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Авторизация |
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Поиск по указателям |
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Thevenin D. (Ed), Janiga G. (Ed) — Optimisation in Computational Fluid Dynamics |
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Предметный указатель |
Adaptive grid 12 40
Adaptive Hybrid Methods 201 202 205 206 213 214
Adaptive mesh generation 42
Adaptive time-step 41
Adjoint approach 14 79 80 82—85 91—95 98 99 105 111—113 141 144
Adjoint approach, continuous 81 82 84—86 88 90 91 98 104 113 120 125
Adjoint approach, discrete 79 81 82 84 111 122
Adjoint equation 81 84—86 88—90 92 94 96 100 125 133 138 139 141 226
Adjoint formulation 81 82 84 100 104 120 124 133 141
Adjoint method 4 5 14 66 80 81 83 112 220
Adjoint method, continuous 82 112
Adjoint method, discrete 84 113
Adjoint problem 66 69 72 104 111—113 219
Adjoint scheme 73
Adjoint state technique 271 273
Adjoint variable 64—66 72 82 84 88 91 92 96 120 122 133 139
Aerodynamic boundary condition 157
Aerodynamic characteristics 103
Aerodynamic coefficient 209
Aerodynamic cost function 113
Aerodynamic design 81 82
Aerodynamic drag 192
Aerodynamic flow 212
Aerodynamic force 139 141
Aerodynamic instability phenomenon 212
Aerodynamic moment 199
Aerodynamic optimization 80 82 85 181
Aerodynamic performance 161 181 196
Aerodynamic problem 80
Aerodynamic property 113
Aerodynamic shape 81 86 87 90 112 113
Aerodynamic shape optimization 67 79 80 83 104 105 111—113 119
Aerodynamics 149
Aerodynamics, automotive 191 195
Aerodynamics, car 192
Aerodynamics, external 81 82
Aerodynamics, internal 79 82
Airfoil 80—82 87 99—104 114 117 126 127 129 132 138 142 193 213
Airplane engine 191 212
Approximated Genetic Algorithms 203 206 209 210
Artificial neural network 14 153 161—165 169—171 174 175 179 181—183 187
B-spline 125 140 159 217 219 233
Bezier 247
Bezier control point 103 166 177
Bezier curve 159 166 173 176 235
Boundary condition 28 29 31 40 62 80 85 88—94 97 121 124 126 134 139 141 157 181 217 218 224 225 227 229 230 235
Boundary layer 169 272
Broyden — Fletcher — Goldfarb — Shanno 82 83 98 119 191 201 209
Burner 10 11 40 45
Burner, domestic 21 39
Burner, laminar 17 19 21 22 38 42 44 47
Compressor 99 102—105 149 158 172 176 180 181 212 213
Cross-corrugated 219 227 234
Cross-corrugated channel 224—226 228—230 261
Cross-corrugated heat exchanger 222 224 227 228
Cross-corrugated module 222 231 234 235 258 263
Crossover 18 27 35 152 155 200 206 209 243 245 246
Darwin 24 152 200
Degree of freedom 5 9 11 74 232—234 247 250
Design of Experiment 35 164 165 182 187 238 239 249 258
Direct numerical simulation 22 47 48 50 51 55 268 287
Drag 3 121 124 125 130 139 141 143 150 192—196 210
Drag aerodynamic 192
Drag coefficient 113 119 127 193—196 198 199 207 208 210 211 214
Drag force 192 194
Drag force pressure 194
Drag force viscous 194
Drag minimization 81 82 137 191 195
Drag minimum 209
Drag reduction 119 136 141—143 191 195 199—201 204 207 209 214
Drag value 209 210
Eddy viscosity 49 198
Elite 9 26 35 37 246
Elitism 200 245 246
entropy 19 79 82 91 93 103 104
Euler equation 3 14 86 87 97 113 117 120 121 125 126 138 140 268
Euler flow model 67
Evolution strategy 199—202 205 206 221
Fabricability check 251—253
Fiber orientation probability distribution 273 274
Finite element 147 148 157 218 277
Finite volume 31 42 93 219 235
Fitness 25 154 243 253
Fitness assignment 245
Fitness rank 200
Fitness sharing 245
Fitness space 159
Fitness value 24—26 37 242 243
Fitness-based selection 24
floating-point 24 27 122 123
Friction coefficient 103 104
Friction factor 217
Friction losses 180
Headbox Optimization Control Simulator 273 274 276 277
hessian 64 66 68 76 80 83 95 96 98
Hessian matrix 79 82 83 94—99 101 104 105
Hessian matrix, exact 82 94
Hessian matrix, symmetrical 94
Hessian method 82
