1 // Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed 7 8 /// @file 9 /// Implementation of the Synthetic Turbulence Generation (STG) algorithm 10 /// presented in Shur et al. 2014 11 12 #include "stg_shur14.h" 13 14 #include <math.h> 15 #include <petsc.h> 16 #include <stdlib.h> 17 18 #include "../navierstokes.h" 19 #include "../qfunctions/stg_shur14.h" 20 21 STGShur14Context global_stg_ctx; 22 23 /* 24 * @brief Perform Cholesky decomposition on array of symmetric 3x3 matrices 25 * 26 * This assumes the input matrices are in order [11,22,33,12,13,23]. 27 * This format is also used for the output. 28 * 29 * @param[in] comm MPI_Comm 30 * @param[in] nprofs Number of matrices in Rij 31 * @param[in] Rij Array of the symmetric matrices [6,nprofs] 32 * @param[out] Cij Array of the Cholesky Decomposition matrices, [6,nprofs] 33 */ 34 PetscErrorCode CalcCholeskyDecomp(MPI_Comm comm, PetscInt nprofs, const CeedScalar Rij[6][nprofs], CeedScalar Cij[6][nprofs]) { 35 PetscFunctionBeginUser; 36 for (PetscInt i = 0; i < nprofs; i++) { 37 Cij[0][i] = sqrt(Rij[0][i]); 38 Cij[3][i] = Rij[3][i] / Cij[0][i]; 39 Cij[1][i] = sqrt(Rij[1][i] - pow(Cij[3][i], 2)); 40 Cij[4][i] = Rij[4][i] / Cij[0][i]; 41 Cij[5][i] = (Rij[5][i] - Cij[3][i] * Cij[4][i]) / Cij[1][i]; 42 Cij[2][i] = sqrt(Rij[2][i] - pow(Cij[4][i], 2) - pow(Cij[5][i], 2)); 43 44 if (isnan(Cij[0][i]) || isnan(Cij[1][i]) || isnan(Cij[2][i])) { 45 SETERRQ(comm, -1, "Cholesky decomposition failed at profile point %" PetscInt_FMT ". Either STGInflow has non-SPD matrix or contains nan.", 46 i + 1); 47 } 48 } 49 PetscFunctionReturn(0); 50 } 51 52 /* 53 * @brief Open a PHASTA *.dat file, grabbing dimensions and file pointer 54 * 55 * This function opens the file specified by `path` using `PetscFOpen` and passes the file pointer in `fp`. 56 * It is not closed in this function, thus `fp` must be closed sometime after this function has been called (using `PetscFClose` for example). 57 * 58 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 59 * 60 * @param[in] comm MPI_Comm for the program 61 * @param[in] path Path to the file 62 * @param[in] char_array_len Length of the character array that should contain each line 63 * @param[out] dims Dimensions of the file, taken from the first line of the file 64 * @param[out] fp File pointer to the opened file 65 */ 66 static PetscErrorCode OpenPHASTADatFile(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], const PetscInt char_array_len, PetscInt dims[2], 67 FILE **fp) { 68 PetscInt ndims; 69 char line[char_array_len]; 70 char **array; 71 72 PetscFunctionBeginUser; 73 PetscCall(PetscFOpen(comm, path, "r", fp)); 74 PetscCall(PetscSynchronizedFGets(comm, *fp, char_array_len, line)); 75 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 76 if (ndims != 2) { 77 SETERRQ(comm, -1, "Found %" PetscInt_FMT " dimensions instead of 2 on the first line of %s", ndims, path); 78 } 79 80 for (PetscInt i = 0; i < ndims; i++) dims[i] = atoi(array[i]); 81 PetscCall(PetscStrToArrayDestroy(ndims, array)); 82 83 PetscFunctionReturn(0); 84 } 85 86 /* 87 * @brief Get the number of rows for the PHASTA file at path. 88 * 89 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 90 * 91 * @param[in] comm MPI_Comm for the program 92 * @param[in] path Path to the file 93 * @param[out] nrows Number of rows 94 */ 95 static