1 // SPDX-FileCopyrightText: Copyright (c) 2017-2024, HONEE contributors. 2 // SPDX-License-Identifier: Apache-2.0 OR BSD-2-Clause 3 4 /// @file 5 /// Implementation of the Synthetic Turbulence Generation (STG) algorithm 6 /// presented in Shur et al. 2014 7 8 #include "stg_shur14.h" 9 10 #include <ceed.h> 11 #include <math.h> 12 #include <petscdm.h> 13 #include <stdlib.h> 14 15 #include <navierstokes.h> 16 #include "../qfunctions/stg_shur14.h" 17 18 StgShur14Context global_stg_ctx; 19 20 /* 21 * @brief Perform Cholesky decomposition on array of symmetric 3x3 matrices 22 * 23 * This assumes the input matrices are in order [11,22,33,12,13,23]. 24 * This format is also used for the output. 25 * 26 * @param[in] comm MPI_Comm 27 * @param[in] nprofs Number of matrices in Rij 28 * @param[in] Rij Array of the symmetric matrices [6,nprofs] 29 * @param[out] Cij Array of the Cholesky Decomposition matrices, [6,nprofs] 30 */ 31 PetscErrorCode CalcCholeskyDecomp(MPI_Comm comm, PetscInt nprofs, const CeedScalar Rij[6][nprofs], CeedScalar Cij[6][nprofs]) { 32 PetscFunctionBeginUser; 33 for (PetscInt i = 0; i < nprofs; i++) { 34 Cij[0][i] = sqrt(Rij[0][i]); 35 Cij[3][i] = Rij[3][i] / Cij[0][i]; 36 Cij[1][i] = sqrt(Rij[1][i] - Square(Cij[3][i])); 37 Cij[4][i] = Rij[4][i] / Cij[0][i]; 38 Cij[5][i] = (Rij[5][i] - Cij[3][i] * Cij[4][i]) / Cij[1][i]; 39 Cij[2][i] = sqrt(Rij[2][i] - Square(Cij[4][i]) - Square(Cij[5][i])); 40 41 PetscCheck(!isnan(Cij[0][i]) && !isnan(Cij[1][i]) && !isnan(Cij[2][i]), comm, PETSC_ERR_FP, 42 "Cholesky decomposition failed at profile point %" PetscInt_FMT ". Either STGInflow has non-SPD matrix or contains nan.", i + 1); 43 } 44 PetscFunctionReturn(PETSC_SUCCESS); 45 } 46 47 /* 48 * @brief Read the STGInflow file and load the contents into stg_ctx 49 * 50 * 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. 51 * Assumes there are 14 columns in the file. 52 * 53 * Function calculates the Cholesky decomposition from the Reynolds stress profile found in the file. 54 * 55 * @param[in] comm MPI_Comm for the program 56 * @param[in] path Path to the STGInflow.dat file 57 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 58 */ 59 static PetscErrorCode ReadStgInflow(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], StgShur14Context stg_ctx) { 60 PetscInt dims[2]; 61 int ndims; 62 FILE *fp; 63 const PetscInt char_array_len = 512; 64 char line[char_array_len]; 65 char **array; 66 67 PetscFunctionBeginUser; 68 PetscCall(PhastaDatFileOpen(comm, path, char_array_len, dims, &fp)); 69 70 CeedScalar rij[6][stg_ctx->nprofs]; 71 CeedScalar *wall_dist = &stg_ctx->data[stg_ctx->offsets.wall_dist]; 72 CeedScalar *eps = &stg_ctx->data[stg_ctx->offsets.eps]; 73 CeedScalar *lt = &stg_ctx->data[stg_ctx->offsets.lt]; 74 CeedScalar(*ubar)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.ubar]; 75 76 for (PetscInt i = 0; i < stg_ctx->nprofs; i++) { 77 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 78 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 79 PetscCheck(ndims == dims[1], comm, PETSC_ERR_FILE_UNEXPECTED, 80 "Line %" PetscInt_FMT " of %s does not have correct number of columns (%d instead of %" PetscInt_FMT ")", i, path, ndims, dims[1]); 81 82 wall_dist[i] = (CeedScalar)atof(array[0]); 83 ubar[0][i] = (CeedScalar)atof(array[1]); 84 ubar[1][i] = (CeedScalar)atof(array[2]); 85 ubar[2][i] = (CeedScalar)atof(array[3]); 86 rij[0][i] = (CeedScalar)atof(array[4]); 87 rij[1][i] = (CeedScalar)atof(array[5]); 88 rij[2][i] = (CeedScalar)atof(array[6]); 89 rij[3][i] = (CeedScalar)atof(array[7]); 90 rij[4][i] = (CeedScalar)atof(array[8]); 91 rij[5][i] = (CeedScalar)atof(array[9]); 92 lt[i] = (CeedScalar)atof(array[12]); 93 eps[i] = (CeedScalar)atof(array[13]); 94 95 PetscCheck(wall_dist[i] >= 0, comm, PETSC_ERR_FILE_UNEXPECTED, "Distance to wall in %s cannot be negative", path); 96 PetscCheck(lt[i] >= 0, comm, PETSC_ERR_FILE_UNEXPECTED, "Turbulent length scale in %s cannot be negative", path); 97 PetscCheck(eps[i] >= 0, comm, PETSC_ERR_FILE_UNEXPECTED, "Turbulent dissipation in %s cannot be negative", path); 98 PetscCall(PetscStrToArrayDestroy(ndims, array)); 99 } 100 CeedScalar(*cij)[stg_ctx->nprofs] = (CeedScalar(*)[stg_ctx->nprofs]) & stg_ctx->data[stg_ctx->offsets.cij]; 101 PetscCall(CalcCholeskyDecomp(comm, stg_ctx->nprofs, rij, cij)); 102 PetscCall(PetscFClose(comm, fp)); 103 PetscFunctionReturn(PETSC_SUCCESS); 104 } 105 106 /* 107 * @brief Read the STGRand file and load the contents into stg_ctx 108 * 109 * 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. 110 * Assumes there are 7 columns in the file. 111 * 112 * @param[in] comm MPI_Comm for the program 113 * @param[in] path Path to the STGRand.dat file 114 * @param[in,out] stg_ctx STGShur14Context where the data will be loaded into 115 */ 116 static PetscErrorCode ReadStgRand(const MPI_Comm comm, const char path[PETSC_MAX_PATH_LEN], StgShur14Context stg_ctx) { 117 PetscInt dims[2]; 118 int ndims; 119 FILE *fp; 120 const PetscInt char_array_len = 512; 121 char line[char_array_len]; 122 char **array; 123 124 PetscFunctionBeginUser; 125 PetscCall(PhastaDatFileOpen(comm, path, char_array_len, dims, &fp)); 126 127 CeedScalar *phi = &stg_ctx->data[stg_ctx->offsets.phi]; 128 CeedScalar(*d)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.d]; 129 CeedScalar(*sigma)[stg_ctx->nmodes] = (CeedScalar(*)[stg_ctx->nmodes]) & stg_ctx->data[stg_ctx->offsets.sigma]; 130 131 for (PetscInt i = 0; i < stg_ctx->nmodes; i++) { 132 PetscCall(PetscSynchronizedFGets(comm, fp, char_array_len, line)); 133 PetscCall(PetscStrToArray(line, ' ', &ndims, &array)); 134 PetscCheck(ndims == dims[1], comm, PETSC_ERR_FILE_UNEXPECTED, 135 "Line %" PetscInt_FMT " of %s does not have correct number of columns (%d instead of %" PetscInt_FMT ")", i, path, ndims, dims[1]); 136 137 d[0][i] = (CeedScalar)atof(array[0]); 138 d[1][i] = (CeedScalar)atof(array[1]); 139 d[2][i] = (CeedScalar)atof(array[2]); 140 phi[i] = (CeedScalar)atof(array[3]); 141 sigma[0][i] = (CeedScalar)atof(array[4]); 142 sigma[1][i] = (CeedScalar)atof(array[5]); 143 sigma[2][i] = (CeedScalar)atof(array[6]); 144 PetscCall(PetscStrToArrayDestroy(ndims, array)); 145 } 146 PetscCall(PetscFClose(comm, fp)); 147 PetscFunctionReturn(PETSC_SUCCESS); 148 } 149 150 /* 151 * @brief Read STG data from input paths and put in STGShur14Context 152 * 153 * Reads data from input paths and puts them into a STGShur14Context object. 