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 <ceed.h> 15 #include <math.h> 16 #include <petscdm.h> 17 #include <stdlib.h> 18 19 #include "../navierstokes.h" 20 #include "../qfunctions/stg_shur14.h" 21 22 STGShur14Context global_stg_ctx; 23 24 /* 25 * @brief Perform Cholesky decomposition on array of symmetric 3x3 matrices 26 * 27 * This assumes the input matrices are in order [11,22,33,12,13,23]. 28 * This format is also used for the output. 29 * 30 * @param[in] comm MPI_Comm 31 * @param[in] nprofs Number of matrices in Rij 32 * @param[in] Rij Array of the symmetric matrices [6,nprofs] 33 * @param[out] Cij Array of the Cholesky Decomposition matrices, [6,nprofs] 34 */ 35 PetscErrorCode CalcCholeskyDecomp(MPI_Comm comm, PetscInt nprofs, const CeedScalar Rij[6][nprofs], CeedScalar Cij[6][nprofs]) { 36 PetscFunctionBeginUser; 37 for (PetscInt i = 0; i < nprofs; i++) { 38 Cij[0][i] = sqrt(Rij[0][i]); 39 Cij[3][i] = Rij[3][i] / Cij[0][i]; 40 Cij[1][i] = sqrt(Rij[1][i] - pow(Cij[3][i], 2)); 41 Cij[4][i] = Rij[4][i] / Cij[0][i]; 42 Cij[5][i] = (Rij[5][i] - Cij[3][i] * Cij[4][i]) / Cij[1][i]; 43 Cij[2][i] = sqrt(Rij[2][i] - pow(Cij[4][i], 2) - pow(Cij[5][i], 2)); 44 45 if (isnan(Cij[0][i]) || isnan(Cij[1][i]) || isnan(Cij[2][i])) { 46 SETERRQ(comm, -1, "Cholesky decomposition failed at profile point %" PetscInt_FMT ". Either STGInflow has non-SPD matrix or contains nan.", 47 i + 1); 48 } 49 } 50 PetscFunctionReturn(0); 51 } 52 53 /* 54 * @brief Open a PHASTA *.dat file, grabbing dimensions and file pointer 55 * 56 * This function opens the file specified by `path` using `PetscFOpen` and passes the file pointer in `fp`. 57 * It is not closed in this function, thus `fp` must be closed sometime after this function has been called (using `PetscFClose` for example). 58 * 59 * 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. 60 * 61 * @param[in] comm MPI_Comm for the program 62 * @param[in] path Path to the file 63 * @param[in] char_array_len Length of the character array that should contain each line 64 * @param[out] dims Dimensions of the file, taken from the first line of the file 65 * @param[out] fp File pointer to the opened file 66 */ 67 static PetscErrorCode OpenPHASTADatFile(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], const PetscInt char_array_len, PetscInt dims[2], 68 FILE **fp) { 69 PetscInt ndims; 70 char line[char_array_len]; 71 char **array; 72 73 PetscFunctionBeginUser; 74 PetscCall(PetscFOpen(comm, path, "r", fp)); 75 PetscCall(PetscSynchronizedFGets(comm, *fp, char_array_len, line)); 76 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 77 if (ndims != 2) { 78 SETERRQ(comm, -1, "Found %" PetscInt_FMT " dimensions instead of 2 on the first line of %s", ndims, path); 79 } 80 81 for (PetscInt i = 0; i < ndims; i++) dims[i] = atoi(array[i]); 82 PetscCall(PetscStrToArrayDestroy(ndims, array)); 83 84 PetscFunctionReturn(0); 85 } 86 87 /* 88 * @brief Get the number of rows for the PHASTA file at path. 89 * 90 * 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. 