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Define boundary zone from STL-file #597

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Define boundary zone from STL-file #597

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317e045
add oriented bounding box
LasNikas Aug 7, 2024
d63a01a
Merge branch 'main' into boundary-zone-from-stl-file
LasNikas Sep 26, 2024
94b28dd
Merge branch 'main' into boundary-zone-from-stl-file
LasNikas Oct 31, 2024
ab688f2
Merge branch 'main' into boundary-zone-from-stl-file
svchb Nov 13, 2024
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1 change: 1 addition & 0 deletions src/TrixiParticles.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ using SciMLBase: CallbackSet, DiscreteCallback, DynamicalODEProblem, u_modified!
get_tmp_cache, set_proposed_dt!, ODESolution, ODEProblem
@reexport using StaticArrays: SVector
using StaticArrays: @SMatrix, SMatrix, setindex
using Statistics: Statistics
using StrideArrays: PtrArray, StaticInt
using TimerOutputs: TimerOutput, TimerOutputs, print_timer, reset_timer!
using TrixiBase: trixi_include, @trixi_timeit, timer, timeit_debug_enabled,
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40 changes: 40 additions & 0 deletions src/schemes/boundary/open_boundary/boundary_zones.jl
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Expand Up @@ -275,6 +275,22 @@ function calculate_spanning_vectors(plane, zone_width)
return spanning_vectors(Tuple(plane), zone_width), SVector(plane[1]...)
end

function calculate_spanning_vectors(plane::TriangleMesh, zone_width)
plane_normal = normalize(sum(plane.face_normals) / nfaces(plane))

plane_points = oriented_bounding_box(stack(plane.vertices))

# Vectors spanning the plane
edge1 = plane_points[:, 2] - plane_points[:, 1]
edge2 = plane_points[:, 3] - plane_points[:, 1]

if !isapprox(abs.(normalize(cross(edge2, edge1))), abs.(plane_normal), atol=1e-2)
throw(ArgumentError("`plane` might be not planar"))
end

return hcat(plane_normal * zone_width, edge1, edge2), SVector(plane_points[:, 1]...)
end

function spanning_vectors(plane_points::NTuple{2}, zone_width)
plane_size = plane_points[2] - plane_points[1]

Expand Down Expand Up @@ -338,3 +354,27 @@ function remove_outside_particles(initial_condition, spanning_set, zone_origin)
return InitialCondition(; coordinates=coordinates[:, in_zone], density=first(density),
particle_spacing)
end

# According to:
# https://logicatcore.github.io/scratchpad/lidar/sensor-fusion/jupyter/2021/04/20/3D-Oriented-Bounding-Box.html
function oriented_bounding_box(point_cloud)
covariance_matrix = Statistics.cov(point_cloud; dims=2)
eigen_vectors = Statistics.eigvecs(covariance_matrix)
means = Statistics.mean(point_cloud, dims=2)

centered_data = point_cloud .- means

aligned_coords = eigen_vectors' * centered_data

min_corner = SVector(minimum(aligned_coords[1, :]),
minimum(aligned_coords[2, :]),
minimum(aligned_coords[3, :]))
max_corner = SVector(maximum(aligned_coords[1, :]),
maximum(aligned_coords[2, :]),
maximum(aligned_coords[3, :]))

plane_points = hcat(min_corner, max_corner,
[min_corner[1], max_corner[2], min_corner[3]])

return eigen_vectors * plane_points .+ means
end
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