diff --git a/Manifest.toml b/Manifest.toml index f349bb7..cb6566d 100644 --- a/Manifest.toml +++ b/Manifest.toml @@ -2,22 +2,96 @@ julia_version = "1.9.4" manifest_format = "2.0" -project_hash = "a52433223847df22e7a48359808fd13703c14ae3" +project_hash = "769c115d90c169bb71a4d908c74a0fc60cd83509" + +[[deps.Adapt]] +deps = ["LinearAlgebra", "Requires"] +git-tree-sha1 = "6a55b747d1812e699320963ffde36f1ebdda4099" +uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e" +version = "4.0.4" +weakdeps = ["StaticArrays"] + + [deps.Adapt.extensions] + AdaptStaticArraysExt = "StaticArrays" + +[[deps.ArgTools]] +uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f" +version = "1.1.1" [[deps.Artifacts]] uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33" +[[deps.AxisAlgorithms]] +deps = ["LinearAlgebra", "Random", "SparseArrays", "WoodburyMatrices"] +git-tree-sha1 = "01b8ccb13d68535d73d2b0c23e39bd23155fb712" +uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950" +version = "1.1.0" + +[[deps.Base64]] +uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f" + +[[deps.BitFlags]] +git-tree-sha1 = "2dc09997850d68179b69dafb58ae806167a32b1b" +uuid = "d1d4a3ce-64b1-5f1a-9ba4-7e7e69966f35" +version = "0.1.8" + +[[deps.Bzip2_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] +git-tree-sha1 = "9e2a6b69137e6969bab0152632dcb3bc108c8bdd" +uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0" +version = "1.0.8+1" + +[[deps.Cairo_jll]] +deps = ["Artifacts", "Bzip2_jll", "CompilerSupportLibraries_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"] +git-tree-sha1 = "a2f1c8c668c8e3cb4cca4e57a8efdb09067bb3fd" +uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a" +version = "1.18.0+2" + [[deps.ChainRulesCore]] deps = ["Compat", "LinearAlgebra"] git-tree-sha1 = "71acdbf594aab5bbb2cec89b208c41b4c411e49f" uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4" version = "1.24.0" +weakdeps = ["SparseArrays"] [deps.ChainRulesCore.extensions] ChainRulesCoreSparseArraysExt = "SparseArrays" - [deps.ChainRulesCore.weakdeps] - SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf" +[[deps.CodecZlib]] +deps = ["TranscodingStreams", "Zlib_jll"] +git-tree-sha1 = "59939d8a997469ee05c4b4944560a820f9ba0d73" +uuid = "944b1d66-785c-5afd-91f1-9de20f533193" +version = "0.7.4" + +[[deps.ColorSchemes]] +deps = ["ColorTypes", "ColorVectorSpace", "Colors", "FixedPointNumbers", "PrecompileTools", "Random"] +git-tree-sha1 = "4b270d6465eb21ae89b732182c20dc165f8bf9f2" +uuid = "35d6a980-a343-548e-a6ea-1d62b119f2f4" +version = "3.25.0" + +[[deps.ColorTypes]] +deps = ["FixedPointNumbers", "Random"] +git-tree-sha1 = "b10d0b65641d57b8b4d5e234446582de5047050d" +uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f" +version = "0.11.5" + +[[deps.ColorVectorSpace]] +deps = ["ColorTypes", "FixedPointNumbers", "LinearAlgebra", "Requires", "Statistics", "TensorCore"] +git-tree-sha1 = "a1f44953f2382ebb937d60dafbe2deea4bd23249" +uuid = "c3611d14-8923-5661-9e6a-0046d554d3a4" +version = "0.10.0" + + [deps.ColorVectorSpace.extensions] + SpecialFunctionsExt = "SpecialFunctions" + + [deps.ColorVectorSpace.weakdeps] + SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b" + +[[deps.Colors]] +deps = ["ColorTypes", "FixedPointNumbers", "Reexport"] +git-tree-sha1 = "362a287c3aa50601b0bc359053d5c2468f0e7ce0" +uuid = "5ae59095-9a9b-59fe-a467-6f913c188581" +version = "0.12.11" [[deps.Compat]] deps = ["TOML", "UUIDs"] @@ -34,37 +108,595 @@ deps = ["Artifacts", "Libdl"] uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae" version = "1.0.5+0" +[[deps.ConcurrentUtilities]] +deps = ["Serialization", "Sockets"] +git-tree-sha1 = "6cbbd4d241d7e6579ab354737f4dd95ca43946e1" +uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb" +version = "2.4.1" + +[[deps.Contour]] +git-tree-sha1 = "439e35b0b36e2e5881738abc8857bd92ad6ff9a8" +uuid = "d38c429a-6771-53c6-b99e-75d170b6e991" +version = "0.6.3" + +[[deps.DataAPI]] +git-tree-sha1 = 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"d8fb68d0-12a3-5cfd-a85a-d49703b185fd" +version = "1.4.1+1" diff --git a/Project.toml b/Project.toml index 5be1f28..305baaa 