Date: 2021-03-03T22:27:57+00:00

Actual source code: ex26.c
petsc-3.14.5 2021-03-03
Report Typos and Errors

      2: static char help[] = "Transient nonlinear driven cavity in 2d.\n\
      3:   \n\
      4: The 2D driven cavity problem is solved in a velocity-vorticity formulation.\n\
      5: The flow can be driven with the lid or with bouyancy or both:\n\
      6:   -lidvelocity <lid>, where <lid> = dimensionless velocity of lid\n\
      7:   -grashof <gr>, where <gr> = dimensionless temperature gradent\n\
      8:   -prandtl <pr>, where <pr> = dimensionless thermal/momentum diffusity ratio\n\
      9:   -contours : draw contour plots of solution\n\n";
     10: /*
     11:       See src/snes/tutorials/ex19.c for the steady-state version.

     13:       There used to be a SNES example (src/snes/tutorials/ex27.c) that
     14:       implemented this algorithm without using TS and was used for the numerical
     15:       results in the paper

     17:         Todd S. Coffey and C. T. Kelley and David E. Keyes, Pseudotransient
     18:         Continuation and Differential-Algebraic Equations, 2003.

     20:       That example was removed because it used obsolete interfaces, but the
     21:       algorithms from the paper can be reproduced using this example.

     23:       Note: The paper describes the algorithm as being linearly implicit but the
     24:       numerical results were created using nonlinearly implicit Euler.  The
     25:       algorithm as described (linearly implicit) is more efficient and is the
     26:       default when using TSPSEUDO.  If you want to reproduce the numerical
     27:       results from the paper, you'll have to change the SNES to converge the
     28:       nonlinear solve (e.g., -snes_type newtonls).  The DAE versus ODE variants
     29:       are controlled using the -parabolic option.

     31:       Comment preserved from snes/tutorials/ex27.c, since removed:

     33:         [H]owever Figure 3.1 was generated with a slightly different algorithm
     34:         (see targets runex27 and runex27_p) than described in the paper.  In
     35:         particular, the described algorithm is linearly implicit, advancing to
     36:         the next step after one Newton step, so that the steady state residual
     37:         is always used, but the figure was generated by converging each step to
     38:         a relative tolerance of 1.e-3.  On the example problem, setting
     39:         -snes_type ksponly has only minor impact on number of steps, but
     40:         significantly reduces the required number of linear solves.

     42:       See also https://lists.mcs.anl.gov/pipermail/petsc-dev/2010-March/002362.html
     43: */

     45: /*T
     46:    Concepts: TS^solving a system of nonlinear equations (parallel multicomponent example);
     47:    Concepts: DMDA^using distributed arrays;
     48:    Concepts: TS^multicomponent
     49:    Concepts: TS^differential-algebraic equation
     50:    Processors: n
     51: T*/
     52: /* ------------------------------------------------------------------------

     54:     We thank David E. Keyes for contributing the driven cavity discretization
     55:     within this example code.

     57:     This problem is modeled by the partial differential equation system

     59:         - Lap(U) - Grad_y(Omega) = 0
     60:         - Lap(V) + Grad_x(Omega) = 0
     61:         Omega_t - Lap(Omega) + Div([U*Omega,V*Omega]) - GR*Grad_x(T) = 0
     62:         T_t - Lap(T) + PR*Div([U*T,V*T]) = 0

     64:     in the unit square, which is uniformly discretized in each of x and
     65:     y in this simple encoding.

     67:     No-slip, rigid-wall Dirichlet conditions are used for [U,V].
     68:     Dirichlet conditions are used for Omega, based on the definition of
     69:     vorticity: Omega = - Grad_y(U) + Grad_x(V), where along each
     70:     constant coordinate boundary, the tangential derivative is zero.
     71:     Dirichlet conditions are used for T on the left and right walls,
     72:     and insulation homogeneous Neumann conditions are used for T on
     73:     the top and bottom walls.

     75:     A finite difference approximation with the usual 5-point stencil
     76:     is used to discretize the boundary value problem to obtain a
     77:     nonlinear system of equations.  Upwinding is used for the divergence
     78:     (convective) terms and central for the gradient (source) terms.