91 * 92 * @param[in] comm MPI_Comm for the program 93 * @param[in] path Path to the file 94 * @param[out] nrows Number of rows 95 */ 96 static PetscErrorCode GetNRows(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], PetscInt *nrows) { 97 const PetscInt char_array_len = 512; 98 PetscInt dims[2]; 99 FILE *fp; 100 101 PetscFunctionBeginUser; 102 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 103 *nrows = dims[0]; 104 PetscCall(PetscFClose(comm, fp)); 105 106 PetscFunctionReturn(0); 107 } 108 109 /* 110 * @brief Read the STGInflow file and load the contents into stg_ctx 111 * 112 * 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. 113 * Assumes there are 14 columns in the file. 114 * 115 * Function calculates the Cholesky decomposition from the Reynolds stress profile found in the file. 116 * 117 * @param[in] comm MPI_Comm for the program 118 * @param[in] path Path to the STGInflow.dat file 119 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 120 */ 121 static PetscErrorCode ReadSTGInflow(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], STGShur14Context stg_ctx) { 122 PetscInt ndims, dims[2]; 123 FILE *fp; 124 const PetscInt char_array_len = 512; 125 char line[char_array_len]; 126 char **array; 127 128 PetscFunctionBeginUser; 129 130 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 131 132 CeedScalar rij[6][stg_ctx->nprofs]; 133 CeedScalar *wall_dist = &stg_ctx->data[stg_ctx->offsets.wall_dist]; 134 CeedScalar *eps = &stg_ctx->data[stg_ctx->offsets.eps]; 135 CeedScalar *lt = &stg_ctx->data[stg_ctx->offsets.lt]; 136 CeedScalar(*ubar)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.ubar]; 137 138 for (PetscInt i = 0; i < stg_ctx->nprofs; i++) { 139 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 140 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 141 if (ndims < dims[1]) { 142 SETERRQ(comm, -1, "Line %" PetscInt_FMT " of %s does not contain enough columns (%" PetscInt_FMT " instead of %" PetscInt_FMT ")", i, path, 143 ndims, dims[1]); 144 } 145 146 wall_dist[i] = (CeedScalar)atof(array[0]); 147 ubar[0][i] = (CeedScalar)atof(array[1]); 148 ubar[1][i] = (CeedScalar)atof(array[2]); 149 ubar[2][i] = (CeedScalar)atof(array[3]); 150 rij[0][i] = (CeedScalar)atof(array[4]); 151 rij[1][i] = (CeedScalar)atof(array[5]); 152 rij[2][i] = (CeedScalar)atof(array[6]); 153 rij[3][i] = (CeedScalar)atof(array[7]); 154 rij[4][i] = (CeedScalar)atof(array[8]); 155 rij[5][i] = (CeedScalar)atof(array[9]); 156 lt[i] = (CeedScalar)atof(array[12]); 157 eps[i] = (CeedScalar)atof(array[13]); 158 159 if (wall_dist[i] < 0) SETERRQ(comm, -1, "Distance to wall in %s cannot be negative", path); 160 if (lt[i] < 0) SETERRQ(comm, -1, "Turbulent length scale in %s cannot be negative", path); 161 if (eps[i] < 0) SETERRQ(comm, -1, "Turbulent dissipation in %s cannot be negative", path); 162 } 163 CeedScalar(*cij)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.cij]; 164 PetscCall(CalcCholeskyDecomp(comm, stg_ctx->nprofs, rij, cij)); 165 PetscCall(PetscFClose(comm, fp)); 166 167 PetscFunctionReturn(0); 168 } 169 170 /* 171 * @brief Read the STGRand file and load the contents into stg_ctx 172 * 173 * 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. 