100644 --- a/Project.toml +++ b/Project.toml @@ -4,7 +4,10 @@ authors = ["Warisa and contributors"] version = "1.0.0-DEV" [deps] +Interpolations = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59" +Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" ShockwaveProperties = "77d2bf28-a3e9-4b9c-9fcf-b85f74cc8a50" +Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d" [compat] julia = "1.9" diff --git a/examples/1D_shock_scenario1_detection.jl b/examples/1D_shock_scenario1_detection.jl index ba2f2e0..8042740 100644 --- a/examples/1D_shock_scenario1_detection.jl +++ b/examples/1D_shock_scenario1_detection.jl @@ -1 +1,11 @@ -using ShockwaveDetection \ No newline at end of file +using ShockwaveDetection + +x0_xmax, t_values, u_values, dims_u = read_output_file("examples/data/euler_scenario_1.out") +density_field, velocity_field, pressure_field = convert_to_primitive(u_values) + +# Plot the animation of the properties over time +anim = create_wave_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) + +#Plot the shock create_wave_animation +shock_positions_over_time = detect_shock(density_field, velocity_field, pressure_field, x0_xmax, t_values) +anim_with_shock = create_wave_animation_with_shock(x0_xmax, t_values, density_field, velocity_field, pressure_field, shock_positions_over_time) \ No newline at end of file diff --git a/examples/1D_shock_scenario2_detection.jl b/examples/1D_shock_scenario2_detection.jl index ba2f2e0..1e70f61 100644 --- a/examples/1D_shock_scenario2_detection.jl +++ b/examples/1D_shock_scenario2_detection.jl @@ -1 +1,11 @@ -using ShockwaveDetection \ No newline at end of file +using ShockwaveDetection + +x0_xmax, t_values, u_values, dims_u = read_output_file("examples/data/euler_scenario_2.out") +density_field, velocity_field, pressure_field = convert_to_primitive(u_values) + +# Plot the animation of the properties over time +anim = create_wave_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) + +#Plot the shock create_wave_animation +shock_positions_over_time = detect_shock(density_field, velocity_field, pressure_field, x0_xmax, t_values) +anim_with_shock = create_wave_animation_with_shock(x0_xmax, t_values, density_field, velocity_field, pressure_field, shock_positions_over_time) \ No newline at end of file diff --git a/src/ShockwaveDetection.jl b/src/ShockwaveDetection.jl index 24daef8..af26bbb 100644 --- a/src/ShockwaveDetection.jl +++ b/src/ShockwaveDetection.jl @@ -1,5 +1,16 @@ module ShockwaveDetection -# Write your package code here. +export write_output +export read_output_file +export convert_to_primitive +export detect_shock +export create_wave_animation, create_wave_animation_with_shock + + +include("dummy.jl") +include("input.jl") +include("variable_utils.jl") +include("detect_shock.jl") +include("visualize.jl") end diff --git a/src/detect_shock.jl b/src/detect_shock.jl index 81ad868..996d12b 100644 --- a/src/detect_shock.jl +++ b/src/detect_shock.jl @@ -1,9 +1,5 @@ -include("visualize.jl") - # Use Interpolations.jl to perform np.gradient-like operations -using Interpolations - -using StatsPlots +using Interpolations: interpolate, Gridded, Linear, gradient # Function to compute gradients using Interpolations.jl # without explicit function definition @@ -11,25 +7,19 @@ function compute_gradients(arr::AbstractVector, x) # Convert StepRangeLen to LinRange because that's what Interpolations.jl expects x_linrange = LinRange(first(x), last(x), length(x)) itp = interpolate((x_linrange,), arr, Gridded(Linear())) - grad = only.(Interpolations.gradient.(Ref(itp), x_linrange)) + grad = only.(gradient.