Actual source code: ex16.c

  1: static char help[] = "Large-deformation Elasticity Buckling Example";

  3: /*F-----------------------------------------------------------------------

  5:     This example solves the 3D large deformation elasticity problem

  7: \begin{equation}
  8:  \int_{\Omega}F \cdot S : \nabla v d\Omega + \int_{\Omega} (loading)\mathbf{e}_y \cdot v d\Omega = 0
  9: \end{equation}

 11:     F is the deformation gradient, and S is the second Piola-Kirchhoff tensor from the Saint Venant-Kirchhoff model of
 12:     hyperelasticity.  \Omega is a (arc) angle subsection of a cylindrical shell of thickness (height), inner radius
 13:     (rad) and width (width).  The problem is discretized using Q1 finite elements on a logically structured grid.
 14:     Homogeneous Dirichlet boundary conditions are applied at the centers of the ends of the sphere.

 16:     This example is tunable with the following options:
 17:     -rad : the radius of the circle
 18:     -arc : set the angle of the arch represented
 19:     -loading : set the bulk loading (the mass)
 20:     -ploading : set the point loading at the top
 21:     -height : set the height of the arch
 22:     -width : set the width of the arch
 23:     -view_line : print initial and final offsets of the centerline of the
 24:                  beam along the x direction

 26:     The material properties may be modified using either:
 27:     -mu      : the first lame' parameter
 28:     -lambda  : the second lame' parameter

 30:     Or:
 31:     -young   : the Young's modulus
 32:     -poisson : the poisson ratio

 34:     This example is meant to show the strain placed upon the nonlinear solvers when trying to "snap through" the arch
 35:     using the loading.  Under certain parameter regimes, the arch will invert under the load, and the number of Newton
 36:     steps will jump considerably.  Composed nonlinear solvers may be used to mitigate this difficulty.  This example
 37:     also demonstrates the use of the arc length continuation method NEWTONAL, which avoids the numerical difficulties
 38:     of the snap-through via tracing the equilibrium path through load increments.

 40:     The initial setup follows the example in pg. 268 of "Nonlinear Finite Element Methods" by Peter Wriggers, but is a
 41:     3D extension.

 43:   ------------------------------------------------------------------------F*/

 45: #include <petscsnes.h>
 46: #include <petscdm.h>
 47: #include <petscdmda.h>

 49: #define QP0 0.2113248654051871
 50: #define QP1 0.7886751345948129
 51: #define NQ  2
 52: #define NB  2
 53: #define NEB 8
 54: #define NEQ 8
 55: #define NPB 24

 57: #define NVALS NEB *NEQ
 58: const PetscReal pts[NQ] = {QP0, QP1};
 59: const PetscReal wts[NQ] = {0.5, 0.5};

 61: PetscScalar vals[NVALS];
 62: PetscScalar grad[3 * NVALS];

 64: typedef PetscScalar Field[3];
 65: typedef PetscScalar CoordField[3];

 67: typedef PetscScalar JacField[9];

 69: PetscErrorCode FormFunctionLocal(DMDALocalInfo *, Field ***, Field ***, void *);
 70: PetscErrorCode FormJacobianLocal(DMDALocalInfo *, Field ***, Mat, Mat, void *);
 71: PetscErrorCode DisplayLine(SNES, Vec);
 72: PetscErrorCode FormElements(void);

 74: typedef struct {
 75:   PetscReal loading;
 76:   PetscReal mu;
 77:   PetscReal lambda;
 78:   PetscReal rad;
 79:   PetscReal height;
 80:   PetscReal width;
 81:   PetscReal arc;
 82:   PetscReal ploading;
 83:   PetscReal load_factor;
 84: } AppCtx;

 86: PetscErrorCode InitialGuess(DM, AppCtx *, Vec);
 87: PetscErrorCode ArcLengthScaling(DM, AppCtx *, Vec);
 88: PetscErrorCode FormRHS(DM, AppCtx *, Vec);
 89: PetscErrorCode FormCoordinates(DM, AppCtx *);
 90: PetscErrorCode TangentLoad(SNES, Vec, Vec, void *);

 92: int main(int argc, char **argv)
 93: {
 94:   AppCtx    user; /* user-defined work context */
 95:   PetscInt  mx, my, its;
 96:   MPI_Comm  comm;
 97:   SNES      snes;
 98:   DM        da;
 99:   Vec       x, X, b;
100:   PetscBool youngflg, poissonflg, muflg, lambdaflg, alflg, view = PETSC_FALSE, viewline = PETSC_FALSE, al_rescale = PETSC_FALSE;
101:   PetscReal poisson = 0.2, young = 4e4;
102:   char      filename[PETSC_MAX_PATH_LEN]     = "ex16.vts";
103:   char      filename_def[PETSC_MAX_PATH_LEN] = "ex16_def.vts";

105:   PetscFunctionBeginUser;
106:   PetscCall(PetscInitialize(&argc, &argv, NULL, help));
107:   PetscCall(FormElements());
108:   comm = PETSC_COMM_WORLD;
109:   PetscCall(SNESCreate(comm, &snes));
110:   PetscCall(DMDACreate3d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE, DM_BOUNDARY_NONE, DMDA_STENCIL_BOX, 11, 2, 2, PETSC_DECIDE, PETSC_DECIDE, PETSC_DECIDE, 3, 1, NULL, NULL, NULL, &da));
111:   PetscCall(DMSetFromOptions(da));
112:   PetscCall(DMSetUp(da));
113:   PetscCall(SNESSetDM(snes, (DM)da));

115:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE, PETSC_IGNORE));
116:   user.loading     = 0.0;
117:   user.arc         = PETSC_PI / 3.;
118:   user.mu          = 4.0;
119:   user.lambda      = 1.0;
120:   user.rad         = 100.0;
121:   user.height      = 3.;
122:   user.width       = 1.;
123:   user.ploading    = -5e3;
124:   user.load_factor = 1.0;

126:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-arc", &user.arc, NULL));
127:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-mu", &user.mu, &muflg));
128:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-lambda", &user.lambda, &lambdaflg));
129:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-rad", &user.rad, NULL));
130:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-height", &user.height, NULL));
131:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-width", &user.width, NULL));
132:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-loading", &user.loading, NULL));
133:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-ploading", &user.ploading, NULL));
134:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-poisson", &poisson, &poissonflg));
135:   PetscCall(PetscOptionsGetReal(NULL, NULL, "-young", &young, &youngflg));
136:   if (youngflg || poissonflg || !(muflg || lambdaflg)) {
137:     /* set the lame' parameters based upon the poisson ratio and young's modulus */
138:     user.lambda = poisson * young / ((1. + poisson) * (1. - 2. * poisson));
139:     user.mu     = young / (2. * (1. + poisson));
140:   }
141:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-view", &view, NULL));
142:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-view_line", &viewline, NULL));
143:   PetscCall(PetscOptionsGetBool(NULL, NULL, "-rescale", &al_rescale, NULL));