     80:     The Jacobian can be either
     81:       * formed via finite differencing using coloring (the default), or
     82:       * applied matrix-free via the option -snes_mf
     83:         (for larger grid problems this variant may not converge
     84:         without a preconditioner due to ill-conditioning).

     86:   ------------------------------------------------------------------------- */

     88: /*
     89:    Include "petscdmda.h" so that we can use distributed arrays (DMDAs).
     90:    Include "petscts.h" so that we can use TS solvers.  Note that this
     91:    file automatically includes:
     92:      petscsys.h       - base PETSc routines   petscvec.h - vectors
     93:      petscmat.h - matrices
     94:      petscis.h     - index sets            petscksp.h - Krylov subspace methods
     95:      petscviewer.h - viewers               petscpc.h  - preconditioners
     96:      petscksp.h   - linear solvers         petscsnes.h - nonlinear solvers
     97: */
     98: #include <petscts.h>
     99: #include <petscdm.h>
    100: #include <petscdmda.h>

    102: /*
    103:    User-defined routines and data structures
    104: */
    105: typedef struct {
    106:   PetscScalar u,v,omega,temp;
    107: } Field;

    109: PetscErrorCode FormIFunctionLocal(DMDALocalInfo*,PetscReal,Field**,Field**,Field**,void*);

    111: typedef struct {
    112:   PetscReal   lidvelocity,prandtl,grashof;   /* physical parameters */
    113:   PetscBool   parabolic;                     /* allow a transient term corresponding roughly to artificial compressibility */
    114:   PetscReal   cfl_initial;                   /* CFL for first time step */
    115: } AppCtx;

    117: PetscErrorCode FormInitialSolution(TS,Vec,AppCtx*);

    119: int main(int argc,char **argv)
    120: {
    121:   AppCtx            user;             /* user-defined work context */
    122:   PetscInt          mx,my,steps;
    123:   PetscErrorCode    ierr;
    124:   TS                ts;
    125:   DM                da;
    126:   Vec               X;
    127:   PetscReal         ftime;
    128:   TSConvergedReason reason;

    130:   PetscInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
    131:   TSCreate(PETSC_COMM_WORLD,&ts);
    132:   DMDACreate2d(PETSC_COMM_WORLD,DM_BOUNDARY_NONE,DM_BOUNDARY_NONE,DMDA_STENCIL_STAR,4,4,PETSC_DECIDE,PETSC_DECIDE,4,1,0,0,&da);
    133:   DMSetFromOptions(da);
    134:   DMSetUp(da);
    135:   TSSetDM(ts,(DM)da);

    137:   DMDAGetInfo(da,0,&mx,&my,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,
    138:                      PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE,PETSC_IGNORE);
    139:   /*
    140:      Problem parameters (velocity of lid, prandtl, and grashof numbers)
    141:   */
    142:   user.lidvelocity = 1.0/(mx*my);
    143:   user.prandtl     = 1.0;
    144:   user.grashof     = 1.0;
    145:   user.parabolic   = PETSC_FALSE;
    146:   user.cfl_initial = 50.;

    148:   PetscOptionsBegin(PETSC_COMM_WORLD,NULL,"Driven cavity/natural convection options","");
    149:   PetscOptionsReal("-lidvelocity","Lid velocity, related to Reynolds number","",user.lidvelocity,&user.lidvelocity,NULL);
    150:   PetscOptionsReal("-prandtl","Ratio of viscous to thermal diffusivity","",user.prandtl,&user.prandtl,NULL);
    151:   PetscOptionsReal("-grashof","Ratio of bouyant to viscous forces","",user.grashof,&user.grashof,NULL);
    152:   PetscOptionsBool("-parabolic","Relax incompressibility to make the system parabolic instead of differential-algebraic","",user.parabolic,&user.parabolic,NULL);
    153:   PetscOptionsReal("-cfl_initial","Advective CFL for the first time step","",user.cfl_initial,&user.cfl_initial,NULL);
    154:   PetscOptionsEnd();

    156:   DMDASetFieldName(da,0,"x-velocity");
    157:   DMDASetFieldName(da,1,"y-velocity");
    158:   DMDASetFieldName(da,2,"Omega");
    159:   DMDASetFieldName(da,3,"temperature");

