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3 changes: 2 additions & 1 deletion resonant-circuit/README.md
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---
title: Resonant Circuit
permalink: tutorials-resonant-circuit.html
keywords: MATLAB, Python
keywords: MATLAB, Python, Julia
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The rest of the page seems to be a bit focused on MATLAB. This is a good chance to change this (I can do).

summary: We simulate a two-element LC circuit (one inductor and one capacitor).
---

Expand Down Expand Up @@ -33,6 +33,7 @@ preCICE configuration (image generated using the [precice-config-visualizer](htt
* *MATLAB* A solver using the [MATLAB bindings](https://precice.org/installation-bindings-matlab.html).
Before running this tutorial, follow the [instructions](https://precice.org/installation-bindings-matlab.html) to correctly install the MATLAB bindings.
* *Python* A solver using the preCICE [Python bindings](https://precice.org/installation-bindings-python.html).
* *Julia* A solver using the preCICE [Julia bindings](https://precice.org/installation-bindings-julia.html).
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Self-reminder: We will need also an edit in https://precice.org/tutorials.html


## Running the simulation

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3 changes: 3 additions & 0 deletions resonant-circuit/capacitor-julia/Project.toml
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[deps]
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
PreCICE = "57fbd4af-5cc3-4712-aac0-6930e7658184"
90 changes: 90 additions & 0 deletions resonant-circuit/capacitor-julia/capacitor.jl
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using PreCICE
using OrdinaryDiffEq
using JLD2

# Initialize and configure preCICE
participant = PreCICE.createParticipant("Capacitor", "../precice-config.xml", 0, 1)

# Geometry IDs. As it is a 0-D simulation, only one vertex is necessary.
mesh_name = "Capacitor-Mesh"

dimensions = PreCICE.getMeshDimensions(mesh_name)

vertex_ids = PreCICE.setMeshVertices(mesh_name, [0. 0.])

let
# Data IDs
read_data_name = "Current"
write_data_name = "Voltage"

# Simulation parameters and initial condition
C = 2 # Capacitance of the capacitor
L = 1 # Inductance of the coil
t0 = 0 # Initial simulation time
t_max = 10 # End simulation time
Io = 1 # Initial current
phi = 0 # Phase of the signal

w0 = 1 / sqrt(L * C) # Resonant frequency
U0 = -w0 * L * Io * sin(phi) # Initial condition for U

function f_U(u, p, t)
(dt, C, mesh_name, read_data_name, vertex_ids) = p
I = PreCICE.readData(mesh_name, read_data_name, vertex_ids, dt)
return -I[1] / C # Time derivative of U
end

# Initialize simulation
if PreCICE.requiresInitialData()
@show I0
PreCICE.writeData(mesh_name, write_data_name, vertex_ids, I0)
end
PreCICE.initialize()

solver_dt = PreCICE.getMaxTimeStepSize()

# Start simulation
t = t0
U0_checkpoint = U0
t_checkpoint = t
U_store = [[t, U0]]
while PreCICE.isCouplingOngoing()


# Record checkpoint if necessary
if PreCICE.requiresWritingCheckpoint()
U0_checkpoint = U0
t_checkpoint = t
end

# Make Simulation Step
precice_dt = PreCICE.getMaxTimeStepSize()
dt = min(precice_dt, solver_dt)
t_span = (t, t + dt)
params = (dt, C, mesh_name, read_data_name, vertex_ids)
prob = ODEProblem(f_U, U0, t_span, params)
# https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts
sol = solve(prob, Tsit5(), reltol=1e-12, abstol=1e-12)

# Exchange data
evals = max(length(sol.t), 3) # at least do 3 substeps to allow cubic interpolation
for i in range(1,evals)
U0 = sol(t_span[1] + i * dt / evals)
PreCICE.writeData(mesh_name, write_data_name, vertex_ids, fill(U0, (1,1)))
PreCICE.advance(dt / evals)
end
t = t + dt

# Recover checkpoint if not converged
if PreCICE.requiresReadingCheckpoint()
U0 = U0_checkpoint
t = t_checkpoint
end
if PreCICE.isTimeWindowComplete()
push!(U_store, [t, U0])
end
end
jldsave("capacitor.jld2", U=U_store)
# Stop coupling
PreCICE.finalize()
end
3 changes: 3 additions & 0 deletions resonant-circuit/capacitor-julia/run.sh
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In our run scripts, we have some more features that we would need here for consistency as well:

  • shell is bash, set via env
  • we set -e -u to make the script more robust
  • we capture all logging into a file

See the python variant for an example.

It would be good if the script also installed the Julia bindings, in case they are not already installed. Similarly to the Python example.

