Mercurial > repos > public > sbplib
annotate +scheme/Elastic2dCurvilinearAnisotropicUpwind.m @ 1305:b5907140c069 feature/poroelastic
Clean up hollow D2 generation by using precomputed coefficients stored in mat files
author | Martin Almquist <malmquist@stanford.edu> |
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date | Mon, 13 Jul 2020 14:21:41 -0700 |
parents | 8ff3a95ad7cc |
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rev | line source |
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1 classdef Elastic2dCurvilinearAnisotropicUpwind < scheme.Scheme |
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2 |
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3 % Discretizes the elastic wave equation: |
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4 % rho u_{i,tt} = dj C_{ijkl} dk u_j |
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5 % in curvilinear coordinates. |
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6 % opSet should be cell array of opSets, one per dimension. This |
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7 % is useful if we have periodic BC in one direction. |
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8 % Assumes fully compatible operators. |
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9 |
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10 properties |
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11 m % Number of points in each direction, possibly a vector |
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12 h % Grid spacing |
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13 |
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14 grid |
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15 dim |
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16 |
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17 order % Order of accuracy for the approximation |
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18 |
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19 % Diagonal matrices for variable coefficients |
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20 J, Ji |
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21 RHO % Density |
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22 C % Elastic stiffness tensor |
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23 |
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24 D % Total operator |
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25 |
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26 Dx, Dy % Physical derivatives |
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27 sigma % Cell matrix of physical stress operators |
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28 n_w, n_e, n_s, n_n % Physical normals |
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29 |
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30 % Boundary operators in cell format, used for BC |
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31 T_w, T_e, T_s, T_n |
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32 |
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33 % Traction operators |
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34 tau_w, tau_e, tau_s, tau_n % Return vector field |
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35 tau1_w, tau1_e, tau1_s, tau1_n % Return scalar field |
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36 tau2_w, tau2_e, tau2_s, tau2_n % Return scalar field |
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37 |
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38 % Inner products |
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39 H |
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40 |
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41 % Boundary inner products (for scalar field) |
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42 H_w, H_e, H_s, H_n |
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43 |
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44 % Surface Jacobian vectors |
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45 s_w, s_e, s_s, s_n |
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46 |
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47 % Boundary restriction operators |
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48 e_w, e_e, e_s, e_n % Act on vector field, return vector field at boundary |
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49 e1_w, e1_e, e1_s, e1_n % Act on vector field, return scalar field at boundary |
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50 e2_w, e2_e, e2_s, e2_n % Act on vector field, return scalar field at boundary |
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51 e_scalar_w, e_scalar_e, e_scalar_s, e_scalar_n; % Act on scalar field, return scalar field |
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52 en_w, en_e, en_s, en_n % Act on vector field, return normal component |
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53 |
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54 % E{i}^T picks out component i |
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55 E |
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56 |
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57 % Elastic2dVariableAnisotropic object for reference domain |
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58 refObj |
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59 end |
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60 |
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61 methods |
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62 |
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63 % The coefficients can either be function handles or grid functions |
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64 % optFlag -- if true, extra computations are performed, which may be helpful for optimization. |
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65 function obj = Elastic2dCurvilinearAnisotropicUpwind(g, order, rho, C, opSet, optFlag) |
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66 default_arg('rho', @(x,y) 0*x+1); |
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67 default_arg('opSet',{@sbp.D1Upwind, @sbp.D1Upwind}); |
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68 default_arg('optFlag', false); |
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69 dim = 2; |
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70 |
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71 C_default = cell(dim,dim,dim,dim); |
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72 for i = 1:dim |
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73 for j = 1:dim |
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74 for k = 1:dim |
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75 for l = 1:dim |
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76 C_default{i,j,k,l} = @(x,y) 0*x; |
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77 end |
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78 end |
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79 end |
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80 end |
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81 default_arg('C', C_default); |
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82 |
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83 assert(isa(g, 'grid.Curvilinear')); |
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84 |
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85 if isa(rho, 'function_handle') |
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86 rho = grid.evalOn(g, rho); |
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87 end |
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88 |
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89 C_mat = cell(dim,dim,dim,dim); |