(Ref(itp), x_linrange)) return grad end -# Function to compute zero crossings, detecting points where the second derivative changes sign\ -# suggesting a potential shock -function zero_crossings(arr) - return [i for i in 2:length(arr) if arr[i-1] * arr[i] < 0] -end - # Function to detect shock locations at a given time step -function detect_shocks_at_timestep(density_at_t, velocity_at_t, pressure_at_t, x) +function detect_shocks_at_timestep(density_at_t, velocity_at_t, pressure_at_t, x, threshold) + # Compute first gradients density_grad = compute_gradients(density_at_t, x) velocity_grad = compute_gradients(velocity_at_t, x) pressure_grad = compute_gradients(pressure_at_t, x) # Find points where the gradient exceeds a certain threshold - threshold = 0.5 # Adjust this threshold as needed shock_location_density = findall(gradient -> abs(gradient) > threshold, density_grad) shock_location_velocity = findall(gradient -> abs(gradient) > threshold, velocity_grad) shock_location_pressure = findall(gradient -> abs(gradient) > threshold, pressure_grad) @@ -40,38 +30,40 @@ function detect_shocks_at_timestep(density_at_t, velocity_at_t, pressure_at_t, x return shock_locations end -# Read the data -x0_xmax, t_values, u_values, dims_u = read_output_file("C:/Users/user/Documents/School/Sem4/softwareentwicklungspraktikum/shock_wave_detection/ShockwaveProperties.jl/example/data/euler_scenario_2.out") -x = range(x0_xmax[1], stop=x0_xmax[2], length=dims_u[2]) -density_field, velocity_field, pressure_field = convert_to_primitive(u_values) +""" + detect_shock(density_field, velocity_field, pressure_field, x0_xmax, t_values; threshold=0.5) -# Detect shocks for each time step and store the positions -shock_positions_over_time = [] +Detects shock positions over time based on given density, velocity, and pressure fields. -for t_step in 1: length(t_values) - density_field_t = density_field[:, t_step] - velocity_field_t = velocity_field[:, t_step] - pressure_field_t = pressure_field[:, t_step] - shock_positions = detect_shocks_at_timestep(density_field_t,velocity_field_t,pressure_field_t, x) - push!(shock_positions_over_time, shock_positions) -end +# Arguments +- `density_field::Matrix`: Matrix representing the density field over space and time. +- `velocity_field::Matrix`: Matrix representing the velocity field over space and time. +- `pressure_field::Matrix`: Matrix representing the pressure field over space and time. +- `x0_xmax::Tuple`: Tuple containing the start and end positions of the spatial domain. +- `t_values::Vector`: Vector containing time values. +- `threshold::Float64`: Threshold value for detecting shocks. Default is `0.5`. -# Create an animation -anim = @animate for (t_step, t) in enumerate(t_values) - p1 = plot(x, density_field[:, t_step], title="Density at Time $t", xlabel="x", ylabel="Density", label = "Density across x", size=(800, 600)) - p2 = plot(x, velocity_field[:, t_step], title="Velocity at Time $t", xlabel="x", ylabel="Velocity", label = "Velocity across x", size=(800, 600)) - p3 = plot(x, pressure_field[:, t_step], title="Pressure at Time $t", xlabel="x", ylabel="Pressure", label = "Pressure across x", size=(800, 600)) +# Returns +- `shock_positions_over_time::Vector`: Vector containing shock positions at each time step. + +# Details +This function iterates over each time step and detects shock positions using the `detect_shocks_at_timestep` function. + +""" +function detect_shock(density_field, velocity_field, pressure_field, x0_xmax, t_values; threshold = 0.5) + len_x = size(density_field, 1) + x = range(x0_xmax[1], stop=x0_xmax[2], length=len_x) + + shock_positions_over_time = [] - # Add markers for the shock positions - shock_positions_t = shock_positions_over_time[t_step] - for pos in shock_positions_t - scatter!(p1, [x[pos]], [density_field[pos, t_step]], color=:red, label=false) - scatter!(p2, [x[pos]], [velocity_field[pos, t_step]], color=:red, label=false) - scatter!(p3, [x[pos]], [pressure_field[pos, t_step]], color=:red, label=false) + for t_step in 1:length(t_values) + density_field_t = density_field[:, t_step] + velocity_field_t = velocity_field[:, t_step] + pressure_field_t = pressure_field[:, t_step] + + shock_positions = detect_shocks_at_timestep(density_field_t, velocity_field_t, pressure_field_t, x, threshold) + push!