k,0] = zv[k,0] |
---|
591 | wv[k,1] = zv[k,1] |
---|
592 | |
---|
593 | xmomc[k] = 0.0 |
---|
594 | |
---|
595 | |
---|
596 | def h_limiter(domain): |
---|
597 | """Limit slopes for each volume to eliminate artificial variance |
---|
598 | introduced by e.g. second order extrapolator |
---|
599 | |
---|
600 | limit on h = w-z |
---|
601 | |
---|
602 | This limiter depends on two quantities (w,z) so it resides within |
---|
603 | this module rather than within quantity.py |
---|
604 | """ |
---|
605 | |
---|
606 | from Numeric import Float |
---|
607 | from numpy import zeros |
---|
608 | |
---|
609 | N = domain.number_of_elements |
---|
610 | beta_h = domain.beta_h |
---|
611 | |
---|
612 | #Shortcuts |
---|
613 | wc = domain.quantities['stage'].centroid_values |
---|
614 | zc = domain.quantities['elevation'].centroid_values |
---|
615 | hc = wc - zc |
---|
616 | |
---|
617 | wv = domain.quantities['stage'].vertex_values |
---|
618 | zv = domain.quantities['elevation'].vertex_values |
---|
619 | hv = wv-zv |
---|
620 | |
---|
621 | hvbar = zeros(hv.shape, Float) #h-limited values |
---|
622 | |
---|
623 | #Find min and max of this and neighbour's centroid values |
---|
624 | hmax = zeros(hc.shape, Float) |
---|
625 | hmin = zeros(hc.shape, Float) |
---|
626 | |
---|
627 | for k in range(N): |
---|
628 | hmax[k] = hmin[k] = hc[k] |
---|
629 | for i in range(2): |
---|
630 | n = domain.neighbours[k,i] |
---|
631 | if n >= 0: |
---|
632 | hn = hc[n] #Neighbour's centroid value |
---|
633 | |
---|
634 | hmin[k] = min(hmin[k], hn) |
---|
635 | hmax[k] = max(hmax[k], hn) |
---|
636 | |
---|
637 | |
---|
638 | #Diffences between centroids and maxima/minima |
---|
639 | dhmax = hmax - hc |
---|
640 | dhmin = hmin - hc |
---|
641 | |
---|
642 | #Deltas between vertex and centroid values |
---|
643 | dh = zeros(hv.shape, Float) |
---|
644 | for i in range(2): |
---|
645 | dh[:,i] = hv[:,i] - hc |
---|
646 | |
---|
647 | #Phi limiter |
---|
648 | for k in range(N): |
---|
649 | |
---|
650 | #Find the gradient limiter (phi) across vertices |
---|
651 | phi = 1.0 |
---|
652 | for i in range(2): |
---|
653 | r = 1.0 |
---|
654 | if (dh[k,i] > 0): r = dhmax[k]/dh[k,i] |
---|
655 | if (dh[k,i] < 0): r = dhmin[k]/dh[k,i] |
---|
656 | |
---|
657 | phi = min( min(r*beta_h, 1), phi ) |
---|
658 | |
---|
659 | #Then update using phi limiter |
---|
660 | for i in range(2): |
---|
661 | hvbar[k,i] = hc[k] + phi*dh[k,i] |
---|
662 | |
---|
663 | return hvbar |
---|
664 | |
---|
665 | def balance_deep_and_shallow(domain): |
---|
666 | """Compute linear combination between stage as computed by |
---|
667 | gradient-limiters limiting using w, and stage computed by |
---|
668 | gradient-limiters limiting using h (h-limiter). |
---|
669 | The former takes precedence when heights are large compared to the |
---|
670 | bed slope while the latter takes precedence when heights are |
---|
671 | relatively small. Anything in between is computed as a balanced |
---|
672 | linear combination in order to avoid numerical disturbances which |
---|
673 | would otherwise appear as a result of hard switching between |
---|
674 | modes. |
---|
675 | |
---|
676 | The h-limiter is always applied irrespective of the order. |
