elixir_euler_shockcapturing.jl

using OrdinaryDiffEqLowStorageRK
using Trixi

###############################################################################
# semidiscretization of the compressible Euler equations

equations = CompressibleEulerEquations2D(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)
volume_flux = flux_ranocha

polydeg = 3
basis = DGMultiBasis(Quad(), polydeg, approximation_type = GaussSBP())

indicator_sc = IndicatorHennemannGassner(equations, basis,
                                         alpha_max = 0.5,
                                         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)
dg = DGMulti(basis,
             surface_integral = SurfaceIntegralWeakForm(surface_flux),
             volume_integral = volume_integral)

cells_per_dimension = (8, 8)
mesh = DGMultiMesh(dg, cells_per_dimension, periodicity = true)

semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, dg)

tspan = (0.0, 0.15)
ode = semidiscretize(semi, tspan)

summary_callback = SummaryCallback()
alive_callback = AliveCallback(alive_interval = 10)
analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval, uEltype = real(dg))
save_solution = SaveSolutionCallback(interval = analysis_interval,
                                     solution_variables = cons2prim)
callbacks = CallbackSet(summary_callback, alive_callback, analysis_callback, save_solution)

###############################################################################
# run the simulation

sol = solve(ode, RDPK3SpFSAL49(); abstol = 1.0e-6, reltol = 1.0e-6,
            ode_default_options()..., callback = callbacks);