174 * Assumes there are 7 columns in the file. 175 * 176 * @param[in] comm MPI_Comm for the program 177 * @param[in] path Path to the STGRand.dat file 178 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 179 */ 180 static PetscErrorCode ReadSTGRand(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], STGShur14Context stg_ctx) { 181 PetscInt ndims, dims[2]; 182 FILE *fp; 183 const PetscInt char_array_len = 512; 184 char line[char_array_len]; 185 char **array; 186 187 PetscFunctionBeginUser; 188 PetscCall(OpenPHASTADatFile(comm, path, char_array_len, dims, &fp)); 189 190 CeedScalar *phi = &stg_ctx->data[stg_ctx->offsets.phi]; 191 CeedScalar(*d)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.d]; 192 CeedScalar(*sigma)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.sigma]; 193 194 for (PetscInt i = 0; i < stg_ctx->nmodes; i++) { 195 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 196 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 197 if (ndims < dims[1]) { 198 SETERRQ(comm, -1, "Line %" PetscInt_FMT " of %s does not contain enough columns (%" PetscInt_FMT " instead of %" PetscInt_FMT ")", i, path, 199 ndims, dims[1]); 200 } 201 202 d[0][i] = (CeedScalar)atof(array[0]); 203 d[1][i] = (CeedScalar)atof(array[1]); 204 d[2][i] = (CeedScalar)atof(array[2]); 205 phi[i] = (CeedScalar)atof(array[3]); 206 sigma[0][i] = (CeedScalar)atof(array[4]); 207 sigma[1][i] = (CeedScalar)atof(array[5]); 208 sigma[2][i] = (CeedScalar)atof(array[6]); 209 } 210 PetscCall(PetscFClose(comm, fp)); 211 212 PetscFunctionReturn(0); 213 } 214 215 /* 216 * @brief Read STG data from input paths and put in STGShur14Context 217 * 218 * Reads data from input paths and puts them into a STGShur14Context object. 219 * Data stored initially in `*pstg_ctx` will be copied over to the new STGShur14Context instance. 220 * 221 * @param[in] comm MPI_Comm for the program 222 * @param[in] dm DM for the program 223 * @param[in] stg_inflow_path Path to STGInflow.dat file 224 * @param[in] stg_rand_path Path to STGRand.dat file 225 * @param[in,out] pstg_ctx Pointer to STGShur14Context where the data will be loaded into 226 */ 227 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], 228 STGShur14Context *pstg_ctx, const CeedScalar ynodes[]) { 229 PetscInt nmodes, nprofs; 230 STGShur14Context stg_ctx; 231 PetscFunctionBeginUser; 232 233 // Get options 234 PetscCall(GetNRows(comm, stg_rand_path, &nmodes)); 235 PetscCall(GetNRows(comm, stg_inflow_path, &nprofs)); 236 if (nmodes > STG_NMODES_MAX) { 237 SETERRQ(comm, 1, 238 "Number of wavemodes in %s (%" PetscInt_FMT ") exceeds STG_NMODES_MAX (%" PetscInt_FMT 239 "). " 240 "Change size of STG_NMODES_MAX and recompile", 241 stg_rand_path, nmodes, STG_NMODES_MAX); 242 } 243 244 { 245 STGShur14Context s; 246 PetscCall(PetscCalloc1(1, &s)); 247 *s = **pstg_ctx; 248 s->nmodes = nmodes; 249 s->nprofs = nprofs; 250 s->offsets.sigma = 0; 251 s->offsets.d = nmodes * 3; 252 s->offsets.phi = s->offsets.d + nmodes * 3; 253 s->offsets.kappa = s->offsets.phi + nmodes; 254 s->offsets.wall_dist = s->offsets.kappa + nmodes; 255 s->offsets.ubar = s->offsets.wall_dist + nprofs; 256 s->offsets.cij = s->offsets.ubar + nprofs * 3; 257 s->offsets.eps = s->offsets.cij + nprofs * 6; 258 s->offsets.lt = s->offsets.eps + nprofs; 259 s->offsets.ynodes = s->offsets.lt + nprofs; 260 PetscInt total_num_scalars = s->offsets.ynodes + s->nynodes; 261 s->total_bytes = sizeof(*stg_ctx) + total_num_scalars * sizeof(stg_ctx->data[0]); 262 PetscCall(PetscMalloc(s->total_bytes, &stg_ctx)); 263 *stg_ctx = *s; 264 PetscCall(PetscFree(s)); 265 } 266 267 