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ReCo.jl/src/setup.jl

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using Distributions: Uniform
using Dates: now
using JSON3: JSON3
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function initial_particle_grid_pos(
i::Int64, j::Int64, grid_box_width::Float64, half_box_len::Float64
)
term = -0.5 * grid_box_width - half_box_len
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return SVector(i * grid_box_width + term, j * grid_box_width + term)
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end
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function generate_particles(grid_n::Int64, grid_box_width::Float64, half_box_len::Float64)
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particles = Vector{Particle}(undef, grid_n^2)
id = 1
for i in 1:grid_n
for j in 1:grid_n
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particles[id] = Particle(
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id,
initial_particle_grid_pos(i, j, grid_box_width, half_box_len),
rand(Uniform(-π, π)),
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)
id += 1
end
end
return particles
end
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function generate_particles(bundle::Bundle, n_particles::Int64)
particles = Vector{Particle}(undef, n_particles)
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@simd for id in 1:n_particles
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particles[id] = Particle(id, bundle.c[id, end], bundle.φ[id, end])
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end
return particles
end
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function init_sim(;
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n_particles::Int64,
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v::Float64,
δt::Float64=1e-5,
packing_ratio::Float64=0.5,
comment::String="",
parent_dir::String="",
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)
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@assert n_particles > 0
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@assert v >= 0
@assert δt in 1e-7:1e-7:1e-4
@assert packing_ratio > 0
μ = 1.0
D₀ = 1.0
particle_diameter = 1.0
Dᵣ = 3 * D₀ / (particle_diameter^2)
σ = 1.0
ϵ = 100.0
interaction_r = 2^(1 / 6) * σ
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grid_n = round(Int64, ceil(sqrt(n_particles)))
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n_particles = grid_n^2
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half_box_len = sqrt(n_particles * π / packing_ratio) * σ / 4
grid_box_width = 2 * half_box_len / grid_n
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sim_consts = (;
# Input
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n_particles,
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v,
δt,
packing_ratio,
# Calculated
μ,
D₀,
particle_diameter,
Dᵣ,
σ,
ϵ,
interaction_r,
grid_n,
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half_box_len,
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grid_box_width,
)
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particles = generate_particles(grid_n, grid_box_width, half_box_len)
bundle = Bundle(n_particles, 1)
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save_snapshot!(bundle, 1, 0.0, particles)
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particles = nothing
dir = "exports"
if length(parent_dir) > 0
dir *= "/$parent_dir"
end
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dir *= "/$(now())_N=$(n_particles)_v=$(v)_#$(rand(1000:9999))"
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if length(comment) > 0
dir *= "_$comment"
end
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mkpath(dir)
open("$dir/sim_consts.json", "w") do f
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JSON3.write(f, sim_consts)
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end
save_bundle(dir, bundle, 1, 0.0)
return dir
end