Add Literate docs for advection-diffusion (#1208)

* adding literate docs for advection-diffusion

* Apply suggestions from code review

Co-authored-by: Hendrik Ranocha <[email protected]>

* rename "adding parabolic terms" -> "parabolic terms"

Co-authored-by: Hendrik Ranocha <[email protected]>

docs/literate/src/files/parabolic_terms.jl

@@ -0,0 +1,88 @@
+#src # Adding parabolic terms (advection-diffusion).
+
+# Experimental support for parabolic diffusion terms is available in Trixi.jl.
+# This demo illustrates parabolic terms for the advection-diffusion equation.
+
+using OrdinaryDiffEq
+using Trixi
+
+# ## Splitting a system into hyperbolic and parabolic parts.
+
+# For a mixed hyperbolic-parabolic system, we represent the hyperbolic and parabolic
+# parts of the system  separately. We first define the hyperbolic (advection) part of
+# the advection-diffusion equation.
+
+advection_velocity = (1.5, 1.0)
+equations_hyperbolic = LinearScalarAdvectionEquation2D(advection_velocity);
+
+# Next, we define the parabolic diffusion term. The constructor requires knowledge of
+# `equations_hyperbolic` to be passed in because the [`LaplaceDiffusion2D`](@ref) applies
+# diffusion to every variable of the hyperbolic system.
+
+diffusivity = 5.0e-2
+equations_parabolic = LaplaceDiffusion2D(diffusivity, equations_hyperbolic);
+
+# ## Boundary conditions
+
+# As with the equations, we define boundary conditions separately for the hyperbolic and
+# parabolic part of the system. For this example, we impose inflow BCs for the hyperbolic
+# system (no condition is imposed on the outflow), and we impose Dirichlet boundary conditions
+# for the parabolic equations. Both `BoundaryConditionDirichlet` and `BoundaryConditionNeumann`
+# are defined for `LaplaceDiffusion2D`.
+#
+# The hyperbolic and parabolic boundary conditions are assumed to be consistent with each other.
+
+boundary_condition_zero_dirichlet = BoundaryConditionDirichlet((x, t, equations) -> SVector(0.0))
+
+boundary_conditions_hyperbolic = (; x_neg = BoundaryConditionDirichlet((x, t, equations) -> SVector(1 + 0.5 * x[2])),
+                                    y_neg = boundary_condition_zero_dirichlet,
+                                    y_pos = boundary_condition_zero_dirichlet,
+                                    x_pos = boundary_condition_do_nothing)
+
+boundary_conditions_parabolic = (; x_neg = BoundaryConditionDirichlet((x, t, equations) -> SVector(1 + 0.5 * x[2])),
+                                   y_neg = boundary_condition_zero_dirichlet,
+                                   y_pos = boundary_condition_zero_dirichlet,
+                                   x_pos = boundary_condition_zero_dirichlet);
+
+# ## Defining the solver and mesh
+
+# The process of creating the DG solver and mesh is the same as for a purely
+# hyperbolic system of equations.
+
+solver = DGSEM(polydeg=3, surface_flux=flux_lax_friedrichs)
+coordinates_min = (-1.0, -1.0) # minimum coordinates (min(x), min(y))
+coordinates_max = ( 1.0,  1.0) # maximum coordinates (max(x), max(y))
+mesh = TreeMesh(coordinates_min, coordinates_max,
+                initial_refinement_level=4,
+                periodicity=false, n_cells_max=30_000) # set maximum capacity of tree data structure
+
+initial_condition = (x, t, equations) -> SVector(0.0);
+
+# ## Semidiscretizing and solving
+
+# To semidiscretize a hyperbolic-parabolic system, we create a [`SemidiscretizationHyperbolicParabolic`](@ref).
+# This differs from a [`SemidiscretizationHyperbolic`](@ref) in that we pass in a `Tuple` containing both the
+# hyperbolic and parabolic equation, as well as a `Tuple` containing the hyperbolic and parabolic
+# boundary conditions.
+
+semi = SemidiscretizationHyperbolicParabolic(mesh,
+                                             (equations_hyperbolic, equations_parabolic),
+                                             initial_condition, solver;
+                                             boundary_conditions=(boundary_conditions_hyperbolic,
+                                                                  boundary_conditions_parabolic))
+
+# The rest of the code is identical to the hyperbolic case. We create a system of ODEs through
+# `semidiscretize`, defining callbacks, and then passing the system to OrdinaryDiffEq.jl.
+
+tspan = (0.0, 1.5)
+ode = semidiscretize(semi, tspan)
+callbacks = CallbackSet(SummaryCallback())
+time_int_tol = 1.0e-6
+sol = solve(ode, RDPK3SpFSAL49(), abstol=time_int_tol, reltol=time_int_tol,
+            save_everystep=false, callback=callbacks);
+
+# We can now visualize the solution, which develops a boundary layer at the outflow boundaries.
+
+using Plots
+plot(sol)
+

docs/make.jl

@@ -39,6 +39,7 @@ files = [
     # Topic: equations
     "Adding a new scalar conservation law" => "adding_new_scalar_equations.jl",
     "Adding a non-conservative equation" => "adding_nonconservative_equation.jl",
+    "Parabolic terms" => "parabolic_terms.jl",
     # Topic: meshes
     "Adaptive mesh refinement" => "adaptive_mesh_refinement.jl",
     "Structured mesh with curvilinear mapping" => "structured_mesh_mapping.jl",