154 * Data stored initially in `*stg_ctx` will be copied over to the new STGShur14Context instance. 155 * 156 * @param[in] comm MPI_Comm for the program 157 * @param[in] dm DM for the program 158 * @param[in] stg_inflow_path Path to STGInflow.dat file 159 * @param[in] stg_rand_path Path to STGRand.dat file 160 * @param[in,out] stg_ctx Pointer to STGShur14Context where the data will be loaded into 161 */ 162 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], 163 StgShur14Context *stg_ctx) { 164 PetscInt nmodes = 0, nprofs; 165 166 PetscFunctionBeginUser; 167 PetscCall(PhastaDatFileGetNRows(comm, stg_inflow_path, &nprofs)); 168 const PetscBool need_rand = (!(*stg_ctx)->mean_only) || (*stg_ctx)->use_fluctuating_IC; 169 if (need_rand) { 170 PetscCall(PhastaDatFileGetNRows(comm, stg_rand_path, &nmodes)); 171 PetscCheck(nmodes < STG_NMODES_MAX, comm, PETSC_ERR_SUP, 172 "Number of wavemodes in %s (%" PetscInt_FMT ") exceeds STG_NMODES_MAX (%d). Change size of STG_NMODES_MAX and recompile", 173 stg_rand_path, nmodes, STG_NMODES_MAX); 174 } 175 176 { 177 StgShur14Context temp_ctx; 178 PetscCall(PetscNew(&temp_ctx)); 179 *temp_ctx = **stg_ctx; 180 temp_ctx->nmodes = nmodes; 181 temp_ctx->nprofs = nprofs; 182 // nmode = 0 if random numbers are not read from file, therefore offsets will be correctly handled 183 temp_ctx->offsets.sigma = 0; 184 temp_ctx->offsets.d = nmodes * 3; 185 temp_ctx->offsets.phi = temp_ctx->offsets.d + nmodes * 3; 186 temp_ctx->offsets.kappa = temp_ctx->offsets.phi + nmodes; 187 temp_ctx->offsets.wall_dist = temp_ctx->offsets.kappa + nmodes; 188 temp_ctx->offsets.ubar = temp_ctx->offsets.wall_dist + nprofs; 189 temp_ctx->offsets.cij = temp_ctx->offsets.ubar + nprofs * 3; 190 temp_ctx->offsets.eps = temp_ctx->offsets.cij + nprofs * 6; 191 temp_ctx->offsets.lt = temp_ctx->offsets.eps + nprofs; 192 PetscInt total_num_scalars = temp_ctx->offsets.lt + nprofs; 193 temp_ctx->total_bytes = sizeof(*temp_ctx) + total_num_scalars * sizeof(temp_ctx->data[0]); 194 PetscCall(PetscFree(*stg_ctx)); 195 PetscCall(PetscMalloc(temp_ctx->total_bytes, stg_ctx)); 196 **stg_ctx = *temp_ctx; 197 PetscCall(PetscFree(temp_ctx)); 198 } 199 200 PetscCall(ReadStgInflow(comm, stg_inflow_path, *stg_ctx)); 201 if (need_rand) { 202 PetscCall(ReadStgRand(comm, stg_rand_path, *stg_ctx)); 203 CeedScalar *kappa = &(*stg_ctx)->data[(*stg_ctx)->offsets.kappa]; 204 CeedScalar *wall_dist = &(*stg_ctx)->data[(*stg_ctx)->offsets.wall_dist]; 205 CeedScalar *lt = &(*stg_ctx)->data[(*stg_ctx)->offsets.lt]; 206 CeedScalar le, le_max = 0; 207 208 CeedPragmaSIMD for (PetscInt i = 0; i < (*stg_ctx)->nprofs; i++) { 209 le = PetscMin(2 * wall_dist[i], 3 * lt[i]); 210 if (le_max < le) le_max = le; 211 } 212 CeedScalar kmin = M_PI / le_max; 213 214 CeedPragmaSIMD for (PetscInt i = 0; i < (*stg_ctx)->nmodes; i++) { kappa[i] = kmin * pow((*stg_ctx)->alpha, i); } 215 } 216 PetscFunctionReturn(PETSC_SUCCESS); 217 } 218 219 static PetscErrorCode STGWeakInflowBCSetup_CreateIFunctionQF(BCDefinition bc_def, CeedQFunction *qf) { 220 HoneeBCStruct honee_bc; 221 222 PetscFunctionBeginUser; 223 PetscCall(BCDefinitionGetContext(bc_def, &honee_bc)); 224 PetscCall(HoneeBCCreateIFunctionQF(bc_def, StgShur14Inflow, StgShur14Inflow_loc, honee_bc->qfctx, qf)); 225 PetscFunctionReturn(PETSC_SUCCESS); 226 } 227 228 static PetscErrorCode STGWeakInflowBCSetup_CreateIJacobianQF(BCDefinition bc_def, CeedQFunction *qf) { 229 HoneeBCStruct honee_bc; 230 231 PetscFunctionBeginUser; 232 PetscCall(BCDefinitionGetContext(bc_def, &honee_bc)); 233 PetscCall(HoneeBCCreateIJacobianQF(bc_def, StgShur14Inflow_Jacobian, StgShur14Inflow_Jacobian_loc, honee_bc->qfctx, qf)); 234 PetscFunctionReturn(PETSC_SUCCESS); 235 } 236 237 PetscErrorCode SetupStg(const MPI_Comm comm, const DM dm, ProblemData problem, Honee honee, const bool prescribe_T, const CeedScalar theta0, 238 const CeedScalar P0) { 239 Ceed ceed = honee->ceed; 240 char stg_inflow_path[PETSC_MAX_PATH_LEN] = "./STGInflow.dat"; 241 char stg_rand_path[PETSC_MAX_PATH_LEN] = "./STGRand.dat"; 242 PetscBool mean_only = PETSC_FALSE, use_stgstrong = PETSC_FALSE, use_fluctuating_IC = PETSC_FALSE, given_stg_dx = PETSC_FALSE; 243 CeedScalar u0 = 0.0, alpha = 1.01, stg_dx = -1, stg_h_scale_factor = 1 / honee->app_ctx->degree; 244 CeedQFunctionContext stg_qfctx; 245 NewtonianIdealGasContext newtonian_ig_ctx; 246 247 PetscFunctionBeginUser; 248 PetscOptionsBegin(comm, NULL, "STG Boundary Condition Options", NULL); 249 PetscCall(PetscOptionsString("-stg_inflow_path", "Path to STGInflow.dat", NULL, stg_inflow_path, stg_inflow_path, sizeof(stg_inflow_path), NULL)); 250 PetscCall(PetscOptionsString("-stg_rand_path", "Path to STGRand.dat", NULL, stg_rand_path, stg_rand_path, sizeof(stg_rand_path), NULL)); 251 PetscCall(PetscOptionsReal("-stg_alpha", "Growth rate of the wavemodes", NULL, alpha, &alpha, NULL)); 252 PetscCall(PetscOptionsReal("-stg_u0", "Advective velocity for the fluctuations", NULL, u0, &u0, NULL)); 253 PetscCall(PetscOptionsBool("-stg_mean_only", "Only apply mean profile", NULL, mean_only, &mean_only, NULL)); 254 PetscCall(PetscOptionsBool("-stg_strong", "Enforce STG inflow strongly", NULL, use_stgstrong, &use_stgstrong, NULL)); 255 PetscCall(PetscOptionsBool("-stg_fluctuating_IC", "\"Extrude\" the fluctuations through the domain as an initial condition", NULL, 256 use_fluctuating_IC, &use_fluctuating_IC, NULL)); 257 PetscCall(PetscOptionsReal("-stg_dx", "Element length in x direction at inflow", NULL, stg_dx, &stg_dx, &given_stg_dx)); 258 if (given_stg_dx && use_stgstrong) PetscCall(PetscPrintf(comm, "WARNING: -stg_dx is ignored for -stg_strong\n")); 259 PetscCall(PetscOptionsReal("-stg_h_scale_factor", "Scale element size for cutoff frequency calculation", NULL, stg_h_scale_factor, 260 &stg_h_scale_factor, NULL)); 261 PetscCall(PetscOptionsDeprecated("-stg_dyScale", NULL, "libCEED 0.12.0", "Use -stg_h_scale_factor to scale all the element dimensions")); 262 PetscCall(PetscOptionsDeprecated("-stg_dz", NULL, "libCEED 0.12.0", NULL)); 263 PetscOptionsEnd(); 264 265 PetscCall(PetscCalloc1(1, &global_stg_ctx)); 266 global_stg_ctx->alpha = alpha; 267 global_stg_ctx->u0 = u0; 268 global_stg_ctx->is_implicit = honee->phys->implicit; 269 global_stg_ctx->prescribe_T = prescribe_T; 270 global_stg_ctx->mean_only = mean_only; 271 global_stg_ctx->use_fluctuating_IC = use_fluctuating_IC; 272 global_stg_ctx->theta0 = theta0; 273 global_stg_ctx->P0 = P0; 274 global_stg_ctx->h_scale_factor = stg_h_scale_factor; 275 276 if (!use_stgstrong) { // Calculate dx assuming constant spacing 277 PetscReal domain_min[3], domain_max[3], domain_size[3]; 278 PetscCall(DMGetBoundingBox(dm, domain_min, domain_max)); 279 for (PetscInt i = 0; i < 3; i++) domain_size[i] = domain_max[i] - domain_min[i]; 280 281 PetscInt nmax = 3, faces[3]; 282 PetscCall(PetscOptionsGetIntArray(NULL, NULL, "-dm_plex_box_faces", faces, &nmax, NULL)); 283 global_stg_ctx->dx = given_stg_dx ? stg_dx : domain_size[0] / faces[0]; 284 PetscCheck((global_stg_ctx->dx > 0) && PetscIsNormalReal((PetscReal)global_stg_ctx->dx), comm, PETSC_ERR_LIB, 285 "STG dx must be positive normal number, got %g", global_stg_ctx->dx); 286 } 287 288 PetscCallCeed(ceed, CeedQFunctionContextGetData(problem->apply_vol_rhs.qfctx, CEED_MEM_HOST, &newtonian_ig_ctx)); 289 global_stg_ctx->newtonian_ctx = *newtonian_ig_ctx; 290 PetscCallCeed(ceed, CeedQFunctionContextRestoreData(problem->apply_vol_rhs.qfctx, &newtonian_ig_ctx)); 291 292 PetscCall(GetStgContextData(comm, dm, stg_inflow_path, stg_rand_path, &global_stg_ctx)); 293 294 PetscCallCeed(ceed, CeedQFunctionContextCreate(honee->ceed, &stg_qfctx)); 295 PetscCallCeed(ceed, CeedQFunctionContextSetData(stg_qfctx, CEED_MEM_HOST, CEED_USE_POINTER, global_stg_ctx->total_bytes, global_stg_ctx)); 296 PetscCallCeed(ceed, CeedQFunctionContextSetDataDestroy(stg_qfctx, CEED_MEM_HOST, FreeContextPetsc)); 297 PetscCallCeed(ceed, CeedQFunctionContextRegisterDouble(stg_qfctx, "solution time", offsetof(struct STGShur14Context_, time), 1, 298 "Physical time of the solution")); 299 300 PetscCallCeed(ceed, CeedQFunctionContextDestroy(&problem->ics.qfctx)); 301 problem->ics.qf_func_ptr = ICsStg; 302 problem->ics.qf_loc = ICsStg_loc; 303 problem->ics.qfctx = stg_qfctx; 304 305 if (use_stgstrong) { 306 // Use default boundary integral QF (BoundaryIntegral) in newtonian.h 307 problem->use_strong_bc_ceed = PETSC_TRUE; 308 problem->set_bc_from_ics = PETSC_FALSE; 309 } else { 310 for (PetscCount b = 0; b < problem->num_bc_defs; b++) { 311 BCDefinition bc_def = problem->bc_defs[b]; 312 const char *name; 313 314 PetscCall(BCDefinitionGetInfo(bc_def, &name, NULL, NULL)); 315 if (!strcmp(name, "inflow")) { 316 HoneeBCStruct honee_bc; 317 318 PetscCall(PetscNew(&honee_bc)); 319 PetscCallCeed(ceed, CeedQFunctionContextReferenceCopy(stg_qfctx, &honee_bc->qfctx)); 320 honee_bc->honee = honee; 321 honee_bc->num_comps_jac_data = honee->phys->implicit ? 