    161:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    162:      Create user context, set problem data, create vector data structures.
    163:      Also, compute the initial guess.
    164:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    166:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    167:      Create time integration context
    168:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    169:   DMSetApplicationContext(da,&user);
    170:   DMDATSSetIFunctionLocal(da,INSERT_VALUES,(DMDATSIFunctionLocal)FormIFunctionLocal,&user);
    171:   TSSetMaxSteps(ts,10000);
    172:   TSSetMaxTime(ts,1e12);
    173:   TSSetExactFinalTime(ts,TS_EXACTFINALTIME_STEPOVER);
    174:   TSSetTimeStep(ts,user.cfl_initial/(user.lidvelocity*mx));
    175:   TSSetFromOptions(ts);

    177:   PetscPrintf(PETSC_COMM_WORLD,"%Dx%D grid, lid velocity = %g, prandtl # = %g, grashof # = %g\n",mx,my,(double)user.lidvelocity,(double)user.prandtl,(double)user.grashof);

    180:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    181:      Solve the nonlinear system
    182:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */

    184:   DMCreateGlobalVector(da,&X);
    185:   FormInitialSolution(ts,X,&user);

    187:   TSSolve(ts,X);
    188:   TSGetSolveTime(ts,&ftime);
    189:   TSGetStepNumber(ts,&steps);
    190:   TSGetConvergedReason(ts,&reason);

    192:   PetscPrintf(PETSC_COMM_WORLD,"%s at time %g after %D steps\n",TSConvergedReasons[reason],(double)ftime,steps);

    194:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    195:      Free work space.  All PETSc objects should be destroyed when they
    196:      are no longer needed.
    197:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
    198:   VecDestroy(&X);
    199:   DMDestroy(&da);
    200:   TSDestroy(&ts);

    202:   PetscFinalize();
    203:   return ierr;
    204: }

    206: /* ------------------------------------------------------------------- */

    209: /*
    210:    FormInitialSolution - Forms initial approximation.

    212:    Input Parameters:
    213:    user - user-defined application context
    214:    X - vector

    216:    Output Parameter:
    217:    X - vector
    218:  */
    219: PetscErrorCode FormInitialSolution(TS ts,Vec X,AppCtx *user)
    220: {
    221:   DM             da;
    222:   PetscInt       i,j,mx,xs,ys,xm,ym;
    224:   PetscReal      grashof,dx;
    225:   Field          **x;

    227:   grashof = user->grashof;
    228:   TSGetDM(ts,&da);
    229:   DMDAGetInfo(da,0,&mx,0,0,0,0,0,0,0,0,0,0,0);
    230:   dx      = 1.0/(mx-1);

    232:   /*
    233:      Get local grid boundaries (for 2-dimensional DMDA):
    234:        xs, ys   - starting grid indices (no ghost points)
    235:        xm, ym   - widths of local grid (no ghost points)
    236:   */
    237:   DMDAGetCorners(da,&xs,&ys,NULL,&xm,&ym,NULL);

    239:   /*
    240:      Get a pointer to vector data.
    241:        - For default PETSc vectors, VecGetArray() returns a pointer to
    242:          the data array.  Otherwise, the routine is implementation dependent.
    243:        - You MUST call VecRestoreArray() when you no longer need access to
    244:          the array.
    245:   */
    246:   DMDAVecGetArray(da,X,&x);

    248:   /*
    249:      Compute initial guess over the locally owned part of the grid
    250:      Initial condition is motionless fluid and equilibrium temperature
    251:   */
    252:   for (j=ys; j<ys+ym; j++) {
    253:     for (i=xs; i<xs+xm; i++) {
    254:       x[j][i].u     = 0.0;
    255:       x[j][i].v     = 0.0;
    256:       x[j][i].omega = 0.0;
    257:       x[j][i].temp  = (grashof>0)*i*dx;
    258:     }
    259:   }

    261:   /*
    262:      Restore vector
    263:   */
    264:   DMDAVecRestoreArray(da,X,&x);
    265:   return 0;
    266: }

    268: PetscErrorCode FormIFunctionLocal(DMDALocalInfo *info,PetscReal ptime,Field **x,Field **xdot,Field **f,void *ptr)
    269: {
    270:   AppCtx         *user = (AppCtx*)ptr;
    272:   PetscInt       xints,xinte,yints,yinte,i,j;
    273:   PetscReal      hx,hy,dhx,dhy,hxdhy,hydhx;
    274:   PetscReal      grashof,prandtl,lid;
    275:   PetscScalar    u,udot,uxx,uyy,vx,vy,avx,avy,vxp,vxm,vyp,vym;

    278:   grashof = user->grashof;
    279:   prandtl = user->prandtl;
    280:   lid     = user->lidvelocity;

    282:   /*
    283:      Define mesh intervals ratios for uniform grid.