145:   PetscCall(DMDASetFieldName(da, 0, "x_disp"));
146:   PetscCall(DMDASetFieldName(da, 1, "y_disp"));
147:   PetscCall(DMDASetFieldName(da, 2, "z_disp"));

149:   PetscCall(DMSetApplicationContext(da, &user));
150:   PetscCall(DMDASNESSetFunctionLocal(da, INSERT_VALUES, (DMDASNESFunctionFn *)FormFunctionLocal, &user));
151:   PetscCall(DMDASNESSetJacobianLocal(da, (DMDASNESJacobianFn *)FormJacobianLocal, &user));
152:   PetscCall(SNESSetFromOptions(snes));
153:   PetscCall(SNESNewtonALSetFunction(snes, TangentLoad, &user));
154:   PetscCall(PetscObjectTypeCompare((PetscObject)snes, SNESNEWTONAL, &alflg));
155:   if (alflg) {
156:     user.load_factor = 0.0;

158:     if (al_rescale) {
159:       Vec scaling;

161:       PetscCall(DMCreateGlobalVector(da, &scaling));
162:       PetscCall(ArcLengthScaling(da, &user, scaling));
163:       PetscCall(VecPointwiseMult(scaling, scaling, scaling));
164:       PetscCall(SNESNewtonALSetDiagonalScaling(snes, scaling));
165:       PetscCall(VecDestroy(&scaling));
166:     }
167:   }

169:   PetscCall(FormCoordinates(da, &user));

171:   PetscCall(DMCreateGlobalVector(da, &x));
172:   PetscCall(DMCreateGlobalVector(da, &b));
173:   PetscCall(InitialGuess(da, &user, x));
174:   PetscCall(FormRHS(da, &user, b));

176:   PetscCall(PetscPrintf(comm, "lambda: %f mu: %f\n", (double)user.lambda, (double)user.mu));

178:   /* show a cross-section of the initial state */
179:   if (viewline) PetscCall(DisplayLine(snes, x));

181:   /* get the loaded configuration */
182:   PetscCall(SNESSolve(snes, b, x));

184:   PetscCall(SNESGetIterationNumber(snes, &its));
185:   PetscCall(PetscPrintf(comm, "Number of SNES iterations = %" PetscInt_FMT "\n", its));
186:   PetscCall(SNESGetSolution(snes, &X));
187:   /* show a cross-section of the final state */
188:   if (viewline) PetscCall(DisplayLine(snes, X));

190:   if (view) {
191:     PetscViewer viewer;
192:     Vec         coords;
193:     PetscCall(PetscViewerVTKOpen(PETSC_COMM_WORLD, filename, FILE_MODE_WRITE, &viewer));
194:     PetscCall(VecView(x, viewer));
195:     PetscCall(PetscViewerDestroy(&viewer));
196:     PetscCall(DMGetCoordinates(da, &coords));
197:     PetscCall(VecAXPY(coords, 1.0, x));
198:     PetscCall(PetscViewerVTKOpen(PETSC_COMM_WORLD, filename_def, FILE_MODE_WRITE, &viewer));
199:     PetscCall(VecView(x, viewer));
200:     PetscCall(PetscViewerDestroy(&viewer));
201:   }

203:   PetscCall(VecDestroy(&x));
204:   PetscCall(VecDestroy(&b));
205:   PetscCall(DMDestroy(&da));
206:   PetscCall(SNESDestroy(&snes));
207:   PetscCall(PetscFinalize());
208:   return 0;
209: }

211: PetscInt OnBoundary(PetscInt i, PetscInt j, PetscInt k, PetscInt mx, PetscInt my, PetscInt mz)
212: {
213:   if ((i == 0 || i == mx - 1) && j == my - 1) return 1;
214:   return 0;
215: }

217: void BoundaryValue(PetscInt i, PetscInt j, PetscInt k, PetscInt mx, PetscInt my, PetscInt mz, PetscScalar *val, AppCtx *user)
218: {
219:   /* reference coordinates */
220:   PetscReal p_x = ((PetscReal)i) / ((PetscReal)(mx - 1));
221:   PetscReal p_y = ((PetscReal)j) / ((PetscReal)(my - 1));
222:   PetscReal p_z = ((PetscReal)k) / ((PetscReal)(mz - 1));
223:   PetscReal o_x = p_x;
224:   PetscReal o_y = p_y;
225:   PetscReal o_z = p_z;
226:   val[0]        = o_x - p_x;
227:   val[1]        = o_y - p_y;
228:   val[2]        = o_z - p_z;
229: }

231: void InvertTensor(PetscScalar *t, PetscScalar *ti, PetscReal *dett)
232: {
233:   const PetscScalar a   = t[0];
234:   const PetscScalar b   = t[1];
235:   const PetscScalar c   = t[2];
236:   const PetscScalar d   = t[3];
237:   const PetscScalar e   = t[4];
238:   const PetscScalar f   = t[5];
239:   const PetscScalar g   = t[6];
240:   const PetscScalar h   = t[7];
241:   const PetscScalar i   = t[8];
242:   const PetscReal   det = PetscRealPart(a * (e * i - f * h) - b * (i * d - f * g) + c * (d * h - e * g));
243:   const PetscReal   di  = 1. / det;
244:   if (ti) {
245:     const PetscScalar A  = (e * i - f * h);
246:     const PetscScalar B  = -(d * i - f * g);
247:     const PetscScalar C  = (d * h - e * g);
248:     const PetscScalar D  = -(b * i - c * h);
249:     const PetscScalar E  = (a * i - c * g);
250:     const PetscScalar F  = -(a * h - b * g);
251:     const PetscScalar G  = (b * f - c * e);
252:     const PetscScalar H  = -(a * f - c * d);
253:     const PetscScalar II = (a * e - b * d);
254:     ti[0]                = di * A;
255:     ti[1]                = di * D;
256:     ti[2]                = di * G;
257:     ti[3]                = di * B;
258:     ti[4]                = di * E;
259:     ti[5]                = di * H;
260:     ti[6]                = di * C;
261:     ti[7]                = di * F;
262:     ti[8]                = di * II;
263:   }
264:   if (dett) *dett = det;
265: }

267: void TensorTensor(PetscScalar *a, PetscScalar *b, PetscScalar *c)
268: {
269:   PetscInt i, j, m;
270:   for (i = 0; i < 3; i++) {
271:     for (j = 0; j < 3; j++) {
272:       c[i + 3 * j] = 0;
273:       for (m = 0; m < 3; m++) c[i + 3 * j] += a[m + 3 * j] * b[i + 3 * m];
274:     }
275:   }
276: }