---|
677 | """ |
---|
678 | |
---|
679 | #Shortcuts |
---|
680 | wc = domain.quantities['stage'].centroid_values |
---|
681 | zc = domain.quantities['elevation'].centroid_values |
---|
682 | hc = wc - zc |
---|
683 | |
---|
684 | wv = domain.quantities['stage'].vertex_values |
---|
685 | zv = domain.quantities['elevation'].vertex_values |
---|
686 | hv = wv-zv |
---|
687 | |
---|
688 | #Limit h |
---|
689 | hvbar = h_limiter(domain) |
---|
690 | |
---|
691 | for k in range(domain.number_of_elements): |
---|
692 | #Compute maximal variation in bed elevation |
---|
693 | # This quantitiy is |
---|
694 | # dz = max_i abs(z_i - z_c) |
---|
695 | # and it is independent of dimension |
---|
696 | # In the 1d case zc = (z0+z1)/2 |
---|
697 | # In the 2d case zc = (z0+z1+z2)/3 |
---|
698 | |
---|
699 | dz = max(abs(zv[k,0]-zc[k]), |
---|
700 | abs(zv[k,1]-zc[k]))#, |
---|
701 | # abs(zv[k,2]-zc[k])) |
---|
702 | |
---|
703 | |
---|
704 | hmin = min( hv[k,:] ) |
---|
705 | |
---|
706 | #Create alpha in [0,1], where alpha==0 means using the h-limited |
---|
707 | #stage and alpha==1 means using the w-limited stage as |
---|
708 | #computed by the gradient limiter (both 1st or 2nd order) |
---|
709 | |
---|
710 | #If hmin > dz/2 then alpha = 1 and the bed will have no effect |
---|
711 | #If hmin < 0 then alpha = 0 reverting to constant height above bed. |
---|
712 | |
---|
713 | if dz > 0.0: |
---|
714 | alpha = max( min( 2*hmin/dz, 1.0), 0.0 ) |
---|
715 | else: |
---|
716 | #Flat bed |
---|
717 | alpha = 1.0 |
---|
718 | |
---|
719 | alpha = 0.0 |
---|
720 | #Let |
---|
721 | # |
---|
722 | # wvi be the w-limited stage (wvi = zvi + hvi) |
---|
723 | # wvi- be the h-limited state (wvi- = zvi + hvi-) |
---|
724 | # |
---|
725 | # |
---|
726 | #where i=0,1,2 denotes the vertex ids |
---|
727 | # |
---|
728 | #Weighted balance between w-limited and h-limited stage is |
---|
729 | # |
---|
730 | # wvi := (1-alpha)*(zvi+hvi-) + alpha*(zvi+hvi) |
---|
731 | # |
---|
732 | #It follows that the updated wvi is |
---|
733 | # wvi := zvi + (1-alpha)*hvi- + alpha*hvi |
---|
734 | # |
---|
735 | # Momentum is balanced between constant and limited |
---|
736 | |
---|
737 | |
---|
738 | #for i in range(3): |
---|
739 | # wv[k,i] = zv[k,i] + hvbar[k,i] |
---|
740 | |
---|
741 | #return |
---|
742 | |
---|
743 | if alpha < 1: |
---|
744 | |
---|
745 | #for i in range(3): |
---|
746 | for i in range(2): |
---|
747 | wv[k,i] = zv[k,i] + (1.0-alpha)*hvbar[k,i] + alpha*hv[k,i] |
---|
748 | |
---|
749 | #Momentums at centroids |
---|
750 | xmomc = domain.quantities['xmomentum'].centroid_values |
---|
751 | |
---|
752 | |
---|
753 | #Momentums at vertices |
---|
754 | xmomv = domain.quantities['xmomentum'].vertex_values |
---|
755 | |
---|
756 | |
---|
757 | # Update momentum as a linear combination of |
---|
758 | # xmomc and ymomc (shallow) and momentum |
---|
759 | # from extrapolator xmomv and ymomv (deep). |
---|
760 | xmomv[k,:] = (1.0-alpha)*xmomc[k] + alpha*xmomv[k,:] |
---|
761 | |
---|
762 | |
---|
763 | |
---|
764 | |
---|
765 | |
---|
766 | ######################### |
---|
767 | #Standard forcing terms: |
---|
768 | # |
---|
769 | def gravity(domain): |
---|