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90 for i = 1:dim |
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91 for j = 1:dim |
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92 for k = 1:dim |
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93 for l = 1:dim |
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94 if isa(C{i,j,k,l}, 'function_handle') |
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95 C{i,j,k,l} = grid.evalOn(g, C{i,j,k,l}); |
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96 end |
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97 C_mat{i,j,k,l} = spdiag(C{i,j,k,l}); |
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98 end |
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99 end |
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100 end |
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101 end |
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102 obj.C = C_mat; |
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103 |
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104 m = g.size(); |
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105 m_tot = g.N(); |
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106 |
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107 % 1D operators |
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108 opSetMetric = {@sbp.D2VariableCompatible, @sbp.D2VariableCompatible}; |
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109 orderMetric = ceil(order/2)*2; |
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110 m_u = m(1); |
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111 m_v = m(2); |
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112 ops_u = opSetMetric{1}(m_u, {0, 1}, orderMetric); |
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113 ops_v = opSetMetric{2}(m_v, {0, 1}, orderMetric); |
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114 |
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115 h_u = ops_u.h; |
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116 h_v = ops_v.h; |
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117 |
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118 I_u = speye(m_u); |
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119 I_v = speye(m_v); |
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120 |
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121 D1_u = ops_u.D1; |
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122 H_u = ops_u.H; |
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123 Hi_u = ops_u.HI; |
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124 e_l_u = ops_u.e_l; |
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125 e_r_u = ops_u.e_r; |
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126 d1_l_u = ops_u.d1_l; |
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127 d1_r_u = ops_u.d1_r; |
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128 |
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129 D1_v = ops_v.D1; |
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130 H_v = ops_v.H; |
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131 Hi_v = ops_v.HI; |
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132 e_l_v = ops_v.e_l; |
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133 e_r_v = ops_v.e_r; |
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134 d1_l_v = ops_v.d1_l; |
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135 d1_r_v = ops_v.d1_r; |
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136 |
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137 |
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138 % Logical operators |
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139 Du = kr(D1_u,I_v); |
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140 Dv = kr(I_u,D1_v); |
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141 |
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142 e_w = kr(e_l_u,I_v); |
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143 e_e = kr(e_r_u,I_v); |
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144 e_s = kr(I_u,e_l_v); |
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145 e_n = kr(I_u,e_r_v); |
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146 |
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147 % Metric coefficients |
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148 coords = g.points(); |
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149 x = coords(:,1); |
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150 y = coords(:,2); |
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151 |
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152 x_u = Du*x; |
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153 x_v = Dv*x; |
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154 y_u = Du*y; |
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155 y_v = Dv*y; |
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156 |
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157 J = x_u.*y_v - x_v.*y_u; |
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158 |
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159 K = cell(dim, dim); |
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160 K{1,1} = y_v./J; |
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161 K{1,2} = -y_u./J; |
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162 K{2,1} = -x_v./J; |
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163 K{2,2} = x_u./J; |
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164 |
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165 % Physical derivatives |
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166 obj.Dx = spdiag( y_v./J)*Du + spdiag(-y_u./J)*Dv; |
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167 obj.Dy = spdiag(-x_v./J)*Du + spdiag( x_u./J)*Dv; |
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168 |
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169 % Wrap around Aniosotropic Cartesian |
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170 rho_tilde = J.*rho; |
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171 |
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172 PHI = cell(dim,dim,dim,dim); |
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173 for i = 1:dim |
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174 for j = 1:dim |
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175 for k = 1:dim |
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176 for l = 1:dim |
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177 PHI{i,j,k,l} = 0*C{i,j,k,l}; |
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178 for m = 1:dim |
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179 for n = 1:dim |
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180 PHI{i,j,k,l} = PHI{i,j,k,l} + J.*K{m,i}.*C{m,j,n,l}.*K{n,k}; |
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181 end |
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182 end |
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183 end |
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184 end |
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185 end |
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186 end |
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187 |
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188 gRef = grid.equidistant([m_u, m_v], {0,1}, {0,1}); |
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189 refObj = scheme.Elastic2dVariableAnisotropicUpwind(gRef, order, rho_tilde, PHI, opSet); |
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190 |
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191 %---- Set object properties ------ |
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192 obj.RHO = spdiag(rho); |
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193 |
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194 % Volume quadrature |
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195 obj.J = spdiag(J); |
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196 obj.Ji = spdiag(1./J); |
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197 obj.H = obj.J*refObj.H; |
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198 |
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199 % Boundary quadratures |
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200 s_w = sqrt((e_w'*x_v).^2 + (e_w'*y_v).^2); |
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201 s_e = sqrt((e_e'*x_v).^2 + (e_e'*y_v).^2); |
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202 s_s = sqrt((e_s'*x_u).^2 + (e_s'*y_u).^2); |
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203 s_n = sqrt((e_n'*x_u).^2 + (e_n'*y_u).^2); |
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204 obj.s_w = s_w; |
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205 obj.s_e = s_e; |
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206 obj.s_s = s_s; |
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207 obj.s_n = s_n; |
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208 |
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209 obj.H_w = H_v*spdiag(s_w); |
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210 obj.H_e = H_v*spdiag(s_e); |
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211 obj.H_s = H_u*spdiag(s_s); |
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212 obj.H_n = H_u*spdiag(s_n); |
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213 |
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214 % Restriction operators |
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215 obj.e_w = refObj.e_w; |
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216 obj.e_e = refObj.e_e; |
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217 obj.e_s = refObj.e_s; |
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218 obj.e_n = refObj.e_n; |
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219 |
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220 % Adapt things from reference object |
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221 obj.D = refObj.D; |
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222 obj.E = refObj.E; |
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223 |
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224 obj.e1_w = refObj.e1_w; |
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225 obj.e1_e = refObj.e1_e; |
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226 obj.e1_s = refObj.e1_s; |
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227 obj.e1_n = refObj.e1_n; |
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228 |
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229 obj.e2_w = refObj.e2_w; |
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230 obj.e2_e = refObj.e2_e; |
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231 obj.e2_s = refObj.e2_s; |
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232 obj.e2_n = refObj.e2_n; |
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233 |
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234 obj.e_scalar_w = refObj.e_scalar_w; |
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235 obj.e_scalar_e = refObj.e_scalar_e; |
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236 obj.e_scalar_s = refObj.e_scalar_s; |
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237 obj.e_scalar_n = refObj.e_scalar_n; |
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238 |
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239 e1_w = obj.e1_w; |
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240 e1_e = obj.e1_e; |
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241 e1_s = obj.e1_s; |
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242 e1_n = obj.e1_n; |
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243 |
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244 e2_w = obj.e2_w; |
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245 e2_e = obj.e2_e; |
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246 e2_s = obj.e2_s; |
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247 e2_n = obj.e2_n; |
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248 |
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249 obj.tau1_w = (spdiag(1./s_w)*refObj.tau1_w')'; |
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250 obj.tau1_e = (spdiag(1./s_e)*refObj.tau1_e')'; |
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251 obj.tau1_s = (spdiag(1./s_s)*refObj.tau1_s')'; |
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252 obj.tau1_n = (spdiag(1./s_n)*refObj.tau1_n')'; |
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253 |
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254 obj.tau2_w = (spdiag(1./s_w)*refObj.tau2_w')'; |
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255 obj.tau2_e = (spdiag(1./s_e)*refObj.tau2_e')'; |
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256 obj.tau2_s = (spdiag(1./s_s)*refObj.tau2_s')'; |
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257 obj.tau2_n = (spdiag(1./s_n)*refObj.tau2_n')'; |
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258 |
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259 obj.tau_w = (refObj.e_w'*obj.e1_w*obj.tau1_w')' + (refObj.e_w'*obj.e2_w*obj.tau2_w')'; |
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260 obj.tau_e = (refObj.e_e'*obj.e1_e*obj.tau1_e')' + (refObj.e_e'*obj.e2_e*obj.tau2_e')'; |
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261 obj.tau_s = (refObj.e_s'*obj.e1_s*obj.tau1_s')' + (refObj.e_s'*obj.e2_s*obj.tau2_s')'; |
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262 obj.tau_n = (refObj.e_n'*obj.e1_n*obj.tau1_n')' + (refObj.e_n'*obj.e2_n*obj.tau2_n')'; |
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263 |
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264 % Physical normals |
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265 e_w = obj.e_scalar_w; |
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266 e_e = obj.e_scalar_e; |
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267 e_s = obj.e_scalar_s; |
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268 e_n = obj.e_scalar_n; |
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269 |
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270 e_w_vec = obj.e_w; |
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271 e_e_vec = obj.e_e; |
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272 e_s_vec = obj.e_s; |
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273 e_n_vec = obj.e_n; |
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274 |
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275 nu_w = [-1,0]; |
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276 nu_e = [1,0]; |
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277 nu_s = [0,-1]; |
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278 nu_n = [0,1]; |
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279 |
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280 obj.n_w = cell(2,1); |
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281 obj.n_e = cell(2,1); |
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282 obj.n_s = cell(2,1); |
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283 obj.n_n = cell(2,1); |
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284 |
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285 n_w_1 = (1./s_w).*e_w'*(J.*(K{1,1}*nu_w(1) + K{1,2}*nu_w(2))); |
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286 n_w_2 = (1./s_w).*e_w'*(J.*(K{2,1}*nu_w(1) + K{2,2}*nu_w(2))); |