Hessian-based optimization 98
Individual 24—27 33—38 54 55 152 154 155 181 200 242 243 245 248—250 258
Inviscid adjoint solver 125
Inviscid case 144
| Inviscid flow 79 81 82 86 87 104 142
Inviscid flux 87
Jacobian 63 74—76 120 125
Jacobian matrix 40 75 87 93 97
k- model 19 46 48 50 126
k- model 197 198 208 271 275
Laminar 17—19 21 22 38 40 42 44 47 169 218 220 222 223 228 262 271 273
Large-Eddy Simulation 22 197
Low solidity diffuser 149 172
Mach number 21 38—40 98 127 169—171 179 180
Mach number distribution 98 100 102 103 105 158 168—170 180—182 187
Mach number penalty 158
Machine direction 273 276
Multi-objective Evolutionary Algorithm 19 21 238 243 245
Multi-objective Genetic Algorithm 218 245 246 248—251 253 258
Multidisciplinary 149
Multidisciplinary design optimization 111 113 219
Multidisciplinary optimization 81 111 113 133 147 150 156 175 176 178 219
Multidisciplinary problem 133 188 278
Multigrid 12 40 70 72 81 126 134
Multigrid optimization 61 70 71
Multiphysical 267 278
Mutation 18 27 28 152 155 200—202 206 209 221 238 243 245
Navier — Stokes 67
Navier — Stokes equations 3 7 12 21 40 41 79 81 82 90 99 113 125 197 223 268 275
Navier — Stokes equations, depth-averaged 269 273—276
Navier — Stokes, solver 40 125 147 170
Non-dominated case 32
Non-dominated configuration 26—28 36
Non-dominated design 243 246
Non-dominated individual 26 35 37 245
Non-dominated parameter 27
Non-dominated solution 221 245
Non-dominated sorting 246
Non-Uniform Rational Basic Splines 219 231—234 247 253 255—258 262 263
Nondominated Sorting Genetic Algorithm 245 246
Nusselt number 220 225 229—231 234 247—249 253 256—258 261 262
Objective function 5—9 23 25 30 41 43 62 63 74 79 80 82 83 85 87 88 90 92—94 96 99—101 103 104 150—154 156 159 160 164 169 170 173 175 176 178 181 188 219—221 236 237 239 241 243—245 253 256 268 279 280 282
Offspring 24 26 27 35 152 154 155 201 242 245 246
One-shot approach 143 144
One-shot method 81 82 111 113 142
One-shot optimization 61 67 144
PARETO 9 10 19 25—27 34—36 51—53 55 159 160 218 221 222 241—246 249—254 256 258—261 280 284—286
Partial differential equation 40 73 80 81 84 85 135 268
Population 18 24—28 33 35 152 154 155 163 200 201 203 206 242—245 249 250
Population number 209
Population size 154 155
Prandtl number 218 222 262
probability 24—28 34 151 152 155 169 200 206 242 243 273
Recombination 200 201 221 238 243
Recuperator compact 219
Recuperator design 219
Recuperator gas turbine 217 222
Recuperator gas-gas 225
Recuperator microturbine 222 230
Recuperator module 217 227
Reynolds number 22 28 29 32 47 48 50 51 100 169 192 193 197 208 222 224 228 256
Reynolds stress model 198 208
Reynolds stress-tensor 49
Reynolds-Averaged Navier — Stokes 12 19 22 23 46 197
Roulette 154
Roulette wheel 26
Roulette wheel method 26 35
Roulette wheel process 200
Roulette wheel slot 26
Runge — Kutta 126 142
Selection 18 24 26 27 151 154 200 201 238 239 242—245 249
Separation 103 169 193
Separation area 193—195
Separation bubble 250
Separation bulb 193 195
Separation flow 169 192
Separation region 104 105
Separation zone 163 196 214
simplex 6 18 24 33 41 63 253
Simulated annealing 63 150—152 214
Sobol 35 239 250 258
Spalart — Allmaras model 81 82 99 126
SPLINE 67 115 117
Stiffness matrix 139 140
Survival 27 200 238
Tournament selection 24 154
Tournament size 154
Trade-off 23 26 159 221 230 247
Trial and error 47 149 236
Turbine 21 149 167 181
Turbine, blade 147 157 158 166 168—170 179 188
Turbine, gas 217 222
Turbine, low pressure 213
Turbine, micro 222 226 230
Turbine, micro-gas 176
Turbine, stage 148
Viscous behavior 224
Viscous dissipation 223
Viscous drag 194 210 211
Viscous flow 79 81 82 91 104
Viscous flux 90
Viscous inverse design 92
Viscous loss 79 82 91 93 99
Viscous Navier — Stokes equations 268
Viscous stress 90 91
Viscous stress tensor 199
Vortex 193 195 258 260 263
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