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I've addressed most of those, for the Julia binding installation I just added a line in run.sh that initialises the environment using the packages specified in the Project.toml file (this file is similar to setting up a Python environment to run the project).
Not sure if that's why you had in mind.

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Thanks for the quick response. Yes, this is exactly what I had in mind.

I now still need to test this (currently precice/PreCICE.jl#70 is blocking me).

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#!/bin/sh

julia --project=. capacitor.jl
3 changes: 3 additions & 0 deletions resonant-circuit/coil-julia/Project.toml
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[deps]
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
PreCICE = "57fbd4af-5cc3-4712-aac0-6930e7658184"
107 changes: 107 additions & 0 deletions resonant-circuit/coil-julia/coil.jl
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using PreCICE
using OrdinaryDiffEq
using Plots
using JLD2

# Initialize and configure preCICE
participant = PreCICE.createParticipant("Coil", "../precice-config.xml", 0, 1)

# Geometry IDs. As it is a 0-D simulation, only one vertex is necessary.
mesh_name = "Coil-Mesh"

dimensions = PreCICE.getMeshDimensions(mesh_name)

vertex_ids = PreCICE.setMeshVertices(mesh_name, [0. 0.])

let
# Data IDs
read_data_name = "Voltage"
write_data_name = "Current"

# Simulation parameters and initial condition
C = 2 # Capacitance of the capacitor
L = 1 # Inductance of the coil
t0 = 0 # Initial simulation time
Io = 1 # Initial current
phi = 0 # Phase of the signal

w0 = 1 / sqrt(L * C) # Resonant frequency
I0 = Io * cos(phi) # Initial condition for I

# to estimate cost
f_evals = 0

function f_I(u, p, t)
f_evals += 1
(dt, L, mesh_name, read_data_name, vertex_ids) = p
U = PreCICE.readData(mesh_name, read_data_name, vertex_ids, dt)
return U[1] / L # Time derivative of I; ODE determining capacitor
end

# Initialize simulation
if PreCICE.requiresInitialData()
@show I0
PreCICE.writeData(mesh_name, write_data_name, vertex_ids, I0)
end
PreCICE.initialize()

solver_dt = PreCICE.getMaxTimeStepSize()

# Start simulation
t = t0
I0_checkpoint = I0
t_checkpoint = t
I_store = [[t, I0]]
while PreCICE.isCouplingOngoing()

# Record checkpoint if necessary
if PreCICE.requiresWritingCheckpoint()
I0_checkpoint = I0
t_checkpoint = t
end

# Make Simulation Step
precice_dt = PreCICE.getMaxTimeStepSize()
dt = min(precice_dt, solver_dt)
t_span = (t, t + dt)
params = (dt, L, mesh_name, read_data_name, vertex_ids)
prob = ODEProblem(f_I, I0, t_span, params)
# https://docs.sciml.ai/DiffEqDocs/stable/basics/common_solver_opts
sol = solve(prob, Tsit5(), reltol=1e-12, abstol=1e-12)

# Exchange data
evals = max(length(sol.t), 3) # at least do 3 substeps to allow cubic interpolation
for i in range(1,evals)
I0 = sol(t_span[1] + i * dt / evals)
PreCICE.writeData(mesh_name, write_data_name, vertex_ids, fill(I0, (1,1)))
PreCICE.advance(dt / evals)
end
t = t + dt

# Recover checkpoint if not converged
if PreCICE.requiresReadingCheckpoint()
I0 = I0_checkpoint
t = t_checkpoint
end
if PreCICE.isTimeWindowComplete()
push!(I_store, [t, I0])
end
end
jldsave("coil.jld2", U=I_store)
# Stop coupling
PreCICE.finalize()

# solutions
I_analytical(t) = Io * cos(t * w0 + phi)
U_analytical(t) = -w0 * L * Io * sin(w0 * t + phi);

# plot
time = getindex.(I_store,1); I_num = getindex.(I_store,2)
plot(time, [I_num, I_analytical.(time), U_analytical.(time)],
label=["Simulated Current" "Analytical Current" "Analytical Voltage"],
xlabel="Time", title="Resonant Circuit Simulation")
U_store = jldopen(joinpath(@__DIR__,"../capacitor-julia/capacitor.jld2"))
time = getindex.(U_store["U"],1); U_num = getindex.(U_store["U"],2)
plot!(time, U_num, label="Simulated Voltage")
savefig("resonant_circuit.png")
end
3 changes: 3 additions & 0 deletions resonant-circuit/coil-julia/run.sh
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#!/bin/sh

julia --project=. coil.jl