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287 obj.n_w{1} = spdiag(n_w_1); |
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288 obj.n_w{2} = spdiag(n_w_2); |
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289 |
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290 n_e_1 = (1./s_e).*e_e'*(J.*(K{1,1}*nu_e(1) + K{1,2}*nu_e(2))); |
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291 n_e_2 = (1./s_e).*e_e'*(J.*(K{2,1}*nu_e(1) + K{2,2}*nu_e(2))); |
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292 obj.n_e{1} = spdiag(n_e_1); |
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293 obj.n_e{2} = spdiag(n_e_2); |
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294 |
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295 n_s_1 = (1./s_s).*e_s'*(J.*(K{1,1}*nu_s(1) + K{1,2}*nu_s(2))); |
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296 n_s_2 = (1./s_s).*e_s'*(J.*(K{2,1}*nu_s(1) + K{2,2}*nu_s(2))); |
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297 obj.n_s{1} = spdiag(n_s_1); |
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298 obj.n_s{2} = spdiag(n_s_2); |
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299 |
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300 n_n_1 = (1./s_n).*e_n'*(J.*(K{1,1}*nu_n(1) + K{1,2}*nu_n(2))); |
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301 n_n_2 = (1./s_n).*e_n'*(J.*(K{2,1}*nu_n(1) + K{2,2}*nu_n(2))); |
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302 obj.n_n{1} = spdiag(n_n_1); |
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303 obj.n_n{2} = spdiag(n_n_2); |
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304 |
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305 % Operators that extract the normal component |
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306 obj.en_w = (obj.n_w{1}*obj.e1_w' + obj.n_w{2}*obj.e2_w')'; |
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307 obj.en_e = (obj.n_e{1}*obj.e1_e' + obj.n_e{2}*obj.e2_e')'; |
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308 obj.en_s = (obj.n_s{1}*obj.e1_s' + obj.n_s{2}*obj.e2_s')'; |
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309 obj.en_n = (obj.n_n{1}*obj.e1_n' + obj.n_n{2}*obj.e2_n')'; |
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310 |
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311 % Stress operators |
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312 sigma = cell(dim, dim); |
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313 D1 = {obj.Dx, obj.Dy}; |
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314 E = obj.E; |
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315 N = length(obj.RHO); |
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316 for i = 1:dim |
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317 for j = 1:dim |
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318 sigma{i,j} = sparse(N,2*N); |
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319 for k = 1:dim |
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320 for l = 1:dim |
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321 sigma{i,j} = sigma{i,j} + obj.C{i,j,k,l}*D1{k}*E{l}'; |
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322 end |
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323 end |
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324 end |
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325 end |
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326 obj.sigma = sigma; |
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327 |
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328 % Misc. |
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329 obj.refObj = refObj; |
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330 obj.m = refObj.m; |
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331 obj.h = refObj.h; |
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332 obj.order = order; |
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333 obj.grid = g; |
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334 obj.dim = dim; |
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335 |
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336 end |
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337 |
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338 |
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339 % Closure functions return the operators applied to the own domain to close the boundary |
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340 % Penalty functions return the operators to force the solution. In the case of an interface it returns the operator applied to the other doamin. |
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341 % boundary is a string specifying the boundary e.g. 'l','r' or 'e','w','n','s'. |
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342 % bc is a cell array of component and bc type, e.g. {1, 'd'} for Dirichlet condition |
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343 % on the first component. Can also be e.g. |
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344 % {'normal', 'd'} or {'tangential', 't'} for conditions on |
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345 % tangential/normal component. |
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346 % data is a function returning the data that should be applied at the boundary. |
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347 % neighbour_scheme is an instance of Scheme that should be interfaced to. |
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348 % neighbour_boundary is a string specifying which boundary to interface to. |
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349 |
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350 % For displacement bc: |
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351 % bc = {comp, 'd', dComps}, |
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352 % where |
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353 % dComps = vector of components with displacement BC. Default: 1:dim. |
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354 % In this way, we can specify one BC at a time even though the SATs depend on all BC. |
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355 function [closure, penalty] = boundary_condition(obj, boundary, bc, tuning) |
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356 default_arg('tuning', 1.0); |
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357 assert( iscell(bc), 'The BC type must be a 2x1 or 3x1 cell array' ); |
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358 |
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359 [closure, penalty] = obj.refObj.boundary_condition(boundary, bc, tuning); |
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360 |
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361 type = bc{2}; |
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362 |
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363 switch type |
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364 case {'F','f','Free','free','traction','Traction','t','T'} |
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365 s = obj.(['s_' boundary]); |
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366 s = spdiag(s); |
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367 penalty = penalty*s; |
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368 end |
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369 end |
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370 |
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371 % type Struct that specifies the interface coupling. |
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372 % Fields: |
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373 % -- tuning: penalty strength, defaults to 1.0 |