PetscErrorCode GetNRows(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], PetscInt *nrows) { 96 const PetscInt char_array_len = 512; 97 PetscInt dims[2]; 98 FILE *fp; 99 100 PetscFunctionBeginUser; 101 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 102 *nrows = dims[0]; 103 PetscCall(PetscFClose(comm, fp)); 104 105 PetscFunctionReturn(0); 106 } 107 108 /* 109 * @brief Read the STGInflow file and load the contents into stg_ctx 110 * 111 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 112 * Assumes there are 14 columns in the file. 113 * 114 * Function calculates the Cholesky decomposition from the Reynolds stress profile found in the file. 115 * 116 * @param[in] comm MPI_Comm for the program 117 * @param[in] path Path to the STGInflow.dat file 118 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 119 */ 120 static PetscErrorCode ReadSTGInflow(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], STGShur14Context stg_ctx) { 121 PetscInt ndims, dims[2]; 122 FILE *fp; 123 const PetscInt char_array_len = 512; 124 char line[char_array_len]; 125 char **array; 126 127 PetscFunctionBeginUser; 128 129 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 130 131 CeedScalar rij[6][stg_ctx->nprofs]; 132 CeedScalar *wall_dist = &stg_ctx->data[stg_ctx->offsets.wall_dist]; 133 CeedScalar *eps = &stg_ctx->data[stg_ctx->offsets.eps]; 134 CeedScalar *lt = &stg_ctx->data[stg_ctx->offsets.lt]; 135 CeedScalar(*ubar)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.ubar]; 136 137 for (PetscInt i = 0; i < stg_ctx->nprofs; i++) { 138 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 139 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 140 if (ndims < dims[1]) { 141 SETERRQ(comm, -1, "Line %" PetscInt_FMT " of %s does not contain enough columns (%" PetscInt_FMT " instead of %" PetscInt_FMT ")", i, path, 142 ndims, dims[1]); 143 } 144 145 wall_dist[i] = (CeedScalar)atof(array[0]); 146 ubar[0][i] = (CeedScalar)atof(array[1]); 147 ubar[1][i] = (CeedScalar)atof(array[2]); 148 ubar[2][i] = (CeedScalar)atof(array[3]); 149 rij[0][i] = (CeedScalar)atof(array[4]); 150 rij[1][i] = (CeedScalar)atof(array[5]); 151 rij[2][i] = (CeedScalar)atof(array[6]); 152 rij[3][i] = (CeedScalar)atof(array[7]); 153 rij[4][i] = (CeedScalar)atof(array[8]); 154 rij[5][i] = (CeedScalar)atof(array[9]); 155 lt[i] = (CeedScalar)atof(array[12]); 156 eps[i] = (CeedScalar)atof(array[13]); 157 158 if (wall_dist[i] < 0) SETERRQ(comm, -1, "Distance to wall in %s cannot be negative", path); 159 if (lt[i] < 0) SETERRQ(comm, -1, "Turbulent length scale in %s cannot be negative", path); 160 if (eps[i] < 0) SETERRQ(comm, -1, "Turbulent dissipation in %s cannot be negative", path); 161 } 162 CeedScalar(*cij)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.cij]; 163 PetscCall(CalcCholeskyDecomp(comm, stg_ctx->nprofs, rij, cij)); 164 PetscCall(PetscFClose(comm, fp)); 165 166 PetscFunctionReturn(0); 167 } 168 169 /* 170 * @brief Read the STGRand file and load the contents into stg_ctx 171 * 172 * Assumes that the first line of the file has the number of rows and columns as the only two entries, separated by a single space. 