Ejemplo n.º 1
0
def main(write_output=True, dtype=np.float32):
    from grudge.backends import guess_run_context
    rcon = guess_run_context()

    from grudge.mesh.generator import make_rect_mesh
    if rcon.is_head_rank:
        h_fac = 1
        mesh = make_rect_mesh(a=(0, 0),
                              b=(1, 1),
                              max_area=h_fac**2 * 1e-4,
                              periodicity=(True, True),
                              subdivisions=(int(70 / h_fac), int(70 / h_fac)))

    from grudge.models.gas_dynamics.lbm import \
            D2Q9LBMMethod, LatticeBoltzmannOperator

    op = LatticeBoltzmannOperator(D2Q9LBMMethod(), lbm_delta_t=0.001, nu=1e-4)

    if rcon.is_head_rank:
        print("%d elements" % len(mesh.elements))
        mesh_data = rcon.distribute_mesh(mesh)
    else:
        mesh_data = rcon.receive_mesh()

    discr = rcon.make_discretization(mesh_data,
                                     order=3,
                                     default_scalar_type=dtype,
                                     debug=["cuda_no_plan"])
    from grudge.timestep.runge_kutta import LSRK4TimeStepper
    stepper = LSRK4TimeStepper(
        dtype=dtype,
        #vector_primitive_factory=discr.get_vector_primitive_factory()
    )

    from grudge.visualization import VtkVisualizer
    if write_output:
        vis = VtkVisualizer(discr, rcon, "fld")

    from grudge.data import CompiledExpressionData

    def ic_expr(t, x, fields):
        from grudge.symbolic import FunctionSymbol
        from pymbolic.primitives import IfPositive
        from pytools.obj_array import make_obj_array

        tanh = FunctionSymbol("tanh")
        sin = FunctionSymbol("sin")

        rho = 1
        u0 = 0.05
        w = 0.05
        delta = 0.05

        from grudge.symbolic.primitives import make_common_subexpression as cse
        u = cse(
            make_obj_array([
                IfPositive(x[1] - 1 / 2, u0 * tanh(4 * (3 / 4 - x[1]) / w),
                           u0 * tanh(4 * (x[1] - 1 / 4) / w)),
                u0 * delta * sin(2 * np.pi * (x[0] + 1 / 4))
            ]), "u")

        return make_obj_array([
            op.method.f_equilibrium(rho, alpha, u)
            for alpha in range(len(op.method))
        ])

    # timestep loop -----------------------------------------------------------
    stream_rhs = op.bind_rhs(discr)
    collision_update = op.bind(discr, op.collision_update)
    get_rho = op.bind(discr, op.rho)
    get_rho_u = op.bind(discr, op.rho_u)

    f_bar = CompiledExpressionData(ic_expr).volume_interpolant(0, discr)

    from grudge.discretization import ExponentialFilterResponseFunction
    from grudge.symbolic.operators import FilterOperator
    mode_filter = FilterOperator(
            ExponentialFilterResponseFunction(min_amplification=0.9, order=4))\
                    .bind(discr)

    final_time = 1000
    try:
        lbm_dt = op.lbm_delta_t
        dg_dt = op.estimate_timestep(discr, stepper=stepper)
        print(dg_dt)

        dg_steps_per_lbm_step = int(np.ceil(lbm_dt / dg_dt))
        dg_dt = lbm_dt / dg_steps_per_lbm_step

        lbm_steps = int(final_time // op.lbm_delta_t)
        for step in range(lbm_steps):
            t = step * lbm_dt

            if step % 100 == 0 and write_output:
                visf = vis.make_file("fld-%04d" % step)

                rho = get_rho(f_bar)
                rho_u = get_rho_u(f_bar)
                vis.add_data(
                    visf,
                    [("fbar%d" % i, discr.convert_volume(f_bar_i, "numpy"))
                     for i, f_bar_i in enumerate(f_bar)] + [
                         ("rho", discr.convert_volume(rho, "numpy")),
                         ("rho_u", discr.convert_volume(rho_u, "numpy")),
                     ],
                    time=t,
                    step=step)
                visf.close()

            print("step=%d, t=%f" % (step, t))

            f_bar = collision_update(f_bar)

            for substep in range(dg_steps_per_lbm_step):
                f_bar = stepper(f_bar, t + substep * dg_dt, dg_dt, stream_rhs)

            #f_bar = mode_filter(f_bar)

    finally:
        if write_output:
            vis.close()

        discr.close()
Ejemplo n.º 2
0
    #case = OffCenterMigratingTestCase(),
    case=ExactTestCase(),
):
    from grudge.backends import guess_run_context
    rcon = guess_run_context()

    order = 3
    if rcon.is_head_rank:
        if True:
            from grudge.mesh.generator import make_uniform_1d_mesh
            mesh = make_uniform_1d_mesh(case.a, case.b, 20, periodic=True)
        else:
            from grudge.mesh.generator import make_rect_mesh
            print((pi * 2) / (11 * 5 * 2))
            mesh = make_rect_mesh((-pi, -1), (pi, 1),
                                  periodicity=(True, True),
                                  subdivisions=(11, 5),
                                  max_area=(pi * 2) / (11 * 5 * 2))

    if rcon.is_head_rank:
        mesh_data = rcon.distribute_mesh(mesh)
    else:
        mesh_data = rcon.receive_mesh()

    discr = rcon.make_discretization(mesh_data,
                                     order=order,
                                     quad_min_degrees={"quad": 3 * order})