278: void TensorTransposeTensor(PetscScalar *a, PetscScalar *b, PetscScalar *c)
279: {
280:   PetscInt i, j, m;
281:   for (i = 0; i < 3; i++) {
282:     for (j = 0; j < 3; j++) {
283:       c[i + 3 * j] = 0;
284:       for (m = 0; m < 3; m++) c[i + 3 * j] += a[3 * m + j] * b[i + 3 * m];
285:     }
286:   }
287: }

289: void TensorVector(PetscScalar *rot, PetscScalar *vec, PetscScalar *tvec)
290: {
291:   tvec[0] = rot[0] * vec[0] + rot[1] * vec[1] + rot[2] * vec[2];
292:   tvec[1] = rot[3] * vec[0] + rot[4] * vec[1] + rot[5] * vec[2];
293:   tvec[2] = rot[6] * vec[0] + rot[7] * vec[1] + rot[8] * vec[2];
294: }

296: void DeformationGradient(Field *ex, PetscInt qi, PetscInt qj, PetscInt qk, PetscScalar *invJ, PetscScalar *F)
297: {
298:   PetscInt ii, jj, kk, l;
299:   for (l = 0; l < 9; l++) F[l] = 0.;
300:   F[0] = 1.;
301:   F[4] = 1.;
302:   F[8] = 1.;
303:   /* form the deformation gradient at this basis function -- loop over element unknowns */
304:   for (kk = 0; kk < NB; kk++) {
305:     for (jj = 0; jj < NB; jj++) {
306:       for (ii = 0; ii < NB; ii++) {
307:         PetscInt    idx  = ii + jj * NB + kk * NB * NB;
308:         PetscInt    bidx = NEB * idx + qi + NQ * qj + NQ * NQ * qk;
309:         PetscScalar lgrad[3];
310:         TensorVector(invJ, &grad[3 * bidx], lgrad);
311:         F[0] += lgrad[0] * ex[idx][0];
312:         F[1] += lgrad[1] * ex[idx][0];
313:         F[2] += lgrad[2] * ex[idx][0];
314:         F[3] += lgrad[0] * ex[idx][1];
315:         F[4] += lgrad[1] * ex[idx][1];
316:         F[5] += lgrad[2] * ex[idx][1];
317:         F[6] += lgrad[0] * ex[idx][2];
318:         F[7] += lgrad[1] * ex[idx][2];
319:         F[8] += lgrad[2] * ex[idx][2];
320:       }
321:     }
322:   }
323: }

325: void DeformationGradientJacobian(PetscInt qi, PetscInt qj, PetscInt qk, PetscInt ii, PetscInt jj, PetscInt kk, PetscInt fld, PetscScalar *invJ, PetscScalar *dF)
326: {
327:   PetscInt    l;
328:   PetscScalar lgrad[3];
329:   PetscInt    idx  = ii + jj * NB + kk * NB * NB;
330:   PetscInt    bidx = NEB * idx + qi + NQ * qj + NQ * NQ * qk;
331:   for (l = 0; l < 9; l++) dF[l] = 0.;
332:   /* form the deformation gradient at this basis function -- loop over element unknowns */
333:   TensorVector(invJ, &grad[3 * bidx], lgrad);
334:   dF[3 * fld]     = lgrad[0];
335:   dF[3 * fld + 1] = lgrad[1];
336:   dF[3 * fld + 2] = lgrad[2];
337: }

339: void LagrangeGreenStrain(PetscScalar *F, PetscScalar *E)
340: {
341:   PetscInt i, j, m;
342:   for (i = 0; i < 3; i++) {
343:     for (j = 0; j < 3; j++) {
344:       E[i + 3 * j] = 0;
345:       for (m = 0; m < 3; m++) E[i + 3 * j] += 0.5 * F[3 * m + j] * F[i + 3 * m];
346:     }
347:   }
348:   for (i = 0; i < 3; i++) E[i + 3 * i] -= 0.5;
349: }

351: void SaintVenantKirchoff(PetscReal lambda, PetscReal mu, PetscScalar *F, PetscScalar *S)
352: {
353:   PetscInt    i, j;
354:   PetscScalar E[9];
355:   PetscScalar trE = 0;
356:   LagrangeGreenStrain(F, E);
357:   for (i = 0; i < 3; i++) trE += E[i + 3 * i];
358:   for (i = 0; i < 3; i++) {
359:     for (j = 0; j < 3; j++) {
360:       S[i + 3 * j] = 2. * mu * E[i + 3 * j];
361:       if (i == j) S[i + 3 * j] += trE * lambda;
362:     }
363:   }
364: }

366: void SaintVenantKirchoffJacobian(PetscReal lambda, PetscReal mu, PetscScalar *F, PetscScalar *dF, PetscScalar *dS)
367: {
368:   PetscScalar FtdF[9], dE[9];
369:   PetscInt    i, j;
370:   PetscScalar dtrE = 0.;
371:   TensorTransposeTensor(dF, F, dE);
372:   TensorTransposeTensor(F, dF, FtdF);
373:   for (i = 0; i < 9; i++) dE[i] += FtdF[i];
374:   for (i = 0; i < 9; i++) dE[i] *= 0.5;
375:   for (i = 0; i < 3; i++) dtrE += dE[i + 3 * i];
376:   for (i = 0; i < 3; i++) {
377:     for (j = 0; j < 3; j++) {
378:       dS[i + 3 * j] = 2. * mu * dE[i + 3 * j];
379:       if (i == j) dS[i + 3 * j] += dtrE * lambda;
380:     }
381:   }
382: }

384: PetscErrorCode FormElements(void)
385: {
386:   PetscInt  i, j, k, ii, jj, kk;
387:   PetscReal bx, by, bz, dbx, dby, dbz;

389:   PetscFunctionBeginUser;
390:   /* construct the basis function values and derivatives */
391:   for (k = 0; k < NB; k++) {
392:     for (j = 0; j < NB; j++) {
393:       for (i = 0; i < NB; i++) {
394:         /* loop over the quadrature points */
395:         for (kk = 0; kk < NQ; kk++) {
396:           for (jj = 0; jj < NQ; jj++) {
397:             for (ii = 0; ii < NQ; ii++) {
398:               PetscInt idx = ii + NQ * jj + NQ * NQ * kk + NEQ * i + NEQ * NB * j + NEQ * NB * NB * k;
399:               bx           = pts[ii];
400:               by           = pts[jj];
401:               bz           = pts[kk];
402:               dbx          = 1.;
403:               dby          = 1.;
404:               dbz          = 1.;
405:               if (i == 0) {
406:                 bx  = 1. - bx;
407:                 dbx = -1;
408:               }
409:               if (j == 0) {
410:                 by  = 1. - by;
411:                 dby = -1;
412:               }
413:               if (k == 0) {
414:                 bz  = 1. - bz;
415:                 dbz = -1;
416:               }
417:               vals[idx]         = bx * by * bz;
418:               grad[3 * idx + 0] = dbx * by * bz;
419:               grad[3 * idx + 1] = dby * bx * bz;
420:               grad[3 * idx + 2] = dbz * bx * by;
421:             }
422:           }
423:         }
424:       }
425:     }
426:   }
427:   PetscFunctionReturn(PETSC_SUCCESS);
428: }