PetscCall(ReadSTGInflow(comm, stg_inflow_path, stg_ctx)); 268 PetscCall(ReadSTGRand(comm, stg_rand_path, stg_ctx)); 269 270 if (stg_ctx->nynodes > 0) { 271 CeedScalar *ynodes_ctx = &stg_ctx->data[stg_ctx->offsets.ynodes]; 272 for (PetscInt i = 0; i < stg_ctx->nynodes; i++) ynodes_ctx[i] = ynodes[i]; 273 } 274 275 // -- Calculate kappa 276 { 277 CeedScalar *kappa = &stg_ctx->data[stg_ctx->offsets.kappa]; 278 CeedScalar *wall_dist = &stg_ctx->data[stg_ctx->offsets.wall_dist]; 279 CeedScalar *lt = &stg_ctx->data[stg_ctx->offsets.lt]; 280 CeedScalar le, le_max = 0; 281 282 CeedPragmaSIMD for (PetscInt i = 0; i < stg_ctx->nprofs; i++) { 283 le = PetscMin(2 * wall_dist[i], 3 * lt[i]); 284 if (le_max < le) le_max = le; 285 } 286 CeedScalar kmin = M_PI / le_max; 287 288 CeedPragmaSIMD for (PetscInt i = 0; i < stg_ctx->nmodes; i++) { kappa[i] = kmin * pow(stg_ctx->alpha, i); } 289 } // end calculate kappa 290 291 PetscCall(PetscFree(*pstg_ctx)); 292 *pstg_ctx = stg_ctx; 293 PetscFunctionReturn(0); 294 } 295 296 PetscErrorCode SetupSTG(const MPI_Comm comm, const DM dm, ProblemData *problem, User user, const bool prescribe_T, const CeedScalar theta0, 297 const CeedScalar P0, const CeedScalar ynodes[], const CeedInt nynodes) { 298 char stg_inflow_path[PETSC_MAX_PATH_LEN] = "./STGInflow.dat"; 299 char stg_rand_path[PETSC_MAX_PATH_LEN] = "./STGRand.dat"; 300 PetscBool mean_only = PETSC_FALSE, use_stgstrong = PETSC_FALSE, use_fluctuating_IC = PETSC_FALSE; 301 CeedScalar u0 = 0.0, alpha = 1.01; 302 CeedQFunctionContext stg_context; 303 NewtonianIdealGasContext newtonian_ig_ctx; 304 PetscFunctionBeginUser; 305 306 // Get options 307 PetscOptionsBegin(comm, NULL, "STG Boundary Condition Options", NULL); 308 PetscCall(PetscOptionsString("-stg_inflow_path", "Path to STGInflow.dat", NULL, stg_inflow_path, stg_inflow_path, sizeof(stg_inflow_path), NULL)); 309 PetscCall(PetscOptionsString("-stg_rand_path", "Path to STGInflow.dat", NULL, stg_rand_path, stg_rand_path, sizeof(stg_rand_path), NULL)); 310 PetscCall(PetscOptionsReal("-stg_alpha", "Growth rate of the wavemodes", NULL, alpha, &alpha, NULL)); 311 PetscCall(PetscOptionsReal("-stg_u0", "Advective velocity for the fluctuations", NULL, u0, &u0, NULL)); 312 PetscCall(PetscOptionsBool("-stg_mean_only", "Only apply mean profile", NULL, mean_only, &mean_only, NULL)); 313 PetscCall(PetscOptionsBool("-stg_strong", "Enforce STG inflow strongly", NULL, use_stgstrong, &use_stgstrong, NULL)); 314 PetscCall(PetscOptionsBool("-stg_fluctuating_IC", "\"Extrude\" the fluctuations through the domain as an initial condition", NULL, 315 use_fluctuating_IC, &use_fluctuating_IC, NULL)); 316 PetscOptionsEnd(); 317 318 PetscCall(PetscCalloc1(1, &global_stg_ctx)); 319 global_stg_ctx->alpha = alpha; 320 global_stg_ctx->u0 = u0; 321 global_stg_ctx->is_implicit = user->phys->implicit; 322 global_stg_ctx->prescribe_T = prescribe_T; 323 global_stg_ctx->mean_only = mean_only; 324 global_stg_ctx->use_fluctuating_IC = use_fluctuating_IC; 325 global_stg_ctx->theta0 = theta0; 326 global_stg_ctx->P0 = P0; 327 global_stg_ctx->nynodes = nynodes; 328 329 { 330 // Calculate dx assuming constant spacing 331 PetscReal domain_min[3], domain_max[3], domain_size[3]; 332 PetscCall(DMGetBoundingBox(dm, domain_min, domain_max)); 333 for (PetscInt i = 