126 lines
5.0 KiB
Julia
126 lines
5.0 KiB
Julia
@testset "Simulation.jl" begin
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@testset "Constructor" begin
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grid = TUG.Grid{Float64}(5, ones(1, 5))
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boundary = TUG.Boundary{Float64}(grid)
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simulation = TUG.Simulation{Float64}(grid, boundary)
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@test simulation.grid == grid
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@test simulation.bc == boundary
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@test simulation.approach == BTCS
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@test simulation.iterations == 1
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@test simulation.timestep == 0.1
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@test simulation.consoleOutput == CONSOLE_OUTPUT_OFF
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@test simulation.csvOutput == CSV_OUTPUT_OFF
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grid = TUG.Grid{Float64}(5, ones(1, 5))
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boundary = TUG.Boundary{Float64}(grid)
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simulation = TUG.Simulation{Float64}(
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grid,
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boundary;
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approach = FTCS,
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iterations = 2,
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timestep = 0.2,
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consoleOutput = CONSOLE_OUTPUT_ON,
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csvOutput = CSV_OUTPUT_ON,
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)
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@test simulation.grid == grid
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@test simulation.bc == boundary
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@test simulation.approach == FTCS
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@test simulation.iterations == 2
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@test simulation.timestep == 0.2
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@test simulation.consoleOutput == CONSOLE_OUTPUT_ON
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@test simulation.csvOutput == CSV_OUTPUT_ON
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end
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@testset "1D-Run" begin
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grid = TUG.Grid{Float64}(5, ones(1, 5))
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TUG.setConcentrations!(grid, [1.0 1.0 20.0 1.0 1.0])
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boundary = TUG.Boundary{Float64}(grid)
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simulation = TUG.Simulation{Float64}(
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grid,
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boundary;
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approach = BTCS,
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iterations = 20,
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timestep = 0.01,
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)
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TUG.run(simulation)
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expected_concentrations =
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[1.281106278320615 3.5643693033301567 14.309048836698485 3.5643693033301598 1.281106278320616]
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@test isapprox(TUG.getConcentrations(grid), expected_concentrations, atol = 1e-6)
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grid = TUG.Grid{Float64}(5, ones(1, 5))
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TUG.setConcentrations!(grid, [1.0 1.0 20.0 1.0 1.0])
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boundary = TUG.Boundary{Float64}(grid)
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TUG.setBoundarySideConstant!(boundary, LEFT, 5.0)
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simulation = TUG.Simulation{Float64}(
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grid,
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boundary;
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approach = BTCS,
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iterations = 20,
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timestep = 0.01,
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)
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TUG.run(simulation)
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expected_concentrations =
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[2.4416160635284823 3.6810808789967466 14.317333805802393 3.5648326408458035 1.2811288426376255]
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@test isapprox(TUG.getConcentrations(grid), expected_concentrations, atol = 1e-6)
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end
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@testset "2D-Run" begin
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grid = TUG.Grid{Float64}(5, 5, ones(5, 5), ones(5, 5))
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TUG.setConcentrations!(
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grid,
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[
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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],
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)
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boundary = TUG.Boundary{Float64}(grid)
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simulation = TUG.Simulation{Float64}(
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grid,
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boundary;
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approach = BTCS,
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iterations = 20,
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timestep = 0.01,
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)
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TUG.run(simulation)
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expected_concentrations = [
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1.141904802011076 3.591390417498421 14.249599956958917 3.5913904174984217 1.1419048020110782
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1.1419048020110738 3.5913904174984173 14.2495999569589 3.5913904174984177 1.1419048020110767
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1.1419048020110725 3.591390417498413 14.249599956958875 3.5913904174984137 1.1419048020110751
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1.1419048020110738 3.5913904174984164 14.249599956958901 3.5913904174984173 1.141904802011077
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1.1419048020110774 3.5913904174984297 14.24959995695894 3.5913904174984297 1.1419048020110796
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]
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@test isapprox(TUG.getConcentrations(grid), expected_concentrations, atol = 1e-6)
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grid = TUG.Grid{Float64}(5, 5, ones(5, 5), ones(5, 5))
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TUG.setConcentrations!(
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grid,
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[
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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1.0 1.0 20.0 1.0 1.0
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],
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)
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boundary = TUG.Boundary{Float64}(grid)
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TUG.setBoundarySideConstant!(boundary, LEFT, 5.0)
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simulation = TUG.Simulation{Float64}(
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grid,
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boundary;
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approach = BTCS,
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iterations = 20,
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timestep = 0.01,
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)
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TUG.run(simulation)
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expected_concentrations = [
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2.116922560959072 3.6843335107065727 14.255652775906785 3.5916901126508205 1.141911092414447
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2.1169225609590687 3.684333510706568 14.255652775906759 3.5916901126508134 1.1419110924144453
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2.1169225609590674 3.6843335107065607 14.255652775906748 3.591690112650811 1.1419110924144442
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2.1169225609590687 3.684333510706565 14.255652775906766 3.5916901126508147 1.1419110924144449
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2.116922560959073 3.684333510706576 14.25565277590681 3.5916901126508267 1.141911092414448
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]
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@test isapprox(TUG.getConcentrations(grid), expected_concentrations, atol = 1e-6)
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end
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end
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