Thevenin D. (Ed), Janiga G. (Ed) — Optimisation in Computational Fluid Dynamics :: Электронная библиотека попечительского совета мехмата МГУ

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Thevenin D. (Ed), Janiga G. (Ed) — Optimisation in Computational Fluid Dynamics

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Название: Optimisation in Computational Fluid Dynamics

Авторы: Thevenin D. (Ed), Janiga G. (Ed)

Аннотация:

The numerical optimization of practical applications is an issue of growing importance in research and industry. It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs.

The purpose of this book is to introduce the state of the art concerning this issue, referred to in the book as CFD-based Optimization (CFD-O). Many complementary applications are presented, so that interested researchers and engineers will get a clear view of the present possibilities for all problems where the numerical optimization process relies on evaluations obtained through Computational Fluid Dynamics.

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Рубрика: Физика/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: 1st edition

Год издания: 2008

Количество страниц: 294

Добавлена в каталог: 20.03.2008

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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- $\omega$ model      19 46 48 50 126
k- $\varepsilon$ 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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