elixir_mhd_weak_blast_wave.jl

using OrdinaryDiffEqLowStorageRK
using Trixi

###############################################################################
# semidiscretization of the compressible ideal GLM-MHD equations

equations = IdealGlmMhdEquations2D(1.4)

initial_condition = initial_condition_weak_blast_wave

# 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_hindenlang_gassner, flux_nonconservative_powell)
dg = DGMulti(polydeg = 3, element_type = Quad(), approximation_type = Polynomial(),
             surface_integral = SurfaceIntegralWeakForm(surface_flux),
             volume_integral = VolumeIntegralFluxDifferencing(volume_flux))

cells_per_dimension = (16, 16)
mesh = DGMultiMesh(dg, cells_per_dimension,
                   coordinates_min = (-2.0, -2.0), coordinates_max = (2.0, 2.0),
                   periodicity = true)
semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, dg;
                                    boundary_conditions = boundary_condition_periodic)

###############################################################################
# ODE solvers, callbacks etc.

tspan = (0.0, 0.4)
ode = semidiscretize(semi, tspan)

summary_callback = SummaryCallback()

analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval, uEltype = real(dg))
alive_callback = AliveCallback(analysis_interval = analysis_interval)

cfl = 1.0
stepsize_callback = StepsizeCallback(cfl = cfl)

glm_speed_callback = GlmSpeedCallback(glm_scale = 0.5, cfl = cfl)

save_solution = SaveSolutionCallback(interval = analysis_interval,
                                     solution_variables = cons2prim)

callbacks = CallbackSet(summary_callback,
                        analysis_callback,
                        stepsize_callback,
                        alive_callback,
                        glm_speed_callback,
                        save_solution)

###############################################################################
# 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);