173 * Assumes there are 7 columns in the file. 174 * 175 * @param[in] comm MPI_Comm for the program 176 * @param[in] path Path to the STGRand.dat file 177 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 178 */ 179 static PetscErrorCode ReadSTGRand(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], STGShur14Context stg_ctx) { 180 PetscInt ndims, dims[2]; 181 FILE *fp; 182 const PetscInt char_array_len = 512; 183 char line[char_array_len]; 184 char **array; 185 186 PetscFunctionBeginUser; 187 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 188 189 CeedScalar *phi = &stg_ctx->data[stg_ctx->offsets.phi]; 190 CeedScalar(*d)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.d]; 191 CeedScalar(*sigma)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.sigma]; 192 193 for (PetscInt i = 0; i < stg_ctx->nmodes; i++) { 194 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 195 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 196 if (ndims < dims[1]) { 197 SETERRQ(comm, -1, "Line %" PetscInt_FMT " of %s does not contain enough columns (%" PetscInt_FMT " instead of %" PetscInt_FMT ")", i, path, 198 ndims, dims[1]); 199 } 200 201 d[0][i] = (CeedScalar)atof(array[0]); 202 d[1][i] = (CeedScalar)atof(array[1]); 203 d[2][i] = (CeedScalar)atof(array[2]); 204 phi[i] = (CeedScalar)atof(array[3]); 205 sigma[0][i] = (CeedScalar)atof(array[4]); 206 sigma[1][i] = (CeedScalar)atof(array[5]); 207 sigma[2][i] = (CeedScalar)atof(array[6]); 208 } 209 PetscCall(PetscFClose(comm, fp)); 210 211 PetscFunctionReturn(0); 212 } 213 214 /* 215 * @brief Read STG data from input paths and put in STGShur14Context 216 * 217 * Reads data from input paths and puts them into a STGShur14Context object. 218 * Data stored initially in `*pstg_ctx` will be copied over to the new STGShur14Context instance. 219 * 220 * @param[in] comm MPI_Comm for the program 221 * @param[in] dm DM for the program 222 * @param[in] stg_inflow_path Path to STGInflow.dat file 223 * @param[in] stg_rand_path Path to STGRand.dat file 224 * @param[in,out] pstg_ctx Pointer to STGShur14Context where the data will be loaded into 225 */ 226 PetscErrorCode GetSTGContextData(const MPI_Comm comm, const DM dm, char stg_inflow_path[PETSC_MAX_PATH_LEN], char stg_rand_path[PETSC_MAX_PATH_LEN], 227 STGShur14Context *pstg_ctx, const CeedScalar ynodes[]) { 228 PetscInt nmodes, nprofs; 229 STGShur14Context stg_ctx; 230 PetscFunctionBeginUser; 231 232 // Get options 233 PetscCall(GetNRows(comm, stg_rand_path, &nmodes)); 234 PetscCall(GetNRows(comm, stg_inflow_path, &nprofs)); 235 if (nmodes > STG_NMODES_MAX) 236 SETERRQ(comm, 1, 237 "Number of wavemodes in %s (%" PetscInt_FMT ") exceeds STG_NMODES_MAX (%" PetscInt_FMT 238 "). " 239 "Change size of STG_NMODES_MAX and recompile", 240 stg_rand_path, nmodes, STG_NMODES_MAX); 241 242 { 243 STGShur14Context s; 244 PetscCall(PetscCalloc1(1, &s)); 245 *s = **pstg_ctx; 246 s->nmodes = nmodes; 247 s->nprofs = nprofs; 248 s->offsets.sigma = 0; 249 s->offsets.d = nmodes * 3; 250 s->offsets.phi = s->offsets.d + nmodes * 3; 251 s->offsets.kappa = s->offsets.phi + nmodes; 252 s->offsets.wall_dist = s->offsets.kappa + nmodes; 253 s->offsets.ubar = s->offsets.wall_dist + nprofs; 254 s->offsets.cij = s->offsets.ubar + nprofs * 3; 255 s->offsets.eps = s->offsets.cij + nprofs * 6; 256 s->offsets.lt = s->offsets.eps + nprofs; 257 s->offsets.ynodes = s->offsets.lt + nprofs; 258 PetscInt total_num_scalars = s->offsets.ynodes + s->nynodes; 259 s->total_bytes = sizeof(*stg_ctx) + total_num_scalars * sizeof(stg_ctx->data[0]); 260 PetscCall(PetscMalloc(s->total_bytes, &stg_ctx)); 261 *stg_ctx = *s; 262 PetscCall(PetscFree(s)); 263 } 264 265 PetscCall(ReadSTGInflow(comm, stg_inflow_path, stg_ctx)); 266 PetscCall(ReadSTGRand(comm, stg_rand_path, stg_ctx)); 267 268 if (stg_ctx->nynodes > 0) { 269 CeedScalar *ynodes_ctx = &stg_ctx->data[stg_ctx->offsets.ynodes]; 270 for (PetscInt i = 0; i < stg_ctx->nynodes; i++) ynodes_ctx[i] = ynodes[i]; 271 } 272 273 // -- Calculate kappa 274 { 275 CeedScalar *kappa = &stg_ctx->data[stg_ctx->offsets.kappa]; 276 CeedScalar *wall_dist = &stg_ctx->data[stg_ctx->offsets.wall_dist]; 277 CeedScalar *lt = &stg_ctx->data[stg_ctx->offsets.lt]; 278 CeedScalar le, le_max = 0; 279 280 CeedPragmaSIMD for (PetscInt i = 0; i < stg_ctx->nprofs; i++) { 281 le = PetscMin(2 * wall_dist[i], 3 * lt[i]); 282 if (le_max < le) le_max = le; 283 } 284 CeedScalar kmin = M_PI / le_max; 285 286 CeedPragmaSIMD for (PetscInt i = 0; i < stg_ctx->nmodes; i++) { kappa[i] = kmin * pow(stg_ctx->alpha, i); } 287 } // end calculate kappa 288 289 PetscCall(PetscFree(*pstg_ctx)); 290 *pstg_ctx = stg_ctx; 291 PetscFunctionReturn(0); 292 } 293 294 PetscErrorCode SetupSTG(const MPI_Comm comm, const DM dm, ProblemData *problem, User user, const bool prescribe_T, const CeedScalar theta0, 295 const CeedScalar P0, const CeedScalar ynodes[], const CeedInt nynodes) { 296 char stg_inflow_path[PETSC_MAX_PATH_LEN] = "./STGInflow.dat"; 297 char stg_rand_path[PETSC_MAX_PATH_LEN] = "./STGRand.dat"; 298 PetscBool mean_only = PETSC_FALSE, use_stgstrong = PETSC_FALSE, use_fluctuating_IC = PETSC_FALSE; 299 CeedScalar u0 = 0.0, alpha = 1.01; 300 CeedQFunctionContext stg_context; 301 NewtonianIdealGasContext newtonian_ig_ctx; 302 PetscFunctionBeginUser; 303 304 // Get options 305 PetscOptionsBegin(comm, NULL, "STG Boundary Condition Options", NULL); 306 PetscCall(PetscOptionsString("-stg_inflow_path", "Path to STGInflow.dat", NULL, stg_inflow_path, stg_inflow_path, sizeof(stg_inflow_path), NULL)); 307 PetscCall(PetscOptionsString("-stg_rand_path", "Path to STGInflow.dat", NULL, stg_rand_path, stg_rand_path, sizeof(stg_rand_path), NULL)); 308 PetscCall(PetscOptionsReal("-stg_alpha", "Growth rate of the wavemodes", NULL, alpha, &alpha, NULL)); 309 PetscCall(PetscOptionsReal("-stg_u0", "Advective velocity for the fluctuations", NULL, u0, &u0, NULL)); 310 PetscCall(PetscOptionsBool("-stg_mean_only", "Only apply mean profile", NULL, mean_only, &mean_only, NULL)); 311 PetscCall(PetscOptionsBool("-stg_strong", "Enforce STG inflow strongly", NULL, use_stgstrong, &use_stgstrong, NULL)); 312 PetscCall(PetscOptionsBool("-stg_fluctuating_IC", "\"Extrude\" the fluctuations through the domain as an initial condition", NULL, 313 use_fluctuating_IC, &use_fluctuating_IC, NULL)); 314 PetscOptionsEnd(); 315 316 PetscCall(PetscCalloc1(1, &global_stg_ctx)); 317 global_stg_ctx->alpha = alpha; 318 global_stg_ctx->u0 = u0; 319 global_stg_ctx->is_implicit = user->phys->implicit; 320 global_stg_ctx->prescribe_T = prescribe_T; 321 global_stg_ctx->mean_only = mean_only; 322 global_stg_ctx->use_fluctuating_IC = use_fluctuating_IC; 323 global_stg_ctx->theta0 = theta0; 324 global_stg_ctx->P0 = P0; 325 global_stg_ctx->nynodes = nynodes; 326 327 { 328 // Calculate dx assuming constant spacing 329 PetscReal domain_min[3], domain_max[3], domain_size[3]; 