770 | """Apply gravitational pull in the presence of bed slope |
---|
771 | """ |
---|
772 | |
---|
773 | from util import gradient |
---|
774 | from Numeric import Float |
---|
775 | from numpy import zeros, array, sum |
---|
776 | |
---|
777 | xmom = domain.quantities['xmomentum'].explicit_update |
---|
778 | stage = domain.quantities['stage'].explicit_update |
---|
779 | |
---|
780 | Stage = domain.quantities['stage'] |
---|
781 | Elevation = domain.quantities['elevation'] |
---|
782 | h = Stage.vertex_values - Elevation.vertex_values |
---|
783 | b = Elevation.vertex_values |
---|
784 | w = Stage.vertex_values |
---|
785 | |
---|
786 | x = domain.get_vertex_coordinates() |
---|
787 | g = domain.g |
---|
788 | |
---|
789 | for k in range(domain.number_of_elements): |
---|
790 | avg_h = sum( h[k,:] )/2 |
---|
791 | |
---|
792 | #Compute bed slope |
---|
793 | x0, x1 = x[k,:] |
---|
794 | b0, b1 = b[k,:] |
---|
795 | |
---|
796 | w0, w1 = w[k,:] |
---|
797 | wx = gradient(x0, x1, w0, w1) |
---|
798 | bx = gradient(x0, x1, b0, b1) |
---|
799 | |
---|
800 | #Update momentum (explicit update is reset to source values) |
---|
801 | xmom[k] += -g*bx*avg_h |
---|
802 | |
---|
803 | |
---|
804 | |
---|
805 | def manning_friction(domain): |
---|
806 | """Apply (Manning) friction to water momentum |
---|
807 | """ |
---|
808 | |
---|
809 | from math import sqrt |
---|
810 | |
---|
811 | w = domain.quantities['stage'].centroid_values |
---|
812 | z = domain.quantities['elevation'].centroid_values |
---|
813 | h = w-z |
---|
814 | |
---|
815 | uh = domain.quantities['xmomentum'].centroid_values |
---|
816 | eta = domain.quantities['friction'].centroid_values |
---|
817 | |
---|
818 | xmom_update = domain.quantities['xmomentum'].semi_implicit_update |
---|
819 | |
---|
820 | N = domain.number_of_elements |
---|
821 | eps = domain.minimum_allowed_height |
---|
822 | g = domain.g |
---|
823 | |
---|
824 | for k in range(N): |
---|
825 | if eta[k] >= eps: |
---|
826 | if h[k] >= eps: |
---|
827 | S = -g * eta[k]**2 * uh[k] |
---|
828 | S /= h[k]**(7.0/3) |
---|
829 | |
---|
830 | #Update momentum |
---|
831 | xmom_update[k] += S*uh[k] |
---|
832 | |
---|
833 | def linear_friction(domain): |
---|
834 | """Apply linear friction to water momentum |
---|
835 | |
---|
836 | Assumes quantity: 'linear_friction' to be present |
---|
837 | """ |
---|
838 | |
---|
839 | from math import sqrt |
---|
840 | |
---|
841 | w = domain.quantities['stage'].centroid_values |
---|
842 | z = domain.quantities['elevation'].centroid_values |
---|
843 | h = w-z |
---|
844 | |
---|
845 | uh = domain.quantities['xmomentum'].centroid_values |
---|
846 | tau = domain.quantities['linear_friction'].centroid_values |
---|
847 | |
---|
848 | xmom_update = domain.quantities['xmomentum'].semi_implicit_update |
---|
849 | |
---|
850 | N = domain.number_of_elements |
---|
851 | eps = domain.minimum_allowed_height |
---|
852 | g = domain.g #Not necessary? Why was this added? |
---|
853 | |
---|
854 | for k in range(N): |
---|
855 | if tau[k] >= eps: |
---|
856 | if h[k] >= eps: |
---|
857 | S = -tau[k]/h[k] |
---|
858 | |
---|
859 | #Update momentum |
---|
860 | xmom_update[k] += S*uh[k] |
---|
861 | # ymom_update[k] += S*vh[k] |