    285:      Note: FD formulae below are normalized by multiplying through by
    286:      local volume element (i.e. hx*hy) to obtain coefficients O(1) in two dimensions.

    289:   */
    290:   dhx   = (PetscReal)(info->mx-1);  dhy = (PetscReal)(info->my-1);
    291:   hx    = 1.0/dhx;                   hy = 1.0/dhy;
    292:   hxdhy = hx*dhy;                 hydhx = hy*dhx;

    294:   xints = info->xs; xinte = info->xs+info->xm; yints = info->ys; yinte = info->ys+info->ym;

    296:   /* Test whether we are on the bottom edge of the global array */
    297:   if (yints == 0) {
    298:     j     = 0;
    299:     yints = yints + 1;
    300:     /* bottom edge */
    301:     for (i=info->xs; i<info->xs+info->xm; i++) {
    302:       f[j][i].u     = x[j][i].u;
    303:       f[j][i].v     = x[j][i].v;
    304:       f[j][i].omega = x[j][i].omega + (x[j+1][i].u - x[j][i].u)*dhy;
    305:       f[j][i].temp  = x[j][i].temp-x[j+1][i].temp;
    306:     }
    307:   }

    309:   /* Test whether we are on the top edge of the global array */
    310:   if (yinte == info->my) {
    311:     j     = info->my - 1;
    312:     yinte = yinte - 1;
    313:     /* top edge */
    314:     for (i=info->xs; i<info->xs+info->xm; i++) {
    315:       f[j][i].u     = x[j][i].u - lid;
    316:       f[j][i].v     = x[j][i].v;
    317:       f[j][i].omega = x[j][i].omega + (x[j][i].u - x[j-1][i].u)*dhy;
    318:       f[j][i].temp  = x[j][i].temp-x[j-1][i].temp;
    319:     }
    320:   }

    322:   /* Test whether we are on the left edge of the global array */
    323:   if (xints == 0) {
    324:     i     = 0;
    325:     xints = xints + 1;
    326:     /* left edge */
    327:     for (j=info->ys; j<info->ys+info->ym; j++) {
    328:       f[j][i].u     = x[j][i].u;
    329:       f[j][i].v     = x[j][i].v;
    330:       f[j][i].omega = x[j][i].omega - (x[j][i+1].v - x[j][i].v)*dhx;
    331:       f[j][i].temp  = x[j][i].temp;
    332:     }
    333:   }

    335:   /* Test whether we are on the right edge of the global array */
    336:   if (xinte == info->mx) {
    337:     i     = info->mx - 1;
    338:     xinte = xinte - 1;
    339:     /* right edge */
    340:     for (j=info->ys; j<info->ys+info->ym; j++) {
    341:       f[j][i].u     = x[j][i].u;
    342:       f[j][i].v     = x[j][i].v;
    343:       f[j][i].omega = x[j][i].omega - (x[j][i].v - x[j][i-1].v)*dhx;
    344:       f[j][i].temp  = x[j][i].temp - (PetscReal)(grashof>0);
    345:     }
    346:   }

    348:   /* Compute over the interior points */
    349:   for (j=yints; j<yinte; j++) {
    350:     for (i=xints; i<xinte; i++) {

    352:       /*
    353:         convective coefficients for upwinding
    354:       */
    355:       vx  = x[j][i].u; avx = PetscAbsScalar(vx);
    356:       vxp = .5*(vx+avx); vxm = .5*(vx-avx);
    357:       vy  = x[j][i].v; avy = PetscAbsScalar(vy);
    358:       vyp = .5*(vy+avy); vym = .5*(vy-avy);

    360:       /* U velocity */
    361:       u         = x[j][i].u;
    362:       udot      = user->parabolic ? xdot[j][i].u : 0.;
    363:       uxx       = (2.0*u - x[j][i-1].u - x[j][i+1].u)*hydhx;
    364:       uyy       = (2.0*u - x[j-1][i].u - x[j+1][i].u)*hxdhy;
    365:       f[j][i].u = udot + uxx + uyy - .5*(x[j+1][i].omega-x[j-1][i].omega)*hx;