430: void GatherElementData(PetscInt mx, PetscInt my, PetscInt mz, Field ***x, CoordField ***c, PetscInt i, PetscInt j, PetscInt k, Field *ex, CoordField *ec, AppCtx *user)
431: {
432:   PetscInt m;
433:   PetscInt ii, jj, kk;
434:   /* gather the data -- loop over element unknowns */
435:   for (kk = 0; kk < NB; kk++) {
436:     for (jj = 0; jj < NB; jj++) {
437:       for (ii = 0; ii < NB; ii++) {
438:         PetscInt idx = ii + jj * NB + kk * NB * NB;
439:         /* decouple the boundary nodes for the displacement variables */
440:         if (OnBoundary(i + ii, j + jj, k + kk, mx, my, mz)) {
441:           BoundaryValue(i + ii, j + jj, k + kk, mx, my, mz, ex[idx], user);
442:         } else {
443:           for (m = 0; m < 3; m++) ex[idx][m] = x[k + kk][j + jj][i + ii][m];
444:         }
445:         for (m = 0; m < 3; m++) ec[idx][m] = c[k + kk][j + jj][i + ii][m];
446:       }
447:     }
448:   }
449: }

451: void QuadraturePointGeometricJacobian(CoordField *ec, PetscInt qi, PetscInt qj, PetscInt qk, PetscScalar *J)
452: {
453:   PetscInt ii, jj, kk;
454:   /* construct the gradient at the given quadrature point named by i,j,k */
455:   for (ii = 0; ii < 9; ii++) J[ii] = 0;
456:   for (kk = 0; kk < NB; kk++) {
457:     for (jj = 0; jj < NB; jj++) {
458:       for (ii = 0; ii < NB; ii++) {
459:         PetscInt idx  = ii + jj * NB + kk * NB * NB;
460:         PetscInt bidx = NEB * idx + qi + NQ * qj + NQ * NQ * qk;
461:         J[0] += grad[3 * bidx + 0] * ec[idx][0];
462:         J[1] += grad[3 * bidx + 1] * ec[idx][0];
463:         J[2] += grad[3 * bidx + 2] * ec[idx][0];
464:         J[3] += grad[3 * bidx + 0] * ec[idx][1];
465:         J[4] += grad[3 * bidx + 1] * ec[idx][1];
466:         J[5] += grad[3 * bidx + 2] * ec[idx][1];
467:         J[6] += grad[3 * bidx + 0] * ec[idx][2];
468:         J[7] += grad[3 * bidx + 1] * ec[idx][2];
469:         J[8] += grad[3 * bidx + 2] * ec[idx][2];
470:       }
471:     }
472:   }
473: }

475: void FormElementJacobian(Field *ex, CoordField *ec, Field *ef, Field *eq, PetscScalar *ej, AppCtx *user)
476: {
477:   PetscReal   vol;
478:   PetscScalar J[9];
479:   PetscScalar invJ[9];
480:   PetscScalar F[9], S[9], dF[9], dS[9], dFS[9], FdS[9], FS[9];
481:   PetscReal   scl;
482:   PetscInt    i, j, k, l, ii, jj, kk, ll, qi, qj, qk, m;

484:   if (ej)
485:     for (i = 0; i < NPB * NPB; i++) ej[i] = 0.;
486:   if (ef)
487:     for (i = 0; i < NEB; i++) {
488:       ef[i][0] = 0.;
489:       ef[i][1] = 0.;
490:       ef[i][2] = 0.;
491:     }
492:   if (eq)
493:     for (i = 0; i < NEB; i++) {
494:       eq[i][0] = 0.;
495:       eq[i][1] = 0.;
496:       eq[i][2] = 0.;
497:     }
498:   /* loop over quadrature */
499:   for (qk = 0; qk < NQ; qk++) {
500:     for (qj = 0; qj < NQ; qj++) {
501:       for (qi = 0; qi < NQ; qi++) {
502:         QuadraturePointGeometricJacobian(ec, qi, qj, qk, J);
503:         InvertTensor(J, invJ, &vol);
504:         scl = vol * wts[qi] * wts[qj] * wts[qk];
505:         DeformationGradient(ex, qi, qj, qk, invJ, F);
506:         SaintVenantKirchoff(user->lambda, user->mu, F, S);
507:         /* form the function */
508:         if (ef) {
509:           TensorTensor(F, S, FS);
510:           for (kk = 0; kk < NB; kk++) {
511:             for (jj = 0; jj < NB; jj++) {
512:               for (ii = 0; ii < NB; ii++) {
513:                 PetscInt    idx  = ii + jj * NB + kk * NB * NB;
514:                 PetscInt    bidx = NEB * idx + qi + NQ * qj + NQ * NQ * qk;
515:                 PetscScalar lgrad[3];
516:                 TensorVector(invJ, &grad[3 * bidx], lgrad);
517:                 /* mu*F : grad phi_{u,v,w} */
518:                 for (m = 0; m < 3; m++) ef[idx][m] += scl * (lgrad[0] * FS[3 * m + 0] + lgrad[1] * FS[3 * m + 1] + lgrad[2] * FS[3 * m + 2]);
519:                 ef[idx][1] -= user->load_factor * scl * user->loading * vals[bidx];
520:               }
521:             }
522:           }
523:         }
524:         if (eq) {
525:           for (kk = 0; kk < NB; kk++) {
526:             for (jj = 0; jj < NB; jj++) {
527:               for (ii = 0; ii < NB; ii++) {
528:                 PetscInt idx  = ii + jj * NB + kk * NB * NB;
529:                 PetscInt bidx = NEB * idx + qi + NQ * qj + NQ * NQ * qk;
530:                 /* external force vector */
531:                 eq[idx][1] += scl * user->loading * vals[bidx];
532:               }
533:             }
534:           }
535:         }
536:         /* form the jacobian */
537:         if (ej) {
538:           /* loop over trialfunctions */
539:           for (k = 0; k < NB; k++) {
540:             for (j = 0; j < NB; j++) {
541:               for (i = 0; i < NB; i++) {
542:                 for (l = 0; l < 3; l++) {
543:                   PetscInt tridx = l + 3 * (i + j * NB + k * NB * NB);
544:                   DeformationGradientJacobian(qi, qj, qk, i, j, k, l, invJ, dF);
545:                   SaintVenantKirchoffJacobian(user->lambda, user->mu, F, dF, dS);
546:                   TensorTensor(dF, S, dFS);
547:                   TensorTensor(F, dS, FdS);
548:                   for (m = 0; m < 9; m++) dFS[m] += FdS[m];
549:                   /* loop over testfunctions */
550:                   for (kk = 0; kk < NB; kk++) {
551:                     for (jj = 0; jj < NB; jj++) {
552:                       for (ii = 0; ii < NB; ii++) {
553:                         PetscInt    idx  = ii + jj * NB + kk * NB * NB;
554:                         PetscInt    bidx = 8 * idx + qi + NQ * qj + NQ * NQ * qk;
555:                         PetscScalar lgrad[3];
556:                         TensorVector(invJ, &grad[3 * bidx], lgrad);
557:                         for (ll = 0; ll < 3; ll++) {
558:                           PetscInt teidx = ll + 3 * (ii + jj * NB + kk * NB * NB);
559:                           ej[teidx + NPB * tridx] += scl * (lgrad[0] * dFS[3 * ll + 0] + lgrad[1] * dFS[3 * ll + 1] + lgrad[2] * dFS[3 * ll + 2]);
560:                         }
561:                       }
562:                     }
563:                   } /* end of testfunctions */
564:                 }
565:               }
566:             }
567:           } /* end of trialfunctions */
568:         }
569:       }
570:     }
571:   } /* end of quadrature points */
572: }

