21638916092

Committed 03 Feb 2026 04:42PM UTC coverage: 25.939% (-71.1%) from 97.034%

Build # 21638916092

Build Type

Pull #2754

github

Committed by

web-flow

Commit Message

Merge ee9b4b1c0 into ead0db32a

Pull Request Pull Request #2754: `VolumeIntegralAdaptive` with `IndicatorEntropyChange`

Run Details

0 of 83 new or added lines in 6 files covered. (0.0%)

31545 existing lines in 536 files now uncovered.

11563 of 44578 relevant lines covered (25.94%)

469675.74 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

0.0

/examples/tree_2d_dgsem/elixir_euler_vortex_mortar_split.jl

using OrdinaryDiffEqLowStorageRK
using Trixi

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

equations = CompressibleEulerEquations2D(1.4)

"""
    initial_condition_isentropic_vortex(x, t, equations::CompressibleEulerEquations2D)

The classical isentropic vortex test case of
- Chi-Wang Shu (1997)
  Essentially Non-Oscillatory and Weighted Essentially Non-Oscillatory
  Schemes for Hyperbolic Conservation Laws
  [NASA/CR-97-206253](https://ntrs.nasa.gov/citations/19980007543)
"""
function initial_condition_isentropic_vortex(x, t, equations::CompressibleEulerEquations2D)
    # needs appropriate mesh size, e.g. [-10,-10]x[10,10]
    # for error convergence: make sure that the end time is such that the vortex is back at the initial state!!
    # for the current velocity and domain size: t_end should be a multiple of 20s
    # initial center of the vortex
    RealT = eltype(x)
    inicenter = SVector(0, 0)
    # size and strength of the vortex
    iniamplitude = 5
    # base flow
    rho = 1
    v1 = 1
    v2 = 1
    vel = SVector(v1, v2)
    p = convert(RealT, 25)
    rt = p / rho                  # ideal gas equation
    t_loc = 0
    cent = inicenter + vel * t_loc      # advection of center
    # ATTENTION: handle periodic BC, but only for v1 = v2 = 1.0 (!!!!)
    cent = x - cent # distance to center point
    # cent = cross(iniaxis, cent) # distance to axis, tangent vector, length r
    # cross product with iniaxis = [0, 0, 1]
    cent = SVector(-cent[2], cent[1])
    r2 = cent[1]^2 + cent[2]^2
    du = iniamplitude / (2 * convert(RealT, pi)) * exp(0.5f0 * (1 - r2)) # vel. perturbation
    dtemp = -(equations.gamma - 1) / (2 * equations.gamma * rt) * du^2 # isentropic
    rho = rho * (1 + dtemp)^(1 / (equations.gamma - 1))
    vel = vel + du * cent
    v1, v2 = vel
    p = p * (1 + dtemp)^(equations.gamma / (equations.gamma - 1))
    prim = SVector(rho, v1, v2, p)
    return prim2cons(prim, equations)
end
initial_condition = initial_condition_isentropic_vortex

volume_flux = flux_shima_etal
# 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.
solver = DGSEM(polydeg = 3, surface_flux = FluxLaxFriedrichs(max_abs_speed_naive),
               volume_integral = VolumeIntegralFluxDifferencing(volume_flux))

coordinates_min = (-10.0, -10.0)
coordinates_max = (10.0, 10.0)
refinement_patches = ((type = "box", coordinates_min = (0.0, -10.0),
                       coordinates_max = (10.0, 10.0)),)
mesh = TreeMesh(coordinates_min, coordinates_max,
                initial_refinement_level = 4,
                refinement_patches = refinement_patches,
                n_cells_max = 10_000)

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

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

tspan = (0.0, 1.0)
ode = semidiscretize(semi, tspan)

summary_callback = SummaryCallback()

analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval,
                                     save_analysis = true,
                                     extra_analysis_errors = (:conservation_error,),
                                     extra_analysis_integrals = (entropy, energy_total,
                                                                 energy_kinetic,
                                                                 energy_internal))

alive_callback = AliveCallback(analysis_interval = analysis_interval)

save_solution = SaveSolutionCallback(interval = 100,
                                     save_initial_solution = true,
                                     save_final_solution = true,
                                     solution_variables = cons2prim)

stepsize_callback = StepsizeCallback(cfl = 1.4)

callbacks = CallbackSet(summary_callback,
                        analysis_callback, alive_callback,
                        save_solution,
                        stepsize_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);

