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add well-balanced test and lake_at_rest_error
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examples/tree_1d_dgsem/elixir_shallowwater_multilayer_well_balanced.jl
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using OrdinaryDiffEq | ||
using Trixi | ||
using TrixiShallowWater | ||
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############################################################################### | ||
# Semidiscretization of the multilayer shallow water equations to test well-balancedness | ||
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equations = ShallowWaterMultiLayerEquations1D(gravity_constant = 1.0, H0 = 0.7, | ||
rhos = (0.8, 0.9, 1.0)) | ||
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""" | ||
initial_condition_fjordholm_well_balanced(x, t, equations::ShallowWaterMultiLayerEquations1D) | ||
Initial condition to test well balanced with a bottom topography from Fjordholm | ||
- Ulrik Skre Fjordholm (2012) | ||
Energy conservative and stable schemes for the two-layer shallow water equations. | ||
[DOI: 10.1142/9789814417099_0039](https://doi.org/10.1142/9789814417099_0039) | ||
""" | ||
function initial_condition_fjordholm_well_balanced(x, t, | ||
equations::ShallowWaterMultiLayerEquations1D) | ||
inicenter = 0.5 | ||
x_norm = x[1] - inicenter | ||
r = abs(x_norm) | ||
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H = [0.7, 0.6, 0.5] | ||
v = [0.0, 0.0, 0.0] | ||
b = r <= 0.1 ? 0.2 * (cos(10 * pi * (x[1] - 0.5)) + 1) : 0.0 | ||
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return prim2cons(SVector(H..., v..., b), equations) | ||
end | ||
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initial_condition = initial_condition_fjordholm_well_balanced | ||
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############################################################################### | ||
# Get the DG approximation space | ||
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volume_flux = (flux_ersing_etal, flux_nonconservative_ersing_etal) | ||
solver = DGSEM(polydeg = 3, | ||
surface_flux = (flux_ersing_etal, flux_nonconservative_ersing_etal), | ||
volume_integral = VolumeIntegralFluxDifferencing(volume_flux)) | ||
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############################################################################### | ||
# Get the TreeMesh and setup a periodic mesh | ||
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coordinates_min = 0.0 | ||
coordinates_max = 1.0 | ||
mesh = TreeMesh(coordinates_min, coordinates_max, | ||
initial_refinement_level = 4, | ||
n_cells_max = 10_000, | ||
periodicity = true) | ||
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# create the semi discretization object | ||
semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver) | ||
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############################################################################### | ||
# ODE solvers, callbacks etc. | ||
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tspan = (0.0, 10.0) | ||
ode = semidiscretize(semi, tspan) | ||
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summary_callback = SummaryCallback() | ||
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analysis_interval = 1000 | ||
analysis_callback = AnalysisCallback(semi, interval = analysis_interval, | ||
save_analysis = false, | ||
extra_analysis_integrals = (lake_at_rest_error,)) | ||
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stepsize_callback = StepsizeCallback(cfl = 1.0) | ||
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alive_callback = AliveCallback(analysis_interval = analysis_interval) | ||
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save_solution = SaveSolutionCallback(interval = 1000, | ||
save_initial_solution = true, | ||
save_final_solution = true) | ||
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callbacks = CallbackSet(summary_callback, analysis_callback, alive_callback, save_solution, | ||
stepsize_callback) | ||
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############################################################################### | ||
# run the simulation | ||
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sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false), | ||
dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback | ||
save_everystep = false, callback = callbacks); | ||
summary_callback() # print the timer summary |
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