---|
862 | |
---|
863 | |
---|
864 | |
---|
865 | def check_forcefield(f): |
---|
866 | """Check that f is either |
---|
867 | 1: a callable object f(t,x,y), where x and y are vectors |
---|
868 | and that it returns an array or a list of same length |
---|
869 | as x and y |
---|
870 | 2: a scalar |
---|
871 | """ |
---|
872 | |
---|
873 | from Numeric import Float |
---|
874 | from numpy import ones, array |
---|
875 | |
---|
876 | |
---|
877 | if callable(f): |
---|
878 | N = 2 |
---|
879 | x = ones(2, Float) |
---|
880 | |
---|
881 | try: |
---|
882 | q = f(1.0, x=x) |
---|
883 | except Exception, e: |
---|
884 | msg = 'Function %s could not be executed:\n%s' %(f, e) |
---|
885 | #FIXME: Reconsider this semantics |
---|
886 | raise msg |
---|
887 | |
---|
888 | try: |
---|
889 | q = array(q).astype(Float) |
---|
890 | except: |
---|
891 | msg = 'Return value from vector function %s could ' %f |
---|
892 | msg += 'not be converted into a Numeric array of floats.\n' |
---|
893 | msg += 'Specified function should return either list or array.' |
---|
894 | raise msg |
---|
895 | |
---|
896 | #Is this really what we want? |
---|
897 | msg = 'Return vector from function %s ' %f |
---|
898 | msg += 'must have same lenght as input vectors' |
---|
899 | assert len(q) == N, msg |
---|
900 | |
---|
901 | else: |
---|
902 | try: |
---|
903 | f = float(f) |
---|
904 | except: |
---|
905 | msg = 'Force field %s must be either a scalar' %f |
---|
906 | msg += ' or a vector function' |
---|
907 | raise msg |
---|
908 | return f |
---|
909 | |
---|
910 | class Wind_stress: |
---|
911 | """Apply wind stress to water momentum in terms of |
---|
912 | wind speed [m/s] and wind direction [degrees] |
---|
913 | """ |
---|
914 | |
---|
915 | def __init__(self, *args, **kwargs): |
---|
916 | """Initialise windfield from wind speed s [m/s] |
---|
917 | and wind direction phi [degrees] |
---|
918 | |
---|
919 | Inputs v and phi can be either scalars or Python functions, e.g. |
---|
920 | |
---|
921 | W = Wind_stress(10, 178) |
---|
922 | |
---|
923 | #FIXME - 'normal' degrees are assumed for now, i.e. the |
---|
924 | vector (1,0) has zero degrees. |
---|
925 | We may need to convert from 'compass' degrees later on and also |
---|
926 | map from True north to grid north. |
---|
927 | |
---|
928 | Arguments can also be Python functions of t,x,y as in |
---|
929 | |
---|
930 | def speed(t,x,y): |
---|
931 | ... |
---|
932 | return s |
---|
933 | |
---|
934 | def angle(t,x,y): |
---|
935 | ... |
---|
936 | return phi |
---|
937 | |
---|
938 | where x and y are vectors. |
---|
939 | |
---|
940 | and then pass the functions in |
---|
941 | |
---|
942 | W = Wind_stress(speed, angle) |
---|
943 | |
---|
944 | The instantiated object W can be appended to the list of |
---|
945 | forcing_terms as in |
---|
946 | |
---|
947 | Alternatively, one vector valued function for (speed, angle) |
---|
948 | can be applied, providing both quantities simultaneously. |
---|
949 | As in |
---|
950 | W = Wind_stress(F), where returns (speed, angle) for each t. |
---|
951 | |
---|
952 | domain.forcing_terms.append(W) |
---|
953 | """ |
---|
954 | |
---|
955 | from config import rho_a, rho_w, eta_w |
---|
