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elixir_mhd_alfven_wave.jl
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72 lines (56 loc) · 3.4 KB
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using OrdinaryDiffEqLowStorageRK
using Trixi
###############################################################################
# semidiscretization of the compressible ideal GLM-MHD equations
equations = IdealGlmMhdEquations2D(5 / 3)
initial_condition = initial_condition_convergence_test
# Up to version 0.13.0, `max_abs_speed_naive` was used as the default wave speed estimate of
# `const flux_lax_friedrichs = FluxLaxFriedrichs(), i.e., `FluxLaxFriedrichs(max_abs_speed = max_abs_speed_naive)`.
# In the `StepsizeCallback`, though, the less diffusive `max_abs_speeds` is employed which is consistent with `max_abs_speed`.
# Thus, we exchanged in PR#2458 the default wave speed used in the LLF flux to `max_abs_speed`.
# To ensure that every example still runs we specify explicitly `FluxLaxFriedrichs(max_abs_speed_naive)`.
# We remark, however, that the now default `max_abs_speed` is in general recommended due to compliance with the
# `StepsizeCallback` (CFL-Condition) and less diffusion.
surface_flux = (FluxLaxFriedrichs(max_abs_speed_naive), flux_nonconservative_powell)
volume_flux = (flux_central, flux_nonconservative_powell)
solver = DGSEM(polydeg = 3, surface_flux = surface_flux,
volume_integral = VolumeIntegralFluxDifferencing(volume_flux))
coordinates_min = (0.0, 0.0)
coordinates_max = (sqrt(2.0), sqrt(2.0))
mesh = TreeMesh(coordinates_min, coordinates_max,
initial_refinement_level = 4,
n_cells_max = 10_000, periodicity = true)
semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver;
boundary_conditions = boundary_condition_periodic)
###############################################################################
# ODE solvers, callbacks etc.
tspan = (0.0, 2.0)
ode = semidiscretize(semi, tspan)
summary_callback = SummaryCallback()
analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval,
save_analysis = true,
extra_analysis_integrals = (entropy, energy_total,
energy_kinetic,
energy_internal,
energy_magnetic,
cross_helicity))
alive_callback = AliveCallback(analysis_interval = analysis_interval)
save_solution = SaveSolutionCallback(interval = 10,
save_initial_solution = true,
save_final_solution = true,
solution_variables = cons2prim)
cfl = 1.5
stepsize_callback = StepsizeCallback(cfl = cfl)
glm_speed_callback = GlmSpeedCallback(glm_scale = 0.5, cfl = cfl)
callbacks = CallbackSet(summary_callback,
analysis_callback,
alive_callback,
save_solution,
stepsize_callback,
glm_speed_callback)
###############################################################################
# run the simulation
sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false);
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
ode_default_options()..., callback = callbacks);