same as example 150 but with two species and a different system. This time the exact solution is not known, thus we compare with finite-difference approximation of the impedance. PDE system on x∈(0,L): C∂ₜu₁ - ∂ₓ(D∂ₓ(u₁u₂)) + (Ru₁u₂ - u₂) = 0 C∂ₜu₂ - ∂ₓ(D∂ₓu₂) + Ru₁u₂ = 0 consistent with VoronoiFVM convention ∂ₜs(u)+∇⋅j(u)+r(u)=0 and diffusion flux j=-D∇(⋅). Boundary conditions used here: Dirichlet: u₂(0,t)=1, u₁(0,t)=excitation(t), u₁(L,t)=0 Neumann (natural, zero flux): D∂ₓu₂(L,t)=0

module Example152_Impedance_Multispeciesusing VoronoiFVMusing ExtendableGrids: geomspace, simplexgrid, num_nodesusing GridVisualizeusing OrdinaryDiffEqSDIRKusing Printffunction main(;        nref = 0,        Plotter = nothing,        verbose = false,        unknown_storage = :sparse,        assembly = :edgewise,        L = 1.0, R = 1.0, D = 1.0, C = 1.0,        ω0 = 1.0e-3, ω1 = 5.0e1,        ω_incfactor = 1.1,        N_preliminary_periods::I = 2,        Ndt::I = 300,        fdtest::Bool = false    ) where {I <: Integer}    @assert N_preliminary_periods >= 0 "preliminary periods should be non-negative"    @assert Ndt > 10 "Ndt should be at least 10 to have a reasonable sampling of the period"

Create array which is refined close to 0

    h0 = 0.005 / 2.0^nref    h1 = 0.1 / 2.0^nref    X = geomspace(0, L, h0, h1)

Create discretization grid

    grid = simplexgrid(X)

Create and fill data

    data = (R = R, D = D, C = C)

Declare constitutive functions

    flux = function (f, u, edge, data)        f[1] = data.D * (u[1, 1] * u[2, 1] - u[1, 2] * u[2, 2])        return f[2] = data.D * (u[2, 1] - u[2, 2])    end    storage = function (f, u, node, data)        f[1] = data.C * u[1]        return f[2] = data.C * u[2]    end    reaction = function (f, u, node, data)        f[1] = data.R * u[1] * u[2] - u[2]        return f[2] = data.R * u[2] * u[1]    end    excited_bc = 1    excited_bcval = 1.0    excited_spec = 1    meas_bc = 2    bc = function (f, u, node, data)        p = parameters(u)        boundary_dirichlet!(f, u, node; species = 2, region = 1, value = 1.0)        boundary_dirichlet!(f, u, node; species = 1, region = excited_bc, value = p[1])        return boundary_dirichlet!(f, u, node; species = 1, region = meas_bc, value = 0.0)    end    sys = VoronoiFVM.System(        grid; unknown_storage = unknown_storage,        data = data,        flux = flux,        storage = storage,        reaction = reaction,        bcondition = bc,        nparams = 1,        assembly = assembly    )    enable_species!(sys, 1, [1])    enable_species!(sys, 2, [1])    factory = TestFunctionFactory(sys)    measurement_testfunction = testfunction(factory, [excited_bc], [meas_bc])    steadystate = solve(sys; inival = 1.0, params = [1.0])    function meas_stdy(meas, U)        if !(typeof(U) <: AbstractMatrix)            u = reshape(U, sys)        else            u = U        end        meas[1] = -VoronoiFVM.integrate_stdy(sys, measurement_testfunction, u, params = [1.0])[excited_spec]        return nothing    end    function meas_tran(meas, U)        if !(typeof(U) <: AbstractMatrix)            u = reshape(U, sys)        else            u = U        end        meas[1] = -VoronoiFVM.integrate_tran(sys, measurement_testfunction, u, params = [1.0])[excited_spec]        return nothing    end    dmeas_stdy = measurement_derivative(sys, meas_stdy, steadystate)    dmeas_tran = measurement_derivative(sys, meas_tran, steadystate)    meas_tran_ref = zeros(1)    meas_stdy_ref = zeros(1)    meas_cos = zeros(1)    meas_sin = zeros(1)    meas_tran(meas_tran_ref, steadystate)    meas_stdy(meas_stdy_ref, steadystate)

Create impedance system from steady state

    isys = VoronoiFVM.ImpedanceSystem(sys, steadystate)

Prepare recording of impedance results

    allomega = zeros(0)

for calculated data

    allI0 = zeros(Complex{Float64}, 0)    allIL = zeros(Complex{Float64}, 0)

for exact data

    allIx0 = zeros(Complex{Float64}, 0)    allIxL = zeros(Complex{Float64}, 0)    ω = ω0    UZ = unknowns(isys)    outflux_ref = zeros(2)    outflux_cos = zeros(2)    outflux_sin = zeros(2)    nnodes = num_nodes(grid)    lastedge = (nnodes - 1):nnodes    @views flux(outflux_ref, steadystate[:, lastedge], nothing, data)    while ω < ω1

solve impedance system

        solve!(UZ, isys, ω)

calculate approximate solution obtain measurement in frequency domain

        IL = impedance(isys, ω, steadystate, dmeas_stdy, dmeas_tran)