956 | from Numeric import Float |
---|
957 | from numpy import array |
---|
958 | |
---|
959 | if len(args) == 2: |
---|
960 | s = args[0] |
---|
961 | phi = args[1] |
---|
962 | elif len(args) == 1: |
---|
963 | #Assume vector function returning (s, phi)(t,x,y) |
---|
964 | vector_function = args[0] |
---|
965 | s = lambda t,x: vector_function(t,x=x)[0] |
---|
966 | phi = lambda t,x: vector_function(t,x=x)[1] |
---|
967 | else: |
---|
968 | #Assume info is in 2 keyword arguments |
---|
969 | |
---|
970 | if len(kwargs) == 2: |
---|
971 | s = kwargs['s'] |
---|
972 | phi = kwargs['phi'] |
---|
973 | else: |
---|
974 | raise 'Assumes two keyword arguments: s=..., phi=....' |
---|
975 | |
---|
976 | print 'phi', phi |
---|
977 | self.speed = check_forcefield(s) |
---|
978 | self.phi = check_forcefield(phi) |
---|
979 | |
---|
980 | self.const = eta_w*rho_a/rho_w |
---|
981 | |
---|
982 | |
---|
983 | def __call__(self, domain): |
---|
984 | """Evaluate windfield based on values found in domain |
---|
985 | """ |
---|
986 | |
---|
987 | from math import pi, cos, sin, sqrt |
---|
988 | from Numeric import Float |
---|
989 | from numpy import ones, ArrayType |
---|
990 | |
---|
991 | xmom_update = domain.quantities['xmomentum'].explicit_update |
---|
992 | |
---|
993 | N = domain.number_of_elements |
---|
994 | t = domain.time |
---|
995 | |
---|
996 | if callable(self.speed): |
---|
997 | xc = domain.get_centroid_coordinates() |
---|
998 | s_vec = self.speed(t, xc) |
---|
999 | else: |
---|
1000 | #Assume s is a scalar |
---|
1001 | |
---|
1002 | try: |
---|
1003 | s_vec = self.speed * ones(N, Float) |
---|
1004 | except: |
---|
1005 | msg = 'Speed must be either callable or a scalar: %s' %self.s |
---|
1006 | raise msg |
---|
1007 | |
---|
1008 | |
---|
1009 | if callable(self.phi): |
---|
1010 | xc = domain.get_centroid_coordinates() |
---|
1011 | phi_vec = self.phi(t, xc) |
---|
1012 | else: |
---|
1013 | #Assume phi is a scalar |
---|
1014 | |
---|
1015 | try: |
---|
1016 | phi_vec = self.phi * ones(N, Float) |
---|
1017 | except: |
---|
1018 | msg = 'Angle must be either callable or a scalar: %s' %self.phi |
---|
1019 | raise msg |
---|
1020 | |
---|
1021 | #assign_windfield_values(xmom_update, ymom_update, |
---|
1022 | # s_vec, phi_vec, self.const) |
---|
1023 | assign_windfield_values(xmom_update, s_vec, phi_vec, self.const) |
---|
1024 | |
---|
1025 | |
---|
1026 | #def assign_windfield_values(xmom_update, ymom_update, |
---|
1027 | # s_vec, phi_vec, const): |
---|
1028 | def assign_windfield_values(xmom_update, s_vec, phi_vec, const): |
---|
1029 | """Python version of assigning wind field to update vectors. |
---|
1030 | A c version also exists (for speed) |
---|
1031 | """ |
---|
1032 | from math import pi, cos, sin, sqrt |
---|
1033 | |
---|
1034 | N = len(s_vec) |
---|
1035 | for k in range(N): |
---|
1036 | s = s_vec[k] |
---|
1037 | phi = phi_vec[k] |
---|
1038 | |
---|
1039 | #Convert to radians |
---|
1040 | phi = phi*pi/180 |
---|
1041 | |
---|
1042 | #Compute velocity vector (u, v) |
---|
1043 | u = s*cos(phi) |
---|
1044 | v = s*sin(phi) |
---|
1045 | |
---|
1046 | #Compute wind stress |
---|
1047 | S = const * u |
---|
1048 | xmom_update[k] += S*u |
---|