    if write_output:
        from grudge.visualization import VtkVisualizer
        vis = VtkVisualizer(discr, rcon, "fld")
Ejemplo n.º 3
0
def main():
    from grudge.backends import guess_run_context
    rcon = guess_run_context()

    from grudge.tools import to_obj_array

    if rcon.is_head_rank:
        from grudge.mesh.generator import make_rect_mesh
        mesh = make_rect_mesh((-5, -5), (5, 5), max_area=0.01)
        mesh_data = rcon.distribute_mesh(mesh)
    else:
        mesh_data = rcon.receive_mesh()

    for order in [1]:
        discr = rcon.make_discretization(mesh_data,
                                         order=order,
                                         default_scalar_type=numpy.float64)

        from grudge.visualization import SiloVisualizer, VtkVisualizer
        vis = VtkVisualizer(discr, rcon, "Sod2D-%d" % order)
        #vis = SiloVisualizer(discr, rcon)

        sod_field = Sod(gamma=1.4)
        fields = sod_field.volume_interpolant(0, discr)

        from grudge.models.gas_dynamics import GasDynamicsOperator
        from grudge.mesh import BTAG_ALL
        op = GasDynamicsOperator(dimensions=2,
                                 gamma=sod_field.gamma,
                                 mu=0.0,
                                 prandtl=sod_field.prandtl,
                                 bc_inflow=sod_field,
                                 bc_outflow=sod_field,
                                 bc_noslip=sod_field,
                                 inflow_tag=BTAG_ALL,
                                 source=None)

        euler_ex = op.bind(discr)

        max_eigval = [0]

        def rhs(t, q):
            ode_rhs, speed = euler_ex(t, q)
            max_eigval[0] = speed
            return ode_rhs

        rhs(0, fields)

        if rcon.is_head_rank:
            print("---------------------------------------------")
            print("order %d" % order)
            print("---------------------------------------------")
            print("#elements=", len(mesh.elements))

        # limiter setup ------------------------------------------------------------
        from grudge.models.gas_dynamics import SlopeLimiter1NEuler
        limiter = SlopeLimiter1NEuler(discr, sod_field.gamma, 2, op)

        # integrator setup---------------------------------------------------------
        from grudge.timestep import SSPRK3TimeStepper, RK4TimeStepper
        stepper = SSPRK3TimeStepper(limiter=limiter)
        #stepper = SSPRK3TimeStepper()
        #stepper = RK4TimeStepper()

        # diagnostics setup ---------------------------------------------------
        from pytools.log import LogManager, add_general_quantities, \
                add_simulation_quantities, add_run_info

        logmgr = LogManager("euler-%d.dat" % order, "w", rcon.communicator)
        add_run_info(logmgr)
        add_general_quantities(logmgr)
        add_simulation_quantities(logmgr)
        discr.add_instrumentation(logmgr)
        stepper.add_instrumentation(logmgr)

        logmgr.add_watches(["step.max", "t_sim.max", "t_step.max"])

        # filter setup-------------------------------------------------------------
        from grudge.discretization import Filter, ExponentialFilterResponseFunction
        mode_filter = Filter(
            discr,
            ExponentialFilterResponseFunction(min_amplification=0.9, order=4))

        # timestep loop -------------------------------------------------------
        try:
            from grudge.timestep import times_and_steps
            step_it = times_and_steps(
                final_time=1.0,
                logmgr=logmgr,
                max_dt_getter=lambda t: op.estimate_timestep(
                    discr, stepper=stepper, t=t, max_eigenvalue=max_eigval[0]))

            for step, t, dt in step_it:
                if step % 5 == 0:
                    #if False:
                    visf = vis.make_file("vortex-%d-%04d" % (order, step))

                    #true_fields = vortex.volume_interpolant(t, discr)

                    #from pyvisfile.silo import DB_VARTYPE_VECTOR
                    vis.add_data(
                        visf,
                        [
                            ("rho",
                             discr.convert_volume(op.rho(fields),
                                                  kind="numpy")),
                            ("e",
                             discr.convert_volume(op.e(fields), kind="numpy")),
                            ("rho_u",
                             discr.convert_volume(op.rho_u(fields),
                                                  kind="numpy")),
                            ("u",
                             discr.convert_volume(op.u(fields), kind="numpy")),

                            #("true_rho", op.rho(true_fields)),
                            #("true_e", op.e(true_fields)),
                            #("true_rho_u", op.rho_u(true_fields)),
                            #("true_u", op.u(true_fields)),

                            #("rhs_rho", op.rho(rhs_fields)),
                            #("rhs_e", op.e(rhs_fields)),
                            #("rhs_rho_u", op.rho_u(rhs_fields)),
                        ],
                        #expressions=[
                        #("diff_rho", "rho-true_rho"),
                        #("diff_e", "e-true_e"),
                        #("diff_rho_u", "rho_u-true_rho_u", DB_VARTYPE_VECTOR),

                        #("p", "0.4*(e- 0.5*(rho_u*u))"),
                        #],
                        time=t,
                        step=step)
                    visf.close()

                fields = stepper(fields, t, dt, rhs)
                # fields = limiter(fields)
                # fields = mode_filter(fields)

                assert not numpy.isnan(numpy.sum(fields[0]))
        finally:
            vis.close()
            logmgr.close()
            discr.close()

        # not solution, just to check against when making code changes
        true_fields = sod_field.volume_interpolant(t, discr)
        print(discr.norm(fields - true_fields))