Ejemplo n.º 1
0
def test_exotic_boundaries():
    step = LatticeBoltzmannStep((50, 50),
                                relaxation_rate=1.8,
                                compressible=False,
                                periodicity=False)
    add_box_boundary(step.boundary_handling, NeumannByCopy())
    step.boundary_handling.set_boundary(StreamInConstant(0), make_slice[0, :])
    step.run(100)
    assert np.max(step.velocity[:, :, :]) < 1e-13
Ejemplo n.º 2
0
def rod_simulation(stencil_name,
                   diameter,
                   parallel=False,
                   entropic=False,
                   re=150,
                   time_to_simulate=17.0,
                   eval_interval=0.5,
                   write_vtk=True,
                   write_numpy=True):

    if stencil_name == 'D3Q19_new':
        stencil = Stencil.D3Q19
        maxwellian_moments = True
    elif stencil_name == 'D3Q19_old':
        stencil = Stencil.D3Q19
        maxwellian_moments = False
    elif stencil_name == 'D3Q27':
        stencil = Stencil.D3Q27
        maxwellian_moments = False
    else:
        raise ValueError("Unknown stencil name " + stencil_name)
    d = diameter
    length = 16 * d

    u_max_at_throat = 0.07
    u_max_at_inflow = 0.07 / (3**2)

    # Geometry parameters
    inflow_area = int(1.5 * d)
    constriction_length = int(1.8904 * d)
    throat_length = int(10 / 3 * d)
    constriction_diameter = int(d / 3)

    u_mean_at_throat = u_max_at_throat / 2
    lattice_viscosity = u_mean_at_throat * constriction_diameter / re
    omega = relaxation_rate_from_lattice_viscosity(lattice_viscosity)

    lbm_config = LBMConfig(stencil=LBStencil(stencil),
                           compressible=True,
                           method=Method.SRT,
                           relaxation_rate=omega,
                           entropic=entropic,
                           maxwellian_moments=maxwellian_moments)
    kernel_params = {}

    print("ω=", omega)

    dh = create_data_handling(domain_size=(length, d, d), parallel=parallel)
    sc = LatticeBoltzmannStep(data_handling=dh,
                              kernel_params=kernel_params,
                              name=stencil_name,
                              lbm_config=lbm_config)

    # -----------------   Boundary Setup   --------------------------------

    def pipe_geometry(x, *_):
        # initialize with full diameter everywhere
        result = np.ones_like(x) * d

        # constriction
        constriction_begin = inflow_area
        constriction_end = constriction_begin + constriction_length
        c_x = np.linspace(0, 1, constriction_length)
        result[constriction_begin:constriction_end] = d * (
            1 - c_x) + constriction_diameter * c_x

        # throat
        throat_start = constriction_end
        throat_end = throat_start + throat_length
        result[throat_start:throat_end] = constriction_diameter

        return result

    bh = sc.boundary_handling
    add_pipe_inflow_boundary(bh, u_max_at_inflow, make_slice[0, :, :])
    outflow = FixedDensity(1.0)
    bh.set_boundary(outflow, slice_from_direction('E', 3))
    wall = NoSlip()
    add_pipe_walls(bh, pipe_geometry, wall)

    # -----------------   Run  --------------------------------------------

    scenario_name = stencil_name

    if not os.path.exists(scenario_name):
        os.mkdir(scenario_name)

    def to_time_steps(non_dimensional_time):
        return int(diameter / (u_max_at_inflow / 2) * non_dimensional_time)

    time_steps = to_time_steps(time_to_simulate)
    eval_interval = to_time_steps(eval_interval)

    print("Total number of time steps", time_steps)

    for i in range(time_steps // eval_interval):
        sc.run(eval_interval)
        if write_vtk:
            sc.write_vtk()
        vel = sc.velocity[:, :, :, :]
        max_vel = np.max(vel)
        print("Time steps:", sc.time_steps_run, "/", time_steps,
              "Max velocity: ", max_vel)
        if np.isnan(max_vel):
            raise ValueError("Simulation went unstable")
        if write_numpy:
            np.save(scenario_name + f'/velocity_{sc.time_steps_run}',
                    sc.velocity_slice().filled(0.0))