forked from 1b-agent/fieldcraft-upstream
Tet mesh quality: one validity criterion, Delaunay refinement, ODT, Klingner–Shewchuk, tet10
The end-to-end demo met a raw-CDT sliver that the validity gate accepted (exactly positive) and the solver refused. Now: - One validity criterion, `fieldcraft_model::admissible_jacobian` (normalized Jacobian above 1e-12), used by the implicit solver (fem `positive_inverse`), the explicit tet4/hex8 kinematics and the mesh gate, which proves it on the whole element (tet4: the solvers' own Jacobian; curved kinds: a Bernstein floor), so whatever passes the gate passes the solvers. - CDT rounding repaired by flips on the rounded mesh (Diazzi et al. 2023 §5.1) instead of the ±2-ulp nudge. - `fieldcraft-mesh::tet`: a mutable tetrahedral complex whose every change is a checked replacement (positive and admissible tetrahedra, faces matched with opposite orientation) with an exact undo log; edge removal (Klincsek), multi-face removal, Delaunay insertion with boundary faces, edge collapse; a curvature- and thickness-graded size field; constrained Delaunay refinement with encroachment splits; ODT smoothing; the Klingner–Shewchuk schedule; boundary vertices moved onto the exact B-rep surfaces at the end; tet10 with mid-edge nodes on the geometry. - `mesh.tet.generate` gains size, order, quality, quality_target, curvature_angle, grading, max_passes, max_points and reports the CDT's and the mesh's quality; `solve.probe` takes a set and reports its largest von Mises stress. - Oracle cases filleted-bracket-fillet-stress(-coarse): the fillet's peak von Mises stress on tet10 meshes of 2k and 13.5k elements, 213.3 MPa (a four-level study stays within 1.8%); the CDT cases keep the raw tetrahedralization. - Corpus quality columns: all 20 valid parts mesh and pass the gate. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NmAttHhUZTokgPeEJia8sm
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jyvikoandClaude Opus 5.5 authored and Irakli Kourtis committed
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//! Where boundary vertices may go: projection onto the B-rep faces and the feature curves
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//! between them.
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//!
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//! The quality stage inserts and moves boundary vertices; each one stays on its B-rep face (or
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//! feature curve) by projection. [`BoundaryGeometry`] answers the projection. Two sources:
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//! - [`AnalyticSurface`]: the exact surface of a face when the geometry kernel knows it (plane,
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//! cylinder, cone, sphere, torus), with closed-form closest points;
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//! - [`Tessellation`]: the boundary surface's own triangles of that face, the fallback for
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//! free-form faces (the projection is then accurate to the tessellation's chordal tolerance).
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//!
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//! A point on a feature curve between faces `A` and `B` is projected onto the curve's polyline
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//! in the tessellation, then refined by alternating projections onto `A` and `B` when both are
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//! analytic (von Neumann's alternating projections converge to the intersection for surfaces
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//! meeting transversally); the result is kept only when it stays close to the polyline.
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use crate::size::SizeField;
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use crate::surface::BoundarySurface;
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use super::measure::{self, P, add, cross, dot, norm, scale, sub};
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/// A face's exact surface. Axes are unit vectors.
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#[derive(Debug, Clone, Copy, PartialEq)]
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pub enum AnalyticSurface {
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Plane {
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normal: P,
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point: P,
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},
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Cylinder {
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origin: P,
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axis: P,
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radius: f64,
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},
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/// Apex, axis pointing into the cone, half-angle in radians.
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Cone {
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apex: P,
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axis: P,
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half_angle: f64,
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},
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Sphere {
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center: P,
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radius: f64,
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},
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Torus {
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center: P,
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axis: P,
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major: f64,
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minor: f64,
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},
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}
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fn unit(v: P) -> Option<P> {
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let l = norm(v);
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(l > 0.0 && l.is_finite()).then(|| scale(v, 1.0 / l))
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}
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/// `(sin x, cos x)` for `|x| ≤ π` from their Taylor series (to 20 terms, accurate to rounding),
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/// so the result is the same on every platform (the C library's `sin` and `cos` are not
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/// correctly rounded and differ between platforms).
