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examples/p4est_3d_dgsem/elixir_navierstokes_blast_wave_amr.jl
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using OrdinaryDiffEq | ||
using Trixi | ||
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############################################################################### | ||
# semidiscretization of the compressible Navier-Stokes equations | ||
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# TODO: parabolic; unify names of these accessor functions | ||
prandtl_number() = 0.72 | ||
mu() = 6.25e-4 # equivalent to Re = 1600 | ||
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equations = CompressibleEulerEquations3D(1.4) | ||
equations_parabolic = CompressibleNavierStokesDiffusion3D(equations, mu = mu(), | ||
Prandtl = prandtl_number()) | ||
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function initial_condition_3d_blast_wave(x, t, equations::CompressibleEulerEquations3D) | ||
rho_c = 1.0 | ||
p_c = 1.0 | ||
u_c = 0.0 | ||
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rho_o = 0.125 | ||
p_o = 0.1 | ||
u_o = 0.0 | ||
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rc = 0.5 | ||
r = sqrt(x[1]^2 + x[2]^2 + x[3]^2) | ||
if r < rc | ||
rho = rho_c | ||
v1 = u_c | ||
v2 = u_c | ||
v3 = u_c | ||
p = p_c | ||
else | ||
rho = rho_o | ||
v1 = u_o | ||
v2 = u_o | ||
v3 = u_o | ||
p = p_o | ||
end | ||
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return prim2cons(SVector(rho, v1, v2, v3, p), equations) | ||
end | ||
initial_condition = initial_condition_3d_blast_wave | ||
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surface_flux = flux_lax_friedrichs | ||
volume_flux = flux_ranocha | ||
polydeg = 3 | ||
basis = LobattoLegendreBasis(polydeg) | ||
indicator_sc = IndicatorHennemannGassner(equations, basis, | ||
alpha_max = 1.0, | ||
alpha_min = 0.001, | ||
alpha_smooth = true, | ||
variable = density_pressure) | ||
volume_integral = VolumeIntegralShockCapturingHG(indicator_sc; | ||
volume_flux_dg = volume_flux, | ||
volume_flux_fv = surface_flux) | ||
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solver = DGSEM(polydeg = polydeg, surface_flux = surface_flux, | ||
volume_integral = volume_integral) | ||
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coordinates_min = (-1.0, -1.0, -1.0) .* pi | ||
coordinates_max = (1.0, 1.0, 1.0) .* pi | ||
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trees_per_dimension = (4, 4, 4) | ||
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mesh = P4estMesh(trees_per_dimension, polydeg = 3, | ||
coordinates_min = coordinates_min, coordinates_max = coordinates_max, | ||
periodicity = (true, true, true), initial_refinement_level = 1) | ||
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semi = SemidiscretizationHyperbolicParabolic(mesh, (equations, equations_parabolic), | ||
initial_condition, solver) | ||
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############################################################################### | ||
# ODE solvers, callbacks etc. | ||
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tspan = (0.0, 0.8) | ||
ode = semidiscretize(semi, tspan) | ||
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summary_callback = SummaryCallback() | ||
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analysis_interval = 100 | ||
analysis_callback = AnalysisCallback(semi, interval = analysis_interval) | ||
save_solution = SaveSolutionCallback(interval = analysis_interval, | ||
save_initial_solution = true, | ||
save_final_solution = true, | ||
solution_variables = cons2prim) | ||
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amr_indicator = IndicatorLöhner(semi, variable = Trixi.density) | ||
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amr_controller = ControllerThreeLevel(semi, amr_indicator, | ||
base_level = 0, | ||
med_level = 1, med_threshold = 0.05, | ||
max_level = 3, max_threshold = 0.1) | ||
amr_callback = AMRCallback(semi, amr_controller, | ||
interval = 10, | ||
adapt_initial_condition = true, | ||
adapt_initial_condition_only_refine = true) | ||
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alive_callback = AliveCallback(analysis_interval = analysis_interval) | ||
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callbacks = CallbackSet(summary_callback, | ||
analysis_callback, | ||
alive_callback, | ||
amr_callback, | ||
save_solution) | ||
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############################################################################### | ||
# run the simulation | ||
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time_int_tol = 1e-8 | ||
sol = solve(ode, RDPK3SpFSAL49(); abstol = time_int_tol, reltol = time_int_tol, | ||
ode_default_options()..., callback = callbacks) | ||
summary_callback() # print the timer summary |
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examples/p4est_3d_dgsem/elixir_navierstokes_taylor_green_vortex_amr.jl