(shock_positions_over_time, shock_positions) end - plot(p1, p2, p3, layout = (3, 1)) -end - -# Save the animation as a gif -gif(anim, "shock_over_time.gif", fps = 10) \ No newline at end of file + return shock_positions_over_time +end \ No newline at end of file diff --git a/src/dummy.jl b/src/dummy.jl new file mode 100644 index 0000000..a4d265a --- /dev/null +++ b/src/dummy.jl @@ -0,0 +1,3 @@ +function write_output() + return "Hello from Julia!" +end \ No newline at end of file diff --git a/src/input.jl b/src/input.jl new file mode 100644 index 0000000..825f83b --- /dev/null +++ b/src/input.jl @@ -0,0 +1,48 @@ +""" + read_output_file(filename) + +Reads data from an output file. + +# Arguments +- `filename::String`: The path to the output file. + +# Returns +- `x0_xmax::Vector{Float64}`: A vector containing the first and last x values. +- `t_values::Vector{Float64}`: A vector containing the time values. +- `u_values::Array{Float64, 3}`: A 3D array containing the u values. +- `dims_u::Vector{Int}`: A vector containing the dimensions of the u values (N_u x N_x). + +This function reads data from the specified output file generated from 1d_plots.jl that use Euler2D.jl to solve, which is assumed to have a specific format. +It reads the dimensions of the u values, the first and last x values, the number of time steps, the time values, and the u values themselves. +It reshapes the u values into a 3D array and returns all the read data. +""" +function read_output_file(filename) + open(filename, "r") do f + dims_u = Vector{Int}(undef, 2) + read!(f, dims_u) + + # Read the first and last x values + x0_xmax = Vector{Float64}(undef, 2) + read!(f, x0_xmax) + + # Read the number of time steps + num_timesteps = Vector{Int}(undef, 1) + read!(f, num_timesteps) + + # Read the time values + t_values = Vector{Float64}(undef, num_timesteps[1]) + read!(f, t_values) + + # Read the u values + u_values = Vector{Float64}(undef, prod(dims_u)*num_timesteps[1]) + read!(f, u_values) + + + # Reshape u_values to a 3D array + u_values = reshape(u_values, dims_u[1], dims_u[2], num_timesteps[1]) # N_u x N_x x N_t as u a vector of 3 is written in range of x according to each time step + + + return x0_xmax, t_values, u_values, dims_u + end +end + diff --git a/src/variable_utils.jl b/src/variable_utils.jl new file mode 100644 index 0000000..cc53bf8 --- /dev/null +++ b/src/variable_utils.jl @@ -0,0 +1,42 @@ +using ShockwaveProperties: primitive_state_vector, pressure, speed_of_sound, DRY_AIR +using Unitful: ustrip + +""" + convert_to_primitive(u_values) + +Converts conserved state variables to primitive variables. + +# Arguments +- `u_values::Array{Float64, 3}`: A 3D array containing the conserved state variables (density, momentum, total energy) at each point x and time t. + +# Returns +- `density_field::Array{Float64, 2}`: A 2D array containing the density field. +- `velocity_field::Array{Float64, 2}`: A 2D array containing the velocity field. +- `pressure_field::Array{Float64, 2}`: A 2D array containing the pressure field. + +Euler equations are typically represented in a "conserved" form, where the vector u contains (density, momentum, total energy) at each point x and time t. This function converts these conserved state variables to primitive variables (density, velocity, pressure) in order to calculate delta1 and delta2 according to [6]. + +The `u_values` parameter is a 3D array representing the conserved state variables at each point x and time t. This function iterates over each time step and calculates the primitive state vector for density, velocity, and pressure using appropriate transformations. The resulting primitive variables are stored in separate arrays `density_field`, `velocity_field`, and `pressure_field`, and returned. +""" +function convert_to_primitive(u_values) + u_prim = zeros(size(u_values)) + for i in 1:size(u_values, 2) + for j in 1:size(u_values, 3) + # primitive_state_vector returns value without units + u_p_M_T = primitive_state_vector(u_values[:, i, j]; gas=DRY_AIR) + p_u = pressure(u_p_M_T[1], u_p_M_T[3]; gas=DRY_AIR) + # Store density + u_prim[1, i, j] = u_p_M_T[1] + # Convert Mach to m/s using speed_of_sound + u_prim[2, i, j] = u_p_M_T[2] * ustrip(speed_of_sound(u_p_M_T[3]; gas=DRY_AIR)) + # Strip the unit of pressure so that it can be stored in an empty array + u_prim[3, i, j] = ustrip(p_u) + end + end + + # Extract the density, velocity, and pressure fields + density_field = u_prim[1, :, :] + velocity_field = u_prim[2, :, :] + pressure_field = u_prim[3, :, :] + return density_field, velocity_field, pressure_field +end diff --git a/src/visualize.jl b/src/visualize.jl index 36d8b74..c687715 100644 --- a/src/visualize.jl +++ b/src/visualize.jl @@ -1,86 +1,80 @@ +# Since @animate is a macro from the Plots.jl package, we cannot specify importing it in the module. using Plots -using FFMPEG -using ShockwaveProperties: primitive_state_vector, pressure, speed_of_sound, DRY_AIR -using Unitful: Pa, ustrip -function read_output_file(filename) - open(filename, "r") do f - dims_u = Vector{Int}(undef, 2) - read!(f, dims_u) +""" + create_wave_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) - # Read the first and last x values - x0_xmax = Vector{Float64}(undef, 2) - read!(f, x0_xmax) +Create an animation of density, velocity, and pressure fields over time. - # Read the number of time steps - num_timesteps = Vector{Int}(undef, 1) - read!(f, num_timesteps) - - # Read the time values - t_values = Vector{Float64}(undef, num_timesteps[1]) - read!(f, t_values) - - # Read the u values - u_values = Vector{Float64}(undef, prod(dims_u)*num_timesteps[1]) - read!(f, u_values) +# Arguments +- `x0_xmax::Tuple{Float64, Float64}`: A tuple containing the minimum and maximum x values. +- `t_values::Array{Float64}`: An array of time values. +- `density_field::Array{Float64, 2}`: A 2D array representing the density field. Each column represents the density at a different time. +- `velocity_field::Array{Float64, 2}`: A 2D array representing the velocity field. Each column represents the velocity at a different time. +- `pressure_field::Array{Float64, 2}`: A 2D array representing the pressure field. Each column represents the pressure at a different time. +# Returns +- This function saves an animation as a gif file named "density_velocity_pressure_over_time.gif" in the current directory and returns nothing. +""" +function create_wave_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) + # Create a range of x values + x = range(x0_xmax[1], stop=x0_xmax[2], length=size(density_field, 1)) - # Reshape u_values to a 3D array - u_values = reshape(u_values, dims_u[1], dims_u[2], num_timesteps[1]) # N_u x N_x x N_t as u a vector of 3 is written in range of x according to each time step + # Create an animation + anim = @animate for (i, t) in enumerate(t_values) + p1 = plot(x, density_field[:, i], title="Density at Time $t", xlabel="x", ylabel="Density(kg/m^3)", label="Density across x", size=(800, 600)) + p2 = plot(x, velocity_field[:, i], title="Velocity at Time $t", xlabel="x", ylabel="Velocity(m/s)", label="Velocity across x", size=(800, 600)) + p3 = plot(x, pressure_field[:, i], title="Pressure at Time $t", xlabel="x", ylabel="Pressure(Pa)", label="Pressure across x", size=(800, 600)) + plot(p1, p2, p3, layout=(3, 1)) + end + # Save the animation as a gif + gif(anim, "density_velocity_pressure_over_time.gif", fps=10) - return x0_xmax, t_values, u_values, dims_u - end + return anim end -# Euler is in a "conserved" form and the vector u contains (density, momentum, total energy) at each point x and time t -# So we want to convert these to (density, velocity, pressure) to calculate delta1 and delta2 according to [6] +""" + create_wave_animation_with_shock(x, t_values, density_field, velocity_field, pressure_field, shock_positions_over_time; save_file=false) -# Read the data and create the animation -# x0_xmax, t_values, u_values, dims_u = read_output_file("C:/Users/user/Documents/School/Sem4/softwareentwicklungspraktikum/shock_wave_detection/ShockwaveProperties.jl/example/data/euler_scenario_2.out") +Create an animation of density, velocity, and pressure fields over time, with markers for shock positions. -# Convert u_values to primitive variables. It's convert to density, velocity, pressure -function convert_to_primitive(u_values) - u_prim = zeros(size(u_values)) - for i in 1:size(u_values, 2) - for j in 1:size(u_values, 3) - # primitive_state_vector returns value without units - u_p_M_T = primitive_state_vector(u_values[:, i, j]; gas=DRY_AIR) - p_u = pressure(u_p_M_T[1], u_p_M_T[3]; gas=DRY_AIR) - # Store density - u_prim[1, i, j] = u_p_M_T[1] - # Convert Mach to m/s using speed_of_sound - u_prim[2, i, j] = u_p_M_T[2] * ustrip(speed_of_sound(u_p_M_T[3]; gas=DRY_AIR)) - # Strip the unit of pressure so that it can be stored in an empty array - u_prim[3, i, j] = ustrip(p_u) - end - end +# Arguments +- `x0_xmax::Tuple{Float64, Float64}`: A tuple containing the minimum and maximum x values. +- `t_values::Vector`: Time values. +- `density_field::Matrix`: Density field over space and time. +- `velocity_field::Matrix`: Velocity field over space and time. +- `pressure_field::Matrix`: Pressure field over space and time. +- `shock_positions_over_time::Vector{Vector{Int}}`: Shock positions over time. +- `save_file::Bool`: Whether to save the animation as a gif file (default: false). - # Extract the density, velocity, and pressure fields - density_field = u_prim[1, :, :] - velocity_field = u_prim[2, :, :] - pressure_field = u_prim[3, :, :] - return density_field, velocity_field, pressure_field -end +# Returns +- `anim::Animation`: Animation object. -function create_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) +This function creates an animation of density, velocity, and pressure fields over time, with markers indicating shock positions at each time step. The animation is generated using the Plots.jl package and returned as an Animation object. If `save_file` is true, the animation is saved as a gif file with the filename 'density_velocity_pressure_over_time_with_shock_positions.gif'. +""" +function create_wave_animation_with_shock(x0_xmax, t_values, density_field, velocity_field, pressure_field, shock_positions_over_time) # Create a range of x values - x = range(x0_xmax[1], stop=x0_xmax[2], length=dims_u[2]) - - # Create a range of t values - t = t_values + x = range(x0_xmax[1], stop=x0_xmax[2], length=size(density_field, 1)) # Create an animation - anim = @animate for (i, t) in enumerate(t_values) - p1 = Plots.plot(x, density_field[:, i], title="Density at Time $t", xlabel="x", ylabel="Density(kg/m^3)", label = "Density across x", size=(800, 600)) - p2 = Plots.plot(x, velocity_field[:, i], title="Velocity at Time $t", xlabel="x", ylabel="Velocity(m/s)", label = "Velocity across x", size=(800, 600)) - p3 = Plots.plot(x, pressure_field[:, i], title="Pressure at Time $t", xlabel="x", ylabel="Pressure(Pa)", label = "Pressure across x", size=(800, 600)) - plot(p1, p2, p3, layout = (3, 1)) + anim = @animate for (t_step, t) in enumerate(t_values) + p1 = plot(x, density_field[:, t_step], title="Density at Time $t", xlabel="x", ylabel="Density", label="Density across x", size=(800, 600)) + p2 = plot(x, velocity_field[:, t_step], title="Velocity at Time $t", xlabel="x", ylabel="Velocity", label="Velocity across x", size=(800, 600)) + p3 = plot(x, pressure_field[:, t_step], title="Pressure at Time $t", xlabel="x", ylabel="Pressure", label="Pressure across x", size=(800, 600)) + + # Add markers for the shock positions + shock_positions_t = shock_positions_over_time[t_step] + for pos in shock_positions_t + scatter!(p1, [x[pos]], [density_field[pos, t_step]], color=:red, label=false) + scatter!(p2, [x[pos]], [velocity_field[pos, t_step]], color=:red, label=false) + scatter!(p3, [x[pos]], [pressure_field[pos, t_step]], color=:red, label=false) + end + + plot(p1, p2, p3, layout=(3, 1)) end - # Save the animation as a gif - gif(anim, "density_velocity_pressure_over_time.gif", fps = 10) -end -#density_field, velocity_field, pressure_field = convert_to_primitive(u_values) + gif(anim, "density_velocity_pressure_over_time_with_shock_positions.gif", fps=10) -#create_animation(x0_xmax, t_values, density_field, velocity_field, pressure_field) + return anim +end \ No newline at end of file diff --git a/test/runtests.jl b/test/runtests.jl index 18ab1d2..b904eae 100644 --- a/test/runtests.jl +++ b/test/runtests.jl @@ -1,6 +1,6 @@ -using ShockwaveDetection using Test +using ShockwaveDetection @testset "ShockwaveDetection.jl" begin - # Write your tests here. + @test write_output() == "Hello from Julia!" end