record approximate solution

        push!(allomega, ω)        push!(allIL, IL)        if fdtest

compute reference using finite difference approximation

            amplitude = 1.0e-6            data_perturbed = (R = R, D = D, C = C, ω = ω)            #change boundary condition to reflect the perturbation            bc_cos = function (f, u, node, data)                p = parameters(u)                boundary_dirichlet!(f, u, node; species = 2, region = 1, value = 1.0)                boundary_dirichlet!(f, u, node; species = 1, region = excited_bc, value = 1 + amplitude * cos(data.ω * node.time))                return boundary_dirichlet!(f, u, node; species = 1, region = meas_bc, value = 0.0)            end            sys_cos = VoronoiFVM.System(                grid; unknown_storage = unknown_storage,                data = data_perturbed,                flux = flux,                storage = storage,                reaction = reaction,                bcondition = bc_cos,                nparams = 0, #we no longer track derivative with respect to parameters                assembly = assembly            )            enable_species!(sys_cos, 1, [1])            enable_species!(sys_cos, 2, [1])            #same for the sine perturbation            bc_sin = function (f, u, node, data)                p = parameters(u)                boundary_dirichlet!(f, u, node; species = 2, region = 1, value = 1.0)                boundary_dirichlet!(f, u, node; species = 1, region = excited_bc, value = 1 + amplitude * sin(data.ω * node.time))                return boundary_dirichlet!(f, u, node; species = 1, region = meas_bc, value = 0.0)            end            sys_sin = VoronoiFVM.System(                grid; unknown_storage = unknown_storage,                data = data_perturbed,                flux = flux,                storage = storage,                reaction = reaction,                bcondition = bc_sin,                nparams = 0,                assembly = assembly            )            enable_species!(sys_sin, 1, [1])            enable_species!(sys_sin, 2, [1])            dt = (2 * π / ω) / (Ndt - 1.0e-8) # without the perturbation we end up sometimes with one extra time step at the end.            tend = (N_preliminary_periods + 1) * 2 * π / ω

Compute a sufficiently long transient and evaluate the impedance on the last period.

            tsol_cos = solve(                sys_cos; inival = steadystate, times = (0.0, tend), force_first_step = true,                control = VoronoiFVM.SolverControl(Δt_max = dt, Δt_min = dt, Δt = dt, Δu_opt = 1.0e10)            )            tsol_sin = solve(                sys_sin; inival = steadystate, times = (0.0, tend), force_first_step = true,                control = VoronoiFVM.SolverControl(Δt_max = dt, Δt_min = dt, Δt = dt, Δu_opt = 1.0e10)            )            @assert length(tsol_cos.t) >= Ndt "Need at least Ndt points to sample last period"            @assert length(tsol_sin.t) == length(tsol_cos.t) "Cos and sin solutions should have the same time points"            #and use the results to compute the impedance using finite difference approximation            time_impedance = zeros(ComplexF64, Ndt)            j_last_period = length(tsol_cos.t) - Ndt            for i in 1:Ndt                j = j_last_period + i                time = tsol_cos.t[j]                @assert isapprox(time, tsol_sin.t[j], rtol = 1.0e-5)                u_cos = tsol_cos.u[j]                u_sin = tsol_sin.u[j]                #compute flux at the boundary for both solutions and subtract the reference flux to get the flux perturbation                endcos = view(u_cos, :, lastedge)                endsin = view(u_sin, :, lastedge)                flux(outflux_cos, endcos, nothing, data)                flux(outflux_sin, endsin, nothing, data)                outflux_cos .-= outflux_ref                outflux_sin .-= outflux_ref                tau = 1 / (X[end] - X[end - 1])                time_impedance[i] = (outflux_cos[1] * tau + 1im * outflux_sin[1] * tau) / (amplitude * exp(1im * ω * time))            end            IxL = length(time_impedance) / sum(time_impedance)            if verbose                ratio = IL / IxL                @printf(                    "Finite difference approximation of impedance at ω = %10.5g: %10.5g%+10.5gi, calculated impedance: %10.5g%+10.5gi, ratio distance to one: %10.5g\n",                    ω,                    real(IxL), imag(IxL),                    real(IL), imag(IL),                    abs(ratio - 1.0)                )            end            push!(allIxL, IxL)        end

increase omega

        ω = ω * ω_incfactor    end    vis = GridVisualizer(; Plotter = Plotter, legend = :rt)    if fdtest        scalarplot!(            vis, real(allIxL), imag(allIxL); label = "finite difference", color = :red, linestyle = :dot        )    end    scalarplot!(        vis, real(allIL), imag(allIL); label = "calc", show = true, clear = false, color = :blue, linestyle = :solid    )    if fdtest        println("Ratio of calculated impedance to finite difference impedance, should be close to one: ")        avg_ratio = sum(allIL ./ allIxL) / length(allomega)        @printf("Minimum distance to one: %.3e, Average value: %.3g%+.3gi, Maximum distance to one: %.3e\n", minimum(abs.(allIL ./ allIxL .- 1)), real(avg_ratio), imag(avg_ratio), maximum(abs.(allIL ./ allIxL .- 1)))        #@show minimum(abs.(allIL ./ allIxL)), sum(allIL ./ allIxL) / length(allomega), maximum(abs.(allIL ./ allIxL))    end    return sum(allIL)endusing Testfunction runtests()    testval = 50.960361928838 + 4.510584656768053im    for unknown_storage in (:sparse, :dense)        for assembly in (:edgewise, :cellwise)            @test main(; unknown_storage, assembly) ≈ testval        end    end    returnendend #end of module

This page was generated using Literate.jl.