574: void ApplyBCsElement(PetscInt mx, PetscInt my, PetscInt mz, PetscInt i, PetscInt j, PetscInt k, PetscScalar *jacobian)
575: {
576:   PetscInt ii, jj, kk, ll, ei, ej, ek, el;
577:   for (kk = 0; kk < NB; kk++) {
578:     for (jj = 0; jj < NB; jj++) {
579:       for (ii = 0; ii < NB; ii++) {
580:         for (ll = 0; ll < 3; ll++) {
581:           PetscInt tridx = ll + 3 * (ii + jj * NB + kk * NB * NB);
582:           for (ek = 0; ek < NB; ek++) {
583:             for (ej = 0; ej < NB; ej++) {
584:               for (ei = 0; ei < NB; ei++) {
585:                 for (el = 0; el < 3; el++) {
586:                   if (OnBoundary(i + ii, j + jj, k + kk, mx, my, mz) || OnBoundary(i + ei, j + ej, k + ek, mx, my, mz)) {
587:                     PetscInt teidx = el + 3 * (ei + ej * NB + ek * NB * NB);
588:                     if (teidx == tridx) {
589:                       jacobian[tridx + NPB * teidx] = 1.;
590:                     } else {
591:                       jacobian[tridx + NPB * teidx] = 0.;
592:                     }
593:                   }
594:                 }
595:               }
596:             }
597:           }
598:         }
599:       }
600:     }
601:   }
602: }

604: PetscErrorCode FormJacobianLocal(DMDALocalInfo *info, Field ***x, Mat jacpre, Mat jac, void *ptr)
605: {
606:   /* values for each basis function at each quadrature point */
607:   AppCtx     *user = (AppCtx *)ptr;
608:   PetscInt    i, j, k, m, l;
609:   PetscInt    ii, jj, kk;
610:   PetscScalar ej[NPB * NPB];
611:   PetscScalar vals[NPB * NPB];
612:   Field       ex[NEB];
613:   CoordField  ec[NEB];

615:   PetscInt      xs = info->xs, ys = info->ys, zs = info->zs;
616:   PetscInt      xm = info->xm, ym = info->ym, zm = info->zm;
617:   PetscInt      xes, yes, zes, xee, yee, zee;
618:   PetscInt      mx = info->mx, my = info->my, mz = info->mz;
619:   DM            cda;
620:   CoordField ***c;
621:   Vec           C;
622:   PetscInt      nrows;
623:   MatStencil    col[NPB], row[NPB];
624:   PetscScalar   v[9];

626:   PetscFunctionBeginUser;
627:   PetscCall(DMGetCoordinateDM(info->da, &cda));
628:   PetscCall(DMGetCoordinatesLocal(info->da, &C));
629:   PetscCall(DMDAVecGetArray(cda, C, &c));
630:   PetscCall(MatScale(jac, 0.0));

632:   xes = xs;
633:   yes = ys;
634:   zes = zs;
635:   xee = xs + xm;
636:   yee = ys + ym;
637:   zee = zs + zm;
638:   if (xs > 0) xes = xs - 1;
639:   if (ys > 0) yes = ys - 1;
640:   if (zs > 0) zes = zs - 1;
641:   if (xs + xm == mx) xee = xs + xm - 1;
642:   if (ys + ym == my) yee = ys + ym - 1;
643:   if (zs + zm == mz) zee = zs + zm - 1;
644:   for (k = zes; k < zee; k++) {
645:     for (j = yes; j < yee; j++) {
646:       for (i = xes; i < xee; i++) {
647:         GatherElementData(mx, my, mz, x, c, i, j, k, ex, ec, user);
648:         FormElementJacobian(ex, ec, NULL, NULL, ej, user);
649:         ApplyBCsElement(mx, my, mz, i, j, k, ej);
650:         nrows = 0.;
651:         for (kk = 0; kk < NB; kk++) {
652:           for (jj = 0; jj < NB; jj++) {
653:             for (ii = 0; ii < NB; ii++) {
654:               PetscInt idx = ii + jj * 2 + kk * 4;
655:               for (m = 0; m < 3; m++) {
656:                 col[3 * idx + m].i = i + ii;
657:                 col[3 * idx + m].j = j + jj;
658:                 col[3 * idx + m].k = k + kk;
659:                 col[3 * idx + m].c = m;
660:                 if (i + ii >= xs && i + ii < xm + xs && j + jj >= ys && j + jj < ys + ym && k + kk >= zs && k + kk < zs + zm) {
661:                   row[nrows].i = i + ii;
662:                   row[nrows].j = j + jj;
663:                   row[nrows].k = k + kk;
664:                   row[nrows].c = m;
665:                   for (l = 0; l < NPB; l++) vals[NPB * nrows + l] = ej[NPB * (3 * idx + m) + l];
666:                   nrows++;
667:                 }
668:               }
669:             }
670:           }
671:         }
672:         PetscCall(MatSetValuesStencil(jac, nrows, row, NPB, col, vals, ADD_VALUES));
673:       }
674:     }
675:   }

677:   PetscCall(MatAssemblyBegin(jac, MAT_FLUSH_ASSEMBLY));
678:   PetscCall(MatAssemblyEnd(jac, MAT_FLUSH_ASSEMBLY));