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using OrdinaryDiffEq | ||
using Trixi | ||
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############################################################################### | ||
# semidiscretization of the compressible Navier-Stokes equations | ||
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# TODO: parabolic; unify names of these accessor functions | ||
prandtl_number() = 0.72 | ||
mu() = 6.25e-4 # equivalent to Re = 1600 | ||
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equations = CompressibleEulerEquations3D(1.4) | ||
equations_parabolic = CompressibleNavierStokesDiffusion3D(equations, mu = mu(), | ||
Prandtl = prandtl_number()) | ||
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""" | ||
initial_condition_taylor_green_vortex(x, t, equations::CompressibleEulerEquations3D) | ||
The classical Taylor-Green vortex. | ||
""" | ||
function initial_condition_taylor_green_vortex(x, t, | ||
equations::CompressibleEulerEquations3D) | ||
A = 1.0 # magnitude of speed | ||
Ms = 0.1 # maximum Mach number | ||
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rho = 1.0 | ||
v1 = A * sin(x[1]) * cos(x[2]) * cos(x[3]) | ||
v2 = -A * cos(x[1]) * sin(x[2]) * cos(x[3]) | ||
v3 = 0.0 | ||
p = (A / Ms)^2 * rho / equations.gamma # scaling to get Ms | ||
p = p + | ||
1.0 / 16.0 * A^2 * rho * | ||
(cos(2 * x[1]) * cos(2 * x[3]) + 2 * cos(2 * x[2]) + 2 * cos(2 * x[1]) + | ||
cos(2 * x[2]) * cos(2 * x[3])) | ||
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return prim2cons(SVector(rho, v1, v2, v3, p), equations) | ||
end | ||
initial_condition = initial_condition_taylor_green_vortex | ||
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@inline function vel_mag(u, equations::CompressibleEulerEquations3D) | ||
rho, rho_v1, rho_v2, rho_v3, _ = u | ||
return sqrt(rho_v1^2 + rho_v2^2 + rho_v3^2) / rho | ||
end | ||
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volume_flux = flux_ranocha | ||
solver = DGSEM(polydeg = 3, surface_flux = flux_lax_friedrichs, | ||
volume_integral = VolumeIntegralFluxDifferencing(volume_flux)) | ||
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coordinates_min = (-1.0, -1.0, -1.0) .* pi | ||
coordinates_max = (1.0, 1.0, 1.0) .* pi | ||
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trees_per_dimension = (2, 2, 2) | ||
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mesh = P4estMesh(trees_per_dimension, polydeg = 3, | ||
coordinates_min = coordinates_min, coordinates_max = coordinates_max, | ||
periodicity = (true, true, true), initial_refinement_level = 0) | ||
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semi = SemidiscretizationHyperbolicParabolic(mesh, (equations, equations_parabolic), | ||
initial_condition, solver) | ||
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############################################################################### | ||
# ODE solvers, callbacks etc. | ||
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tspan = (0.0, 0.5) | ||
ode = semidiscretize(semi, tspan) | ||
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summary_callback = SummaryCallback() | ||
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analysis_interval = 50 | ||
analysis_callback = AnalysisCallback(semi, interval = analysis_interval, | ||
save_analysis = true, | ||
extra_analysis_integrals = (energy_kinetic, | ||
energy_internal, | ||
enstrophy)) | ||
save_solution = SaveSolutionCallback(interval = 100, | ||
save_initial_solution = true, | ||
save_final_solution = true, | ||
solution_variables = cons2prim) | ||
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amr_indicator = IndicatorLöhner(semi, variable = vel_mag) | ||
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amr_controller = ControllerThreeLevel(semi, amr_indicator, | ||
base_level = 0, | ||
med_level = 1, med_threshold = 0.1, | ||
max_level = 3, max_threshold = 0.2) | ||
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amr_callback = AMRCallback(semi, amr_controller, | ||
interval = 5, | ||
adapt_initial_condition = false, | ||
adapt_initial_condition_only_refine = false) | ||
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alive_callback = AliveCallback(analysis_interval = analysis_interval) | ||
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callbacks = CallbackSet(summary_callback, | ||
analysis_callback, | ||
alive_callback, | ||
amr_callback, | ||
save_solution) | ||
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############################################################################### | ||
# run the simulation | ||
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time_int_tol = 1e-8 | ||
sol = solve(ode, RDPK3SpFSAL49(); abstol = time_int_tol, reltol = time_int_tol, | ||
ode_default_options()..., callback = callbacks) | ||
summary_callback() # print the timer summary |
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