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