0; i < 3; i++) domain_size[i] = domain_max[i] - domain_min[i]; 334 335 PetscInt nmax = 3, faces[3]; 336 PetscCall(PetscOptionsGetIntArray(NULL, NULL, "-dm_plex_box_faces", faces, &nmax, NULL)); 337 global_stg_ctx->dx = domain_size[0] / faces[0]; 338 global_stg_ctx->dz = domain_size[2] / faces[2]; 339 } 340 341 CeedQFunctionContextGetData(problem->apply_vol_rhs.qfunction_context, CEED_MEM_HOST, &newtonian_ig_ctx); 342 global_stg_ctx->newtonian_ctx = *newtonian_ig_ctx; 343 CeedQFunctionContextRestoreData(problem->apply_vol_rhs.qfunction_context, &newtonian_ig_ctx); 344 345 PetscCall(GetSTGContextData(comm, dm, stg_inflow_path, stg_rand_path, &global_stg_ctx, ynodes)); 346 347 CeedQFunctionContextCreate(user->ceed, &stg_context); 348 CeedQFunctionContextSetData(stg_context, CEED_MEM_HOST, CEED_USE_POINTER, global_stg_ctx->total_bytes, global_stg_ctx); 349 CeedQFunctionContextSetDataDestroy(stg_context, CEED_MEM_HOST, FreeContextPetsc); 350 CeedQFunctionContextRegisterDouble(stg_context, "solution time", offsetof(struct STGShur14Context_, time), 1, "Physical time of the solution"); 351 352 CeedQFunctionContextDestroy(&problem->ics.qfunction_context); 353 problem->ics.qfunction = ICsSTG; 354 problem->ics.qfunction_loc = ICsSTG_loc; 355 problem->ics.qfunction_context = stg_context; 356 357 if (use_stgstrong) { 358 // Use default boundary integral QF (BoundaryIntegral) in newtonian.h 359 problem->use_dirichlet_ceed = PETSC_TRUE; 360 problem->bc_from_ics = PETSC_FALSE; 361 } else { 362 problem->apply_inflow.qfunction = STGShur14_Inflow; 363 problem->apply_inflow.qfunction_loc = STGShur14_Inflow_loc; 364 problem->apply_inflow_jacobian.qfunction = STGShur14_Inflow_Jacobian; 365 problem->apply_inflow_jacobian.qfunction_loc = STGShur14_Inflow_Jacobian_loc; 366 CeedQFunctionContextReferenceCopy(stg_context, &problem->apply_inflow.qfunction_context); 367 CeedQFunctionContextReferenceCopy(stg_context, &problem->apply_inflow_jacobian.qfunction_context); 368 problem->bc_from_ics = PETSC_TRUE; 369 } 370 371 PetscFunctionReturn(0); 372 } 373 374 static inline PetscScalar FindDy(const PetscScalar ynodes[], const PetscInt nynodes, const PetscScalar y) { 375 const PetscScalar half_mindy = 0.5 * (ynodes[1] - ynodes[0]); 376 // ^^assuming min(dy) is first element off the wall 377 PetscInt idx = -1; // Index 378 379 for (PetscInt i = 0; i < nynodes; i++) { 380 if (y < ynodes[i] + half_mindy) { 381 idx = i; 382 break; 383 } 384 } 385 if (idx == 0) return ynodes[1] - ynodes[0]; 386 else if (idx == nynodes - 1) return ynodes[nynodes - 2] - ynodes[nynodes - 1]; 387 else return 0.5 * (ynodes[idx + 1] - ynodes[idx - 1]); 388 } 389 390 // Function passed to DMAddBoundary 391 // NOTE: Not used in favor of QFunction-based method 392 PetscErrorCode StrongSTGbcFunc(PetscInt dim, PetscReal time, const PetscReal x[], PetscInt Nc, PetscScalar bcval[], void *ctx) { 393 PetscFunctionBeginUser; 394 395 const STGShur14Context stg_ctx = (STGShur14Context)ctx; 396 PetscScalar qn[stg_ctx->nmodes], u[3], ubar[3], cij[6], eps, lt; 397 const bool mean_only = stg_ctx->mean_only; 398 const PetscScalar dx = stg_ctx->dx; 399 const PetscScalar dz = stg_ctx->dz; 400 const PetscScalar mu = stg_ctx->newtonian_ctx.mu; 401 const PetscScalar theta0 = stg_ctx->theta0; 402 const PetscScalar P0 = stg_ctx->P0; 403 const PetscScalar cv = stg_ctx->newtonian_ctx.cv; 404 const PetscScalar cp = stg_ctx->newtonian_ctx.cp; 405 const PetscScalar Rd = cp - cv; 406 407 const CeedScalar rho = P0 / (Rd * theta0); 408 InterpolateProfile(x[1], ubar, cij, &eps, <, stg_ctx); 409 if (!mean_only) { 410 const PetscInt nynodes = stg_ctx->nynodes; 411 const PetscScalar *ynodes = &stg_ctx->data[stg_ctx->offsets.ynodes]; 412 const PetscScalar h[3] = {dx, FindDy(ynodes, nynodes, x[1]), dz}; 413 CalcSpectrum(x[1], eps, lt, h, mu / rho, qn, stg_ctx); 414 STGShur14_Calc(x, time, ubar, cij, qn, u, stg_ctx); 415 } else { 416 for (CeedInt j = 0; j < 3; j++) u[j] = ubar[j]; 417 } 418 419 bcval[0] = rho; 420 bcval[1] = rho * u[0]; 421 bcval[2] = rho * u[1]; 422 bcval[3] = rho * u[2]; 423 PetscFunctionReturn(0); 424 } 425 426 PetscErrorCode SetupStrongSTG(DM dm, SimpleBC bc, ProblemData *problem, Physics phys) { 427 DMLabel label; 428 PetscFunctionBeginUser; 429 430 PetscInt comps[5], num_comps = 4; 431 switch (phys->state_var) { 432 case STATEVAR_CONSERVATIVE: 433 // {0,1,2,3} for rho, rho*u, rho*v, rho*w 434 for (int i = 0; i < 4; i++) comps[i] = i; 435 break; 436 437 case STATEVAR_PRIMITIVE: 438 // {1,2,3,4} for u, v, w, T 439 for (int i = 0; i < 4; i++) comps[i] = i + 1; 440 break; 441 } 442 443 PetscCall(DMGetLabel(dm, "Face Sets", &label)); 444 // Set wall BCs 445 if (bc->num_inflow > 0) { 446 PetscCall(DMAddBoundary(dm, DM_BC_ESSENTIAL, "STG", label, bc->num_inflow, bc->inflows, 0, num_comps, comps, (void (*)(void))StrongSTGbcFunc, 447 NULL, global_stg_ctx, NULL)); 448 } 449 450 PetscFunctionReturn(0); 451 } 452 453 PetscErrorCode SetupStrongSTG_QF(Ceed ceed, ProblemData *problem, CeedInt num_comp_x, CeedInt num_comp_q, CeedInt stg_data_size, 454 CeedInt q_data_size_sur, CeedQFunction *pqf_strongbc) { 455 CeedQFunction qf_strongbc; 456 PetscFunctionBeginUser; 457 CeedQFunctionCreateInterior(ceed, 1, STGShur14_Inflow_StrongQF, STGShur14_Inflow_StrongQF_loc, &qf_strongbc); 458 CeedQFunctionAddInput(qf_strongbc, "surface qdata", q_data_size_sur, CEED_EVAL_NONE); 459 CeedQFunctionAddInput(qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE); 460 CeedQFunctionAddInput(qf_strongbc, "scale", 1, CEED_EVAL_NONE); 461 CeedQFunctionAddInput(qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE); 462 CeedQFunctionAddOutput(qf_strongbc, "q", num_comp_q, CEED_EVAL_NONE); 463 464 CeedQFunctionSetContext(qf_strongbc, problem->ics.qfunction_context); 465 *pqf_strongbc = qf_strongbc; 466 PetscFunctionReturn(0); 467 } 468 469 PetscErrorCode SetupStrongSTG_PreProcessing(Ceed ceed, ProblemData *problem, CeedInt num_comp_x, CeedInt stg_data_size, CeedInt q_data_size_sur, 470 CeedQFunction *pqf_strongbc) { 471 CeedQFunction qf_strongbc; 472 PetscFunctionBeginUser; 473 CeedQFunctionCreateInterior(ceed, 1, Preprocess_STGShur14, Preprocess_STGShur14_loc, &qf_strongbc); 474 CeedQFunctionAddInput(qf_strongbc, "surface qdata", q_data_size_sur, CEED_EVAL_NONE); 475 CeedQFunctionAddInput(qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE); 476 CeedQFunctionAddOutput(qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE); 477 478 CeedQFunctionSetContext(qf_strongbc, problem->ics.qfunction_context); 479 *pqf_strongbc = qf_strongbc; 480 PetscFunctionReturn(0); 481 } 482