680:   /* set the diagonal */
681:   v[0] = 1.;
682:   v[1] = 0.;
683:   v[2] = 0.;
684:   v[3] = 0.;
685:   v[4] = 1.;
686:   v[5] = 0.;
687:   v[6] = 0.;
688:   v[7] = 0.;
689:   v[8] = 1.;
690:   for (k = zs; k < zs + zm; k++) {
691:     for (j = ys; j < ys + ym; j++) {
692:       for (i = xs; i < xs + xm; i++) {
693:         if (OnBoundary(i, j, k, mx, my, mz)) {
694:           for (m = 0; m < 3; m++) {
695:             col[m].i = i;
696:             col[m].j = j;
697:             col[m].k = k;
698:             col[m].c = m;
699:           }
700:           PetscCall(MatSetValuesStencil(jac, 3, col, 3, col, v, INSERT_VALUES));
701:         }
702:       }
703:     }
704:   }

706:   PetscCall(MatAssemblyBegin(jac, MAT_FINAL_ASSEMBLY));
707:   PetscCall(MatAssemblyEnd(jac, MAT_FINAL_ASSEMBLY));

709:   PetscCall(DMDAVecRestoreArray(cda, C, &c));
710:   PetscFunctionReturn(PETSC_SUCCESS);
711: }

713: PetscErrorCode FormFunctionLocal(DMDALocalInfo *info, Field ***x, Field ***f, void *ptr)
714: {
715:   /* values for each basis function at each quadrature point */
716:   AppCtx  *user = (AppCtx *)ptr;
717:   PetscInt i, j, k, l;
718:   PetscInt ii, jj, kk;

720:   Field      ef[NEB];
721:   Field      ex[NEB];
722:   CoordField ec[NEB];

724:   PetscInt      xs = info->xs, ys = info->ys, zs = info->zs;
725:   PetscInt      xm = info->xm, ym = info->ym, zm = info->zm;
726:   PetscInt      xes, yes, zes, xee, yee, zee;
727:   PetscInt      mx = info->mx, my = info->my, mz = info->mz;
728:   DM            cda;
729:   CoordField ***c;
730:   Vec           C;

732:   PetscFunctionBeginUser;
733:   PetscCall(DMGetCoordinateDM(info->da, &cda));
734:   PetscCall(DMGetCoordinatesLocal(info->da, &C));
735:   PetscCall(DMDAVecGetArray(cda, C, &c));
736:   PetscCall(DMDAGetInfo(info->da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
737:   PetscCall(DMDAGetCorners(info->da, &xs, &ys, &zs, &xm, &ym, &zm));

739:   /* loop over elements */
740:   for (k = zs; k < zs + zm; k++) {
741:     for (j = ys; j < ys + ym; j++) {
742:       for (i = xs; i < xs + xm; i++) {
743:         for (l = 0; l < 3; l++) f[k][j][i][l] = 0.;
744:       }
745:     }
746:   }
747:   /* element starts and ends */
748:   xes = xs;
749:   yes = ys;
750:   zes = zs;
751:   xee = xs + xm;
752:   yee = ys + ym;
753:   zee = zs + zm;
754:   if (xs > 0) xes = xs - 1;
755:   if (ys > 0) yes = ys - 1;
756:   if (zs > 0) zes = zs - 1;
757:   if (xs + xm == mx) xee = xs + xm - 1;
758:   if (ys + ym == my) yee = ys + ym - 1;
759:   if (zs + zm == mz) zee = zs + zm - 1;
760:   for (k = zes; k < zee; k++) {
761:     for (j = yes; j < yee; j++) {
762:       for (i = xes; i < xee; i++) {
763:         GatherElementData(mx, my, mz, x, c, i, j, k, ex, ec, user);
764:         FormElementJacobian(ex, ec, ef, NULL, NULL, user);
765:         /* put this element's additions into the residuals */
766:         for (kk = 0; kk < NB; kk++) {
767:           for (jj = 0; jj < NB; jj++) {
768:             for (ii = 0; ii < NB; ii++) {
769:               PetscInt idx = ii + jj * NB + kk * NB * NB;
770:               if (k + kk >= zs && j + jj >= ys && i + ii >= xs && k + kk < zs + zm && j + jj < ys + ym && i + ii < xs + xm) {
771:                 if (OnBoundary(i + ii, j + jj, k + kk, mx, my, mz)) {
772:                   for (l = 0; l < 3; l++) f[k + kk][j + jj][i + ii][l] = x[k + kk][j + jj][i + ii][l] - ex[idx][l];
773:                 } else {
774:                   for (l = 0; l < 3; l++) f[k + kk][j + jj][i + ii][l] += ef[idx][l];
775:                 }
776:               }
777:             }
778:           }
779:         }
780:       }
781:     }
782:   }
783:   PetscCall(DMDAVecRestoreArray(cda, C, &c));
784:   PetscFunctionReturn(PETSC_SUCCESS);
785: }

787: PetscErrorCode TangentLoad(SNES snes, Vec X, Vec Q, void *ptr)
788: {
789:   /* values for each basis function at each quadrature point */
790:   AppCtx  *user = (AppCtx *)ptr;
791:   PetscInt xs, ys, zs;
792:   PetscInt xm, ym, zm;
793:   PetscInt mx, my, mz;
794:   DM       da;
795:   Vec      Xl, Ql;
796:   Field ***x, ***q;
797:   PetscInt i, j, k, l;
798:   PetscInt ii, jj, kk;

800:   Field      eq[NEB];
801:   Field      ex[NEB];
802:   CoordField ec[NEB];

804:   PetscInt      xes, yes, zes, xee, yee, zee;
805:   DM            cda;
806:   CoordField ***c;
807:   Vec           C;

809:   PetscFunctionBeginUser;
810:   /* update user context with current load parameter */
811:   PetscCall(SNESNewtonALGetLoadParameter(snes, &user->load_factor));

813:   PetscCall(SNESGetDM(snes, &da));
814:   PetscCall(DMGetLocalVector(da, &Xl));
815:   PetscCall(DMGetLocalVector(da, &Ql));
816:   PetscCall(DMGlobalToLocal(da, X, INSERT_VALUES, Xl));

818:   PetscCall(DMDAVecGetArray(da, Xl, &x));
819:   PetscCall(DMDAVecGetArray(da, Ql, &q));

821:   PetscCall(DMGetCoordinateDM(da, &cda));
822:   PetscCall(DMGetCoordinatesLocal(da, &C));
823:   PetscCall(DMDAVecGetArray(cda, C, &c));
824:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
825:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));