1	using OrdinaryDiffEqLowStorageRK
2	using Trixi
3
4	###############################################################################
5	# semidiscretization of the compressible Euler equations
6
7	equations = CompressibleEulerEquations2D(1.4)
8
9	"""
10	initial_condition_isentropic_vortex(x, t, equations::CompressibleEulerEquations2D)
11
12	The classical isentropic vortex test case of
13	- Chi-Wang Shu (1997)
14	Essentially Non-Oscillatory and Weighted Essentially Non-Oscillatory
15	Schemes for Hyperbolic Conservation Laws
16	[NASA/CR-97-206253](https://ntrs.nasa.gov/citations/19980007543)
17	"""
UNCOV 18	function initial_condition_isentropic_vortex(x, t, equations::CompressibleEulerEquations2D)	×
19	# needs appropriate mesh size, e.g. [-10,-10]x[10,10]
20	# for error convergence: make sure that the end time is such that the vortex is back at the initial state!!
21	# for the current velocity and domain size: t_end should be a multiple of 20s
22	# initial center of the vortex
UNCOV 23	RealT = eltype(x)	×
UNCOV 24	inicenter = SVector(0, 0)	×
25	# size and strength of the vortex
UNCOV 26	iniamplitude = 5	×
27	# base flow
UNCOV 28	rho = 1	×
UNCOV 29	v1 = 1	×
UNCOV 30	v2 = 1	×
UNCOV 31	vel = SVector(v1, v2)	×
UNCOV 32	p = convert(RealT, 25)	×
UNCOV 33	rt = p / rho # ideal gas equation	×
UNCOV 34	t_loc = 0	×
UNCOV 35	cent = inicenter + vel * t_loc # advection of center	×
36	# ATTENTION: handle periodic BC, but only for v1 = v2 = 1.0 (!!!!)
UNCOV 37	cent = x - cent # distance to center point	×
38	# cent = cross(iniaxis, cent) # distance to axis, tangent vector, length r
39	# cross product with iniaxis = [0, 0, 1]
UNCOV 40	cent = SVector(-cent[2], cent[1])	×
UNCOV 41	r2 = cent[1]^2 + cent[2]^2	×
UNCOV 42	du = iniamplitude / (2 * convert(RealT, pi)) * exp(0.5f0 * (1 - r2)) # vel. perturbation	×
UNCOV 43	dtemp = -(equations.gamma - 1) / (2 * equations.gamma * rt) * du^2 # isentropic	×
UNCOV 44	rho = rho * (1 + dtemp)^(1 / (equations.gamma - 1))	×
UNCOV 45	vel = vel + du * cent	×
UNCOV 46	v1, v2 = vel	×
UNCOV 47	p = p * (1 + dtemp)^(equations.gamma / (equations.gamma - 1))	×
UNCOV 48	prim = SVector(rho, v1, v2, p)	×
UNCOV 49	return prim2cons(prim, equations)	×
50	end
51	initial_condition = initial_condition_isentropic_vortex
52
53	volume_flux = flux_shima_etal
54	# Up to version 0.13.0, `max_abs_speed_naive` was used as the default wave speed estimate of
55	# `const flux_lax_friedrichs = FluxLaxFriedrichs(), i.e., `FluxLaxFriedrichs(max_abs_speed = max_abs_speed_naive)`.
56	# In the `StepsizeCallback`, though, the less diffusive `max_abs_speeds` is employed which is consistent with `max_abs_speed`.
57	# Thus, we exchanged in PR#2458 the default wave speed used in the LLF flux to `max_abs_speed`.
58	# To ensure that every example still runs we specify explicitly `FluxLaxFriedrichs(max_abs_speed_naive)`.
59	# We remark, however, that the now default `max_abs_speed` is in general recommended due to compliance with the
60	# `StepsizeCallback` (CFL-Condition) and less diffusion.
61	solver = DGSEM(polydeg = 3, surface_flux = FluxLaxFriedrichs(max_abs_speed_naive),
62	volume_integral = VolumeIntegralFluxDifferencing(volume_flux))
63
64	coordinates_min = (-10.0, -10.0)
65	coordinates_max = (10.0, 10.0)
66	refinement_patches = ((type = "box", coordinates_min = (0.0, -10.0),
67	coordinates_max = (10.0, 10.0)),)
68	mesh = TreeMesh(coordinates_min, coordinates_max,
69	initial_refinement_level = 4,
70	refinement_patches = refinement_patches,
71	n_cells_max = 10_000)
72
73	semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver)
74
75	###############################################################################
76	# ODE solvers, callbacks etc.
77
78	tspan = (0.0, 1.0)
79	ode = semidiscretize(semi, tspan)
80
81	summary_callback = SummaryCallback()
82
83	analysis_interval = 100
84	analysis_callback = AnalysisCallback(semi, interval = analysis_interval,
85	save_analysis = true,
86	extra_analysis_errors = (:conservation_error,),
87	extra_analysis_integrals = (entropy, energy_total,
88	energy_kinetic,
89	energy_internal))
90
91	alive_callback = AliveCallback(analysis_interval = analysis_interval)
92
93	save_solution = SaveSolutionCallback(interval = 100,
94	save_initial_solution = true,
95	save_final_solution = true,
96	solution_variables = cons2prim)
97
98	stepsize_callback = StepsizeCallback(cfl = 1.4)
99
100	callbacks = CallbackSet(summary_callback,
101	analysis_callback, alive_callback,
102	save_solution,
103	stepsize_callback)
104
105	###############################################################################
106	# run the simulation
107
108	sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false);
109	dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
110	ode_default_options()..., callback = callbacks);

trixi-framework / Trixi.jl / 21638916092

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous