コード例 #1
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ファイル: benchmarks.py プロジェクト: hbcbh1999/dedaLES
def set_ic_rayleigh_benard_benchmark(model):
    noise = dedaLES.random_noise(model.domain)

    # Linear background + perturbations damped at walls
    zbottom, ztop = model.zbasis.interval
    a = model.problem.parameters['a']
    Bz = model.problem.parameters['B0']/(ztop-zbottom)
    z = model.z

    pert = a * noise * (z - ztop) * (z - zbottom)
    model.set_fields(b=Bz*(z - pert))
コード例 #2
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    """.format(surface_heat_flux, surface_buoyancy_flux, 1/initial_N, initial_dt, run_time, 
                Lx, Ly, Lz, nx, ny, nz,
                turb_vel_scale, erosion_time_scale, kolmogorov_length_scale, Δx, Δy, Δz_min, Δz_max,
                closure_name)
)

# Boundary conditions
model.set_bc("no penetration", "top", "bottom")
model.set_bc("free slip", "top", "bottom")
model.set_tracer_gradient_bc("b", "top", gradient="surface_bz") #*tanh(t/tb)")
model.set_tracer_gradient_bc("b", "bottom", gradient="initial_N2")
model.build_solver(timestepper='SBDF3')

# Initial condition
noise = noise_amplitude * dedaLES.random_noise(model.domain) * model.z * (Lz - model.z) / Lz**2
initial_b = initial_N2*model.z
model.set_fields(
    u = noise,
    v = noise,
    b = initial_b + np.sqrt(initial_N2) * noise
    #w = noise,
)

model.stop_at(sim_time=run_time)

dt_gizmo = dedaLES.TimeStepGizmo(model.solver, initial_dt=initial_dt, cadence=dt_cadence, max_change=1.5, safety=dt_safety)
dt_gizmo.add_velocities(('u', 'v', 'w'))
dt_gizmo.add_diffusivity('ν_sgs')
dt_gizmo.add_diffusivity('κb_sgs')
コード例 #3
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model.set_tracer_gradient_bc('v', "bottom", gradient="-Vgz")
model.set_tracer_gradient_bc("b", "top", gradient="bz_surf")
model.set_tracer_gradient_bc("b", "bottom", gradient='bz_deep')

model.build_solver(timestepper='CNAB2')


# Initial condition
def smoothstep(z, d):
    return 0.5 * (1 + np.tanh(z / d))


b0 = bz_deep * (model.z + h0) * smoothstep(-model.z - h0, d)

# Add noise ... ?
noise = dedaLES.random_noise(model.domain)
b0 = b0 + b_noise * noise
model.set_fields(b=b0, u=0, v=0, w=0)

# CFL conditions
CFL = flow_tools.CFL(model.solver,
                     initial_dt=1e-2,
                     cadence=1,
                     max_change=1.5,
                     max_dt=10,
                     safety=0.5)
CFL.add_velocities(('u', 'v+Vg', 'w'))

#Analysis tasks
snap = model.solver.evaluator.add_file_handler('snapshots', sim_dt=30)
#snap.add_task("interp(b, z=0)", scales=1, name='b surface')
コード例 #4
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                                      ny=64,
                                      nz=32,
                                      ν=ν,
                                      κ=κ,
                                      Δb=1,
                                      closure=closure)

model.set_bc("no penetration", "top", "bottom")
model.set_bc("no slip", "top", "bottom")
model.problem.add_bc("right(b) = 0")
model.problem.add_bc("left(b) = Δb")

model.build_solver()

# Set initial condition: unstable buoyancy grad + random perturbations
noise = a * dedaLES.random_noise(
    model.domain) * model.z * (model.Lz - model.z) / model.Lz**2,
model.set_fields(u=noise, v=noise, w=noise, b=model.z / model.Lz - noise)
model.stop_at(sim_time=100)

# Analysis
if closure is None: closure_name = 'DNS'
else: closure_name = closure.__class__.__name__

simulation_name = "rayleigh_benard_snapshots_{:s}".format(closure_name)
analysis = model.solver.evaluator.add_file_handler(simulation_name,
                                                   iter=100,
                                                   max_writes=100)
analysis.add_system(model.solver.state, layout='g')

stats = flow_tools.GlobalFlowProperty(model.solver, cadence=10)
stats.add_property("sqrt(u*u + v*v + w*w) / ν", name="Re")
コード例 #5
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ファイル: dns_runner.py プロジェクト: mbhs-systems/pf
model = dns.DNS_3P_Box(nx=nx,
                       ny=ny,
                       nz=nz,
                       Lx=Lx,
                       Ly=Ly,
                       Lz=Lz,
                       ν=1.0,
                       closure=closure)
# model = channel_mod.ChannelMod_DNS(nx=nx, ny=ny, nz=nz, Lx=Lx, Ly=Ly, Lz=Lz, xleft=nx, yleft=ny, zbottom=nz,
# 								   nu=1.0, rho=1.0)
model.build_solver()

# Random initial condition. Re_k = u k / ν => u ~ ν * Re_k / k
Re = 1000.0  # Re at grid scale
u0 = Re / nx
model.u['g'] = u0 * dedaLES.random_noise(model.domain, seed=23)
model.v['g'] = u0 * dedaLES.random_noise(model.domain, seed=42)

model.u['g'] = model.u['g'] - np.mean(model.u['g'])
model.v['g'] = model.v['g'] - np.mean(model.v['g'])

# Diagnose w from continuity
ux = model.domain.new_field()
vy = model.domain.new_field()
wz = model.domain.new_field()
model.u.differentiate('x', out=ux)
model.v.differentiate('y', out=vy)
model.w.differentiate('z', out=wz)

wz['g'] = -ux['g'] - vy['g']
wz.integrate('z', out=model.w)
コード例 #6
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spinup_model = dedaLES.BoussinesqChannelFlow(Lx=Lx,
                                             Ly=Ly,
                                             Lz=Lz,
                                             nx=nx_spinup,
                                             ny=ny_spinup,
                                             nz=nz_spinup,
                                             ν=ν,
                                             κ=κ,
                                             Δb=Δb,
                                             closure=closure,
                                             Ra=Ra)
set_rayleigh_benard_bcs(spinup_model)
spinup_model.build_solver(timestepper='SBDF3')

# Set initial condition: unstable buoyancy grad + random perturbations
noise = a * dedaLES.random_noise(
    spinup_model.domain) * spinup_model.z * (Lz - spinup_model.z) / Lz**2,
spinup_model.set_fields(u=noise,
                        v=noise,
                        w=noise,
                        b=spinup_model.z / Lz - noise)
spinup_model.stop_at(sim_time=spinup_time)

# Make CFL
spinup_CFL = flow_tools.CFL(spinup_model.solver,
                            initial_dt=dt0,
                            cadence=10,
                            max_change=1.5,
                            safety=0.5)
spinup_CFL.add_velocities(('u', 'v', 'w'))

# Flow properties: Reynolds number and three Nusselt numbers