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374 % -- interpolation: type of interpolation, default 'none' |
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375 function [closure, penalty] = interface(obj,boundary,neighbour_scheme,neighbour_boundary,type) |
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376 |
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377 defaultType.tuning = 1.0; |
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378 defaultType.interpolation = 'none'; |
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379 default_struct('type', defaultType); |
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380 |
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381 [closure, penalty] = obj.refObj.interface(boundary,neighbour_scheme.refObj,neighbour_boundary,type); |
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382 end |
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383 |
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384 % Returns h11 for the boundary specified by the string boundary. |
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385 % op -- string |
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386 function h11 = getBorrowing(obj, boundary) |
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387 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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388 |
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389 switch boundary |
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390 case {'w','e'} |
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391 h11 = obj.refObj.h11{1}; |
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392 case {'s', 'n'} |
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393 h11 = obj.refObj.h11{2}; |
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394 end |
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395 end |
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396 |
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397 % Returns the outward unit normal vector for the boundary specified by the string boundary. |
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398 % n is a cell of diagonal matrices for each normal component, n{1} = n_1, n{2} = n_2. |
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399 function n = getNormal(obj, boundary) |
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400 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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401 |
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402 n = obj.(['n_' boundary]); |
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403 end |
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404 |
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405 % Returns the boundary operator op for the boundary specified by the string boundary. |
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406 % op -- string |
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407 function o = getBoundaryOperator(obj, op, boundary) |
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408 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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409 assertIsMember(op, {'e', 'e1', 'e2', 'tau', 'tau1', 'tau2', 'en'}) |
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410 |
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411 o = obj.([op, '_', boundary]); |
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412 |
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413 end |
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414 |
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415 % Returns the boundary operator op for the boundary specified by the string boundary. |
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416 % op -- string |
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417 function o = getBoundaryOperatorForScalarField(obj, op, boundary) |
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418 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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419 assertIsMember(op, {'e'}) |
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420 |
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421 switch op |
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422 |
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423 case 'e' |
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424 o = obj.(['e_scalar', '_', boundary]); |
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425 end |
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426 |
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427 end |
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428 |
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429 % Returns the boundary operator T_ij (cell format) for the boundary specified by the string boundary. |
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430 % Formula: tau_i = T_ij u_j |
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431 % op -- string |
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432 function T = getBoundaryTractionOperator(obj, boundary) |
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433 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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434 |
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435 T = obj.(['T', '_', boundary]); |
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436 end |
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437 |
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438 % Returns square boundary quadrature matrix, of dimension |
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439 % corresponding to the number of boundary unknowns |
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440 % |
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441 % boundary -- string |
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442 function H = getBoundaryQuadrature(obj, boundary) |
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443 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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444 |
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445 H = obj.getBoundaryQuadratureForScalarField(boundary); |
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446 I_dim = speye(obj.dim, obj.dim); |
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447 H = kron(H, I_dim); |
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448 end |
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449 |
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450 % Returns square boundary quadrature matrix, of dimension |
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451 % corresponding to the number of boundary grid points |
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452 % |
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453 % boundary -- string |
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454 function H_b = getBoundaryQuadratureForScalarField(obj, boundary) |
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455 assertIsMember(boundary, {'w', 'e', 's', 'n'}) |
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456 |
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457 H_b = obj.(['H_', boundary]); |
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458 end |
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459 |
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460 function N = size(obj) |
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461 N = obj.dim*prod(obj.m); |
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462 end |
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463 end |
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464 end |