    367:       /* V velocity */
    368:       u         = x[j][i].v;
    369:       udot      = user->parabolic ? xdot[j][i].v : 0.;
    370:       uxx       = (2.0*u - x[j][i-1].v - x[j][i+1].v)*hydhx;
    371:       uyy       = (2.0*u - x[j-1][i].v - x[j+1][i].v)*hxdhy;
    372:       f[j][i].v = udot + uxx + uyy + .5*(x[j][i+1].omega-x[j][i-1].omega)*hy;

    374:       /* Omega */
    375:       u             = x[j][i].omega;
    376:       uxx           = (2.0*u - x[j][i-1].omega - x[j][i+1].omega)*hydhx;
    377:       uyy           = (2.0*u - x[j-1][i].omega - x[j+1][i].omega)*hxdhy;
    378:       f[j][i].omega = (xdot[j][i].omega + uxx + uyy
    379:                        + (vxp*(u - x[j][i-1].omega)
    380:                           + vxm*(x[j][i+1].omega - u)) * hy
    381:                        + (vyp*(u - x[j-1][i].omega)
    382:                           + vym*(x[j+1][i].omega - u)) * hx
    383:                        - .5 * grashof * (x[j][i+1].temp - x[j][i-1].temp) * hy);

    385:       /* Temperature */
    386:       u            = x[j][i].temp;
    387:       uxx          = (2.0*u - x[j][i-1].temp - x[j][i+1].temp)*hydhx;
    388:       uyy          = (2.0*u - x[j-1][i].temp - x[j+1][i].temp)*hxdhy;
    389:       f[j][i].temp =  (xdot[j][i].temp + uxx + uyy
    390:                        + prandtl * ((vxp*(u - x[j][i-1].temp)
    391:                                      + vxm*(x[j][i+1].temp - u)) * hy
    392:                                     + (vyp*(u - x[j-1][i].temp)
    393:                                        + vym*(x[j+1][i].temp - u)) * hx));
    394:     }
    395:   }

    397:   /*
    398:      Flop count (multiply-adds are counted as 2 operations)
    399:   */
    400:   PetscLogFlops(84.0*info->ym*info->xm);
    401:   return(0);
    402: }

    404: /*TEST

    406:     test:
    407:       args: -da_grid_x 20 -da_grid_y 20 -lidvelocity 100 -grashof 1e3 -ts_max_steps 100 -ts_rtol 1e-3 -ts_atol 1e-3 -ts_type rosw -ts_rosw_type ra3pw -ts_monitor -ts_monitor_solution_vtk 'foo-%03D.vts'
    408:       requires: !complex !single

    410:     test:
    411:       suffix: 2
    412:       nsize: 4
    413:       args: -da_grid_x 20 -da_grid_y 20 -lidvelocity 100 -grashof 1e3 -ts_max_steps 100 -ts_rtol 1e-3 -ts_atol 1e-3 -ts_type rosw -ts_rosw_type ra3pw -ts_monitor -ts_monitor_solution_vtk 'foo-%03D.vts'
    414:       requires: !complex !single

    416:     test:
    417:       suffix: 3
    418:       nsize: 4
    419:       args: -da_refine 2 -lidvelocity 100 -grashof 1e3 -ts_max_steps 10 -ts_rtol 1e-3 -ts_atol 1e-3 -pc_type none -ts_type beuler -ts_monitor -snes_monitor_short -snes_type aspin -da_overlap 4
    420:       requires: !complex !single

    422:     test:
    423:       suffix: 4
    424:       nsize: 2
    425:       args: -da_refine 1 -lidvelocity 100 -grashof 1e3 -ts_max_steps 10 -ts_rtol 1e-3 -ts_atol 1e-3
    426:       requires: !complex !single

    428:     test:
    429:       suffix: asm
    430:       nsize: 4
    431:       args: -da_refine 1 -lidvelocity 100 -grashof 1e3 -ts_max_steps 10 -ts_rtol 1e-3 -ts_atol 1e-3
    432:       requires: !complex !single

    434: TEST*/