11 : 0; 322 PetscCall(BCDefinitionSetContext(bc_def, HoneeBCDestroy, honee_bc)); 323 324 PetscCall(BCDefinitionSetIFunction(bc_def, STGWeakInflowBCSetup_CreateIFunctionQF, HoneeBCAddIFunctionOp)); 325 PetscCall(BCDefinitionSetIJacobian(bc_def, STGWeakInflowBCSetup_CreateIJacobianQF, HoneeBCAddIJacobianOp)); 326 } 327 } 328 problem->set_bc_from_ics = PETSC_TRUE; 329 } 330 PetscFunctionReturn(PETSC_SUCCESS); 331 } 332 333 // @brief Set STG strongly enforce components using DMAddBoundary 334 PetscErrorCode SetupStrongStg(DM dm, ProblemData problem, Physics phys) { 335 DMLabel label; 336 PetscInt comps[5], num_comps = 4; 337 338 PetscFunctionBeginUser; 339 switch (phys->state_var) { 340 case STATEVAR_CONSERVATIVE: 341 // {0,1,2,3} for rho, rho*u, rho*v, rho*w 342 for (int i = 0; i < 4; i++) comps[i] = i; 343 break; 344 345 case STATEVAR_PRIMITIVE: 346 // {1,2,3,4} for u, v, w, T 347 for (int i = 0; i < 4; i++) comps[i] = i + 1; 348 break; 349 350 case STATEVAR_ENTROPY: 351 // {1,2,3,4} 352 for (int i = 0; i < 4; i++) comps[i] = i + 1; 353 break; 354 } 355 356 PetscCall(DMGetLabel(dm, "Face Sets", &label)); 357 for (PetscCount b = 0; b < problem->num_bc_defs; b++) { 358 BCDefinition bc_def = problem->bc_defs[b]; 359 const char *name; 360 361 PetscCall(BCDefinitionGetInfo(bc_def, &name, NULL, NULL)); 362 if (!strcmp(name, "inflow")) PetscCall(BCDefinitionSetEssential(bc_def, num_comps, comps)); 363 } 364 PetscFunctionReturn(PETSC_SUCCESS); 365 } 366 367 PetscErrorCode SetupStrongStg_QF(Ceed ceed, ProblemData problem, CeedInt num_comp_x, CeedInt num_comp_q, CeedInt stg_data_size, CeedInt dXdx_size, 368 CeedQFunction *qf_strongbc) { 369 PetscFunctionBeginUser; 370 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, StgShur14InflowStrongQF, StgShur14InflowStrongQF_loc, qf_strongbc)); 371 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "dXdx", dXdx_size, CEED_EVAL_NONE)); 372 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE)); 373 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "scale", 1, CEED_EVAL_NONE)); 374 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE)); 375 PetscCallCeed(ceed, CeedQFunctionAddOutput(*qf_strongbc, "q", num_comp_q, CEED_EVAL_NONE)); 376 377 PetscCallCeed(ceed, CeedQFunctionSetContext(*qf_strongbc, problem->ics.qfctx)); 378 PetscFunctionReturn(PETSC_SUCCESS); 379 } 380 381 PetscErrorCode SetupStrongStg_PreProcessing(Ceed ceed, ProblemData problem, CeedInt num_comp_x, CeedInt stg_data_size, CeedInt dXdx_size, 382 CeedQFunction *qf_strongbc) { 383 PetscFunctionBeginUser; 384 PetscCallCeed(ceed, CeedQFunctionCreateInterior(ceed, 1, StgShur14Preprocess, StgShur14Preprocess_loc, qf_strongbc)); 385 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "dXdx", dXdx_size, CEED_EVAL_NONE)); 386 PetscCallCeed(ceed, CeedQFunctionAddInput(*qf_strongbc, "x", num_comp_x, CEED_EVAL_NONE)); 387 PetscCallCeed(ceed, CeedQFunctionAddOutput(*qf_strongbc, "stg data", stg_data_size, CEED_EVAL_NONE)); 388 389 PetscCallCeed(ceed, CeedQFunctionSetContext(*qf_strongbc, problem->ics.qfctx)); 390 PetscFunctionReturn(PETSC_SUCCESS); 391 } 392