827:   /* loop over elements */
828:   for (k = zs; k < zs + zm; k++) {
829:     for (j = ys; j < ys + ym; j++) {
830:       for (i = xs; i < xs + xm; i++) {
831:         for (l = 0; l < 3; l++) q[k][j][i][l] = 0.;
832:       }
833:     }
834:   }
835:   /* element starts and ends */
836:   xes = xs;
837:   yes = ys;
838:   zes = zs;
839:   xee = xs + xm;
840:   yee = ys + ym;
841:   zee = zs + zm;
842:   if (xs > 0) xes = xs - 1;
843:   if (ys > 0) yes = ys - 1;
844:   if (zs > 0) zes = zs - 1;
845:   if (xs + xm == mx) xee = xs + xm - 1;
846:   if (ys + ym == my) yee = ys + ym - 1;
847:   if (zs + zm == mz) zee = zs + zm - 1;
848:   for (k = zes; k < zee; k++) {
849:     for (j = yes; j < yee; j++) {
850:       for (i = xes; i < xee; i++) {
851:         GatherElementData(mx, my, mz, x, c, i, j, k, ex, ec, user);
852:         FormElementJacobian(ex, ec, NULL, eq, NULL, user);
853:         /* put this element's additions into the residuals */
854:         for (kk = 0; kk < NB; kk++) {
855:           for (jj = 0; jj < NB; jj++) {
856:             for (ii = 0; ii < NB; ii++) {
857:               PetscInt idx = ii + jj * NB + kk * NB * NB;
858:               if (k + kk >= zs && j + jj >= ys && i + ii >= xs && k + kk < zs + zm && j + jj < ys + ym && i + ii < xs + xm) {
859:                 if (!OnBoundary(i + ii, j + jj, k + kk, mx, my, mz)) {
860:                   for (l = 0; l < 3; l++) q[k + kk][j + jj][i + ii][l] += eq[idx][l];
861:                 }
862:               }
863:             }
864:           }
865:         }
866:       }
867:     }
868:   }
869:   PetscCall(DMDAVecRestoreArray(da, Xl, &x));
870:   PetscCall(DMDAVecRestoreArray(da, Ql, &q));
871:   PetscCall(VecZeroEntries(Q));
872:   PetscCall(DMLocalToGlobal(da, Ql, INSERT_VALUES, Q));
873:   PetscCall(DMRestoreLocalVector(da, &Ql));
874:   PetscCall(DMRestoreLocalVector(da, &Xl));
875:   PetscCall(DMDAVecRestoreArray(cda, C, &c));
876:   PetscFunctionReturn(PETSC_SUCCESS);
877: }

879: PetscErrorCode FormCoordinates(DM da, AppCtx *user)
880: {
881:   Vec           coords;
882:   DM            cda;
883:   PetscInt      mx, my, mz;
884:   PetscInt      i, j, k, xs, ys, zs, xm, ym, zm;
885:   CoordField ***x;

887:   PetscFunctionBeginUser;
888:   PetscCall(DMGetCoordinateDM(da, &cda));
889:   PetscCall(DMCreateGlobalVector(cda, &coords));
890:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
891:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
892:   PetscCall(DMDAVecGetArray(da, coords, &x));
893:   for (k = zs; k < zs + zm; k++) {
894:     for (j = ys; j < ys + ym; j++) {
895:       for (i = xs; i < xs + xm; i++) {
896:         PetscReal cx  = ((PetscReal)i) / ((PetscReal)(mx - 1));
897:         PetscReal cy  = ((PetscReal)j) / ((PetscReal)(my - 1));
898:         PetscReal cz  = ((PetscReal)k) / ((PetscReal)(mz - 1));
899:         PetscReal rad = user->rad + cy * user->height;
900:         PetscReal ang = (cx - 0.5) * user->arc;
901:         x[k][j][i][0] = rad * PetscSinReal(ang);
902:         x[k][j][i][1] = rad * PetscCosReal(ang) - (user->rad + 0.5 * user->height) * PetscCosReal(-0.5 * user->arc);
903:         x[k][j][i][2] = user->width * (cz - 0.5);
904:       }
905:     }
906:   }
907:   PetscCall(DMDAVecRestoreArray(da, coords, &x));
908:   PetscCall(DMSetCoordinates(da, coords));
909:   PetscCall(VecDestroy(&coords));
910:   PetscFunctionReturn(PETSC_SUCCESS);
911: }

913: PetscErrorCode InitialGuess(DM da, AppCtx *user, Vec X)
914: {
915:   PetscInt i, j, k, xs, ys, zs, xm, ym, zm;
916:   PetscInt mx, my, mz;
917:   Field ***x;

919:   PetscFunctionBeginUser;
920:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
921:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
922:   PetscCall(DMDAVecGetArray(da, X, &x));

924:   for (k = zs; k < zs + zm; k++) {
925:     for (j = ys; j < ys + ym; j++) {
926:       for (i = xs; i < xs + xm; i++) {
927:         /* reference coordinates */
928:         PetscReal p_x = ((PetscReal)i) / ((PetscReal)(mx - 1));
929:         PetscReal p_y = ((PetscReal)j) / ((PetscReal)(my - 1));
930:         PetscReal p_z = ((PetscReal)k) / ((PetscReal)(mz - 1));
931:         PetscReal o_x = p_x;
932:         PetscReal o_y = p_y;
933:         PetscReal o_z = p_z;
934:         x[k][j][i][0] = o_x - p_x;
935:         x[k][j][i][1] = o_y - p_y;
936:         x[k][j][i][2] = o_z - p_z;
937:       }
938:     }
939:   }
940:   PetscCall(DMDAVecRestoreArray(da, X, &x));
941:   PetscFunctionReturn(PETSC_SUCCESS);
942: }

944: PetscErrorCode ArcLengthScaling(DM da, AppCtx *user, Vec V)
945: {
946:   PetscInt  i, j, k, xs, ys, zs, xm, ym, zm;
947:   PetscInt  mx, my, mz;
948:   Field  ***v;
949:   PetscReal rad = user->rad + user->height;

951:   PetscFunctionBeginUser;
952:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
953:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
954:   PetscCall(DMDAVecGetArray(da, V, &v));

956:   for (k = zs; k < zs + zm; k++) {
957:     for (j = ys; j < ys + ym; j++) {
958:       for (i = xs; i < xs + xm; i++) {
959:         v[k][j][i][0] = 2. / rad;
960:         v[k][j][i][1] = 2. / rad;
961:         v[k][j][i][2] = 2. / user->width;
962:       }
963:     }
964:   }
965:   PetscCall(DMDAVecRestoreArray(da, V, &v));
966:   PetscFunctionReturn(PETSC_SUCCESS);
967: }

969: PetscErrorCode FormRHS(DM da, AppCtx *user, Vec X)
970: {
971:   PetscInt i, j, k, xs, ys, zs, xm, ym, zm;
972:   PetscInt mx, my, mz;
973:   Field ***x;

975:   PetscFunctionBeginUser;
976:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
977:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
978:   PetscCall(DMDAVecGetArray(da, X, &x));

980:   for (k = zs; k < zs + zm; k++) {
981:     for (j = ys; j < ys + ym; j++) {
982:       for (i = xs; i < xs + xm; i++) {
983:         x[k][j][i][0] = 0.;
984:         x[k][j][i][1] = 0.;
985:         x[k][j][i][2] = 0.;
986:         if (i == (mx - 1) / 2 && j == (my - 1)) x[k][j][i][1] = user->ploading / (mz - 1);
987:       }
988:     }
989:   }
990:   PetscCall(DMDAVecRestoreArray(da, X, &x));
991:   PetscFunctionReturn(PETSC_SUCCESS);
992: }