330 PetscCall(DMGetBoundingBox(dm, domain_min, domain_max)); 331 for (PetscInt i = 0; i < 3; i++) domain_size[i] = domain_max[i] - domain_min[i]; 332 333 PetscInt nmax = 3, faces[3]; 334 PetscCall(PetscOptionsGetIntArray(NULL, NULL, "-dm_plex_box_faces", faces, &nmax, NULL)); 335 global_stg_ctx->dx = domain_size[0] / faces[0]; 336 global_stg_ctx->dz = domain_size[2] / faces[2]; 337 } 338 339 CeedQFunctionContextGetData(problem->apply_vol_rhs.qfunction_context, CEED_MEM_HOST, &newtonian_ig_ctx); 340 global_stg_ctx->newtonian_ctx = *newtonian_ig_ctx; 341 CeedQFunctionContextRestoreData(problem->apply_vol_rhs.qfunction_context, &newtonian_ig_ctx); 342 343 PetscCall(GetSTGContextData(comm, dm, stg_inflow_path, stg_rand_path, &global_stg_ctx, ynodes)); 344 345 CeedQFunctionContextCreate(user->ceed, &stg_context); 346 CeedQFunctionContextSetData(stg_context, CEED_MEM_HOST, CEED_USE_POINTER, global_stg_ctx->total_bytes, global_stg_ctx); 347 CeedQFunctionContextSetDataDestroy(stg_context, CEED_MEM_HOST, FreeContextPetsc); 348 CeedQFunctionContextRegisterDouble(stg_context, "solution time", offsetof(struct STGShur14Context_, time), 1, "Physical time of the solution"); 349 350 CeedQFunctionContextDestroy(&problem->ics.qfunction_context); 351 problem->ics.qfunction = ICsSTG; 352 problem->ics.qfunction_loc = ICsSTG_loc; 353 problem->ics.qfunction_context = stg_context; 354 355 if (use_stgstrong) { 356 // Use default boundary integral QF (BoundaryIntegral) in newtonian.h 357 problem->use_dirichlet_ceed = PETSC_TRUE; 358 problem->bc_from_ics = PETSC_FALSE; 359 } else { 360 problem->apply_inflow.qfunction = STGShur14_Inflow; 361 problem->apply_inflow.qfunction_loc = STGShur14_Inflow_loc; 362 problem->apply_inflow_jacobian.qfunction = STGShur14_Inflow_Jacobian; 363 problem->apply_inflow_jacobian.qfunction_loc = STGShur14_Inflow_Jacobian_loc; 364 CeedQFunctionContextReferenceCopy(stg_context, &problem->apply_inflow.qfunction_context); 365 CeedQFunctionContextReferenceCopy(stg_context, &problem->apply_inflow_jacobian.qfunction_context); 366 problem->bc_from_ics = PETSC_TRUE; 367 } 368 369 PetscFunctionReturn(0); 370 } 371 372 static inline PetscScalar FindDy(const PetscScalar ynodes[], const PetscInt nynodes, const PetscScalar y) { 373 const PetscScalar half_mindy = 0.5 * (ynodes[1] - ynodes[0]); 374 // ^^assuming min(dy) is first element off the wall 375 PetscInt idx = -1; // Index 376 377 for (PetscInt i = 0; i < nynodes; i++) { 378 if (y < ynodes[i] + half_mindy) { 379 idx = i; 380 break; 381 } 382 } 383 if (idx == 0) return ynodes[1] - ynodes[0]; 384 else if (idx == nynodes - 1) return ynodes[nynodes - 2] - ynodes[nynodes - 1]; 385 else return 0.5 * (ynodes[idx + 1] - ynodes[idx - 1]); 386 } 387 388 // Function passed to DMAddBoundary 389 // NOTE: Not used in favor of QFunction-based method 390 PetscErrorCode StrongSTGbcFunc(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar bcval[], void *ctx) { 391 PetscFunctionBeginUser; 392 393 const STGShur14Context stg_ctx = (STGShur14Context)ctx; 394 PetscScalar qn[stg_ctx->nmodes], u[3], ubar[3], cij[6], eps, lt; 395 const bool mean_only = stg_ctx->mean_only; 396 const PetscScalar dx = stg_ctx->dx; 397 const PetscScalar dz = stg_ctx->dz; 398 const PetscScalar mu = stg_ctx->newtonian_ctx.mu; 399 const PetscScalar theta0 = stg_ctx->theta0; 400 const PetscScalar P0 = stg_ctx->P0; 401 const PetscScalar cv = stg_ctx->newtonian_ctx.cv; 402 const PetscScalar cp = stg_ctx->newtonian_ctx.cp; 403 const PetscScalar Rd = cp - cv; 404 405 const CeedScalar rho = P0 / (Rd * theta0); 406 InterpolateProfile(x[1], ubar, cij, &eps, <, stg_ctx); 407 if (!mean_only) { 408 const PetscInt nynodes = stg_ctx->nynodes; 409 const PetscScalar *ynodes = &stg_ctx->data[stg_ctx->offsets.ynodes]; 410 const PetscScalar h[3] = {dx, FindDy(ynodes, nynodes, x[1]), dz}; 411 CalcSpectrum(x[1], eps, lt, h, mu / rho, qn, stg_ctx); 412 STGShur14_Calc(x, time, ubar, cij, qn, u, stg_ctx); 413 } else { 414 for (CeedInt j = 0; j < 3; j++) u[j] = ubar[j]; 415 } 416 417 bcval[0] = rho; 418 bcval[1] = rho * u[0]; 419 bcval[2] = rho * u[1]; 420 bcval[3] = rho * u[2]; 421 PetscFunctionReturn(0); 422 } 423 424 PetscErrorCode SetupStrongSTG(DM dm, SimpleBC bc, ProblemData *problem, Physics phys) { 425 DMLabel label; 426 PetscFunctionBeginUser; 427 428 PetscInt comps[5], num_comps = 4; 429 switch (phys->state_var) { 430 case STATEVAR_CONSERVATIVE: 431 // {0,1,2,3} for rho, rho*u, rho*v, rho*w 432 for (int i = 0; i < 4; i++) comps[i] = i; 433 break; 434 435 case STATEVAR_PRIMITIVE: 436 // {1,2,3,4} for u, v, w, T 437 for (int i = 0; i < 4; i++) comps[i] = i + 1; 438 break; 439 } 440 441 PetscCall(DMGetLabel(dm, "Face Sets", &label)); 442 // Set wall BCs 443 if (bc->num_inflow > 0) { 444 PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "STG", label, bc->num_inflow, bc->inflows, 0, num_comps, comps, (void (*)(void))StrongSTGbcFunc, 445 NULL, global_stg_ctx, NULL)); 446 } 447 448 PetscFunctionReturn(0); 449 } 450 451 PetscErrorCode SetupStrongSTG_QF(Ceed ceed, ProblemData *problem, CeedInt num_comp_x, CeedInt num_comp_q, CeedInt stg_data_size, 452 CeedInt q_data_size_sur, CeedQFunction *pqf_strongbc) { 453 CeedQFunction qf_strongbc; 454 PetscFunctionBeginUser; 455 CeedQFunctionCreateInterior(ceed, 1, STGShur14_Inflow_StrongQF, STGShur14_Inflow_StrongQF_loc, &qf_strongbc); 456 CeedQFunctionAddInput(qf_strongbc, "surface qdata", q_data_size_sur, CEED_EVAL_NONE); 457 CeedQFunctionAddInput(qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE); 458 CeedQFunctionAddInput(qf_strongbc, "scale", 1, CEED_EVAL_NONE); 459 CeedQFunctionAddInput(qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE); 460 CeedQFunctionAddOutput(qf_strongbc, "q", num_comp_q, CEED_EVAL_NONE); 461 462 CeedQFunctionSetContext(qf_strongbc, problem->ics.qfunction_context); 463 *pqf_strongbc = qf_strongbc; 464 PetscFunctionReturn(0); 465 } 466 467 PetscErrorCode SetupStrongSTG_PreProcessing(Ceed ceed, ProblemData *problem, CeedInt num_comp_x, CeedInt stg_data_size, CeedInt q_data_size_sur, 468 CeedQFunction *pqf_strongbc) { 469 CeedQFunction qf_strongbc; 470 PetscFunctionBeginUser; 471 CeedQFunctionCreateInterior(ceed, 1, Preprocess_STGShur14, Preprocess_STGShur14_loc, &qf_strongbc); 472 CeedQFunctionAddInput(qf_strongbc, "surface qdata", q_data_size_sur, CEED_EVAL_NONE); 473 CeedQFunctionAddInput(qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE); 474 CeedQFunctionAddOutput(qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE); 475 476 CeedQFunctionSetContext(qf_strongbc, problem->ics.qfunction_context); 477 *pqf_strongbc = qf_strongbc; 478 PetscFunctionReturn(0); 479 } 480