994: PetscErrorCode DisplayLine(SNES snes, Vec X)
995: {
996:   PetscInt      r, i, j = 0, k = 0, xs, xm, ys, ym, zs, zm, mx, my, mz;
997:   Field      ***x;
998:   CoordField ***c;
999:   DM            da, cda;
1000:   Vec           C;
1001:   PetscMPIInt   size, rank;

1003:   PetscFunctionBegin;
1004:   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
1005:   PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
1006:   PetscCall(SNESGetDM(snes, &da));
1007:   PetscCall(DMDAGetInfo(da, 0, &mx, &my, &mz, 0, 0, 0, 0, 0, 0, 0, 0, 0));
1008:   PetscCall(DMGetCoordinateDM(da, &cda));
1009:   PetscCall(DMGetCoordinates(da, &C));
1010:   j = my / 2;
1011:   k = mz / 2;
1012:   PetscCall(DMDAGetCorners(da, &xs, &ys, &zs, &xm, &ym, &zm));
1013:   PetscCall(DMDAVecGetArray(da, X, &x));
1014:   PetscCall(DMDAVecGetArray(cda, C, &c));
1015:   for (r = 0; r < size; r++) {
1016:     if (rank == r) {
1017:       if (j >= ys && j < ys + ym && k >= zs && k < zs + zm) {
1018:         for (i = xs; i < xs + xm; i++) {
1019:           PetscCall(PetscPrintf(PETSC_COMM_SELF, "%" PetscInt_FMT " %d %d: %f %f %f\n", i, 0, 0, (double)PetscRealPart(c[k][j][i][0] + x[k][j][i][0]), (double)PetscRealPart(c[k][j][i][1] + x[k][j][i][1]), (double)PetscRealPart(c[k][j][i][2] + x[k][j][i][2])));
1020:         }
1021:       }
1022:     }
1023:     PetscCallMPI(MPI_Barrier(PETSC_COMM_WORLD));
1024:   }
1025:   PetscCall(DMDAVecRestoreArray(da, X, &x));
1026:   PetscCall(DMDAVecRestoreArray(cda, C, &c));
1027:   PetscFunctionReturn(PETSC_SUCCESS);
1028: }

1030: /*TEST

1032:    test:
1033:       nsize: 2
1034:       args: -da_refine 2 -pc_type mg -rad 10.0 -young 10. -ploading 0.0 -loading -1. -mg_levels_ksp_max_it 2 -snes_monitor_short -ksp_monitor_short
1035:       requires: !single
1036:       timeoutfactor: 3

1038:    test:
1039:       suffix: 2
1040:       args: -da_refine 2 -pc_type mg -rad 10.0 -young 10. -ploading 0.0 -loading -1. -mg_levels_ksp_max_it 2 -snes_monitor_short -ksp_monitor_short -npc_snes_type fas -npc_fas_levels_snes_type ncg -npc_fas_levels_snes_max_it 3 -npc_snes_monitor_short -npc_fas_levels_snes_linesearch_maxlambda 2.0
1041:       requires: !single

1043:    test:
1044:       suffix: 3
1045:       args: -da_refine 1 -da_overlap 3 -da_local_subdomains 4 -snes_type aspin -rad 10.0 -young 10. -ploading 0.0 -loading -0.5 -snes_monitor_short -ksp_monitor_short -npc_sub_snes_rtol 1e-2 -ksp_rtol 1e-2 -ksp_max_it 14 -snes_converged_reason -snes_max_linear_solve_fail 100 -npc_sub_ksp_type preonly -npc_sub_pc_type lu
1046:       requires: !single

1048:    test:
1049:       suffix: 4
1050:       args: -da_refine 2 -pc_type mg -rad 10.0 -young 10. -ploading -1. -loading -1. -mg_levels_ksp_max_it 2 -snes_monitor_short -ksp_monitor_short -snes_type newtonal -snes_newtonal_step_size 30 -ksp_rtol 1e-4 -info
1051:       requires: !single defined(PETSC_USE_INFO)
1052:       filter: grep -h -e "KSP Residual norm" -e "SNES Function norm" -e "Number of SNES iterations" -e "mu:"

1054:    test:
1055:       suffix: 5
1056:       args: -da_refine 2 -pc_type mg -rad 10.0 -young 10. -ploading -1. -loading -1. -mg_levels_ksp_max_it 2 -snes_monitor_short -ksp_monitor_short -snes_type newtonal -snes_newtonal_step_size 30 -snes_newtonal_correction_type normal -ksp_rtol 1e-4
1057:       requires: !single

1059:    test:
1060:       suffix: 6
1061:       args: -da_refine 2 -pc_type mg -rad 10.0 -young 10. -ploading -0.5 -loading -1 -mg_levels_ksp_max_it 2 -snes_monitor_short -ksp_monitor_short -snes_type newtonal -snes_newtonal_step_size 0.5 -snes_newtonal_max_continuation_steps 3 -snes_newtonal_scale_rhs false -snes_newtonal_lambda_min -0.1 -ksp_rtol 1e-4
1062:       requires: !single

1064:    test:
1065:       nsize: {{1 2}}
1066:       suffix: 7
1067:       args: -dm_vec_type kokkos -dm_mat_type aijkokkos -da_refine 1 -rad 10.0 -young 10. -ploading -1. -loading -1. -rescale -pc_type mg -mg_levels_ksp_max_it 2 -snes_monitor_short -snes_type newtonal -snes_newtonal_step_size 10 -snes_newtonal_correction_type exact -ksp_rtol 1e-4
1068:       requires: kokkos_kernels !complex !single
1069:       timeoutfactor: 3

1071:    test:
1072:       nsize: {{1 2}}
1073:       suffix: 8
1074:       args: -dm_vec_type cuda -dm_mat_type aijcusparse -da_refine 1 -rad 10.0 -young 10. -ploading -1. -loading -1. -rescale -pc_type mg -mg_levels_ksp_max_it 2 -snes_monitor_short -snes_type newtonal -snes_newtonal_step_size 10 -snes_newtonal_correction_type exact -ksp_rtol 1e-4
1075:       requires: cuda !complex !single
1076:       timeoutfactor: 3

1078:    test:
1079:       nsize: {{1 2}}
1080:       suffix: 9
1081:       args: -da_refine 2 -rad 10.0 -young 10. -ploading -1. -loading -1. -rescale -pc_type mg -mg_levels_ksp_max_it 2 -snes_monitor_short -snes_type newtonal -snes_newtonal_step_size 10 -snes_newtonal_correction_type normal -ksp_rtol 1e-4
1082:       requires: !single

1084: TEST*/