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pub fn sin_cos(x: f64) -> (f64, f64) {
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let x = x.clamp(-std::f64::consts::PI, std::f64::consts::PI);
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let (mut s, mut c) = (0.0, 0.0);
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let (mut ts, mut tc) = (x, 1.0);
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for k in 0..20 {
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s += ts;
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c += tc;
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let n = 2.0 * k as f64;
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ts *= -x * x / ((n + 2.0) * (n + 3.0));
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tc *= -x * x / ((n + 1.0) * (n + 2.0));
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}
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(s, c)
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}
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/// Any unit vector perpendicular to `a`.
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fn perpendicular(a: P) -> P {
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let t = if a[0].abs() < 0.9 { [1.0, 0.0, 0.0] } else { [0.0, 1.0, 0.0] };
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unit(cross(a, t)).unwrap_or([0.0, 0.0, 1.0])
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}
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impl AnalyticSurface {
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/// The closest point on the (untrimmed) surface, or `None` where it is not unique (on an
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/// axis) or the surface's data is not finite.
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pub fn project(&self, p: P) -> Option<P> {
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let out = match *self {
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AnalyticSurface::Plane { normal, point } => {
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let n = unit(normal)?;
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sub(p, scale(n, dot(sub(p, point), n)))
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}
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AnalyticSurface::Cylinder { origin, axis, radius } => {
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let a = unit(axis)?;
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let d = sub(p, origin);
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let foot = add(origin, scale(a, dot(d, a)));
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let r = unit(sub(p, foot))?;
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add(foot, scale(r, radius))
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}
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AnalyticSurface::Sphere { center, radius } => add(center, scale(unit(sub(p, center))?, radius)),
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AnalyticSurface::Cone { apex, axis, half_angle } => {
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let a = unit(axis)?;
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let d = sub(p, apex);
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let along = dot(d, a);
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let radial = sub(d, scale(a, along));
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let r = unit(radial).unwrap_or_else(|| perpendicular(a));
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// The generator through p's half-plane: direction g = cos·a + sin·r.
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let (s, c) = sin_cos(half_angle);
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let g = add(scale(a, c), scale(r, s));
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let t = dot(d, g).max(0.0);
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add(apex, scale(g, t))
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}
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AnalyticSurface::Torus { center, axis, major, minor } => {
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let a = unit(axis)?;
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let d = sub(p, center);
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let radial = sub(d, scale(a, dot(d, a)));
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let r = unit(radial)?;
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let ring = add(center, scale(r, major));
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add(ring, scale(unit(sub(p, ring))?, minor))
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}
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};
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out.iter().all(|x| x.is_finite()).then_some(out)
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}
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/// The unit normal (up to sign) at a point on the surface, if defined there.
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pub fn normal_at(&self, q: P) -> Option<P> {
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let n = match *self {
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AnalyticSurface::Plane { normal, .. } => normal,
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AnalyticSurface::Cylinder { origin, axis, .. } => {
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let a = unit(axis)?;
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let d = sub(q, origin);
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sub(d, scale(a, dot(d, a)))
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}
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AnalyticSurface::Sphere { center, .. } => sub(q, center),
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AnalyticSurface::Cone { apex, axis, .. } => {
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// Normal to both the generator through q and the circle through q.
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let a = unit(axis)?;
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let g = sub(q, apex);
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let tangent = cross(a, g);
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cross(g, tangent)
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}
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AnalyticSurface::Torus { center, axis, major, .. } => {
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let a = unit(axis)?;
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let d = sub(q, center);
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let r = unit(sub(d, scale(a, dot(d, a))))?;
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sub(q, add(center, scale(r, major)))
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}
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};
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unit(n)
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}
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/// The smallest radius of curvature at `p` (a cone's depends on the distance to its axis).
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pub fn radius_at(&self, p: P) -> f64 {
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match *self {
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AnalyticSurface::Cone { apex, axis, half_angle } => {
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let Some(a) = unit(axis) else { return f64::INFINITY };
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let d = sub(p, apex);
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let rho = norm(sub(d, scale(a, dot(d, a))));
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// Normal curvature of the circle of radius rho: cos(α)/rho.
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rho / sin_cos(half_angle).1.abs().max(1e-12)
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}
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AnalyticSurface::Plane { .. } => f64::INFINITY,
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AnalyticSurface::Cylinder { radius, .. } | AnalyticSurface::Sphere { radius, .. } => radius.abs(),
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AnalyticSurface::Torus { minor, .. } => minor.abs(),
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}
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}
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}
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/// sin 10°: faces meeting at a smaller angle are treated as tangent along their curve.
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const TRANSVERSAL_SIN: f64 = 0.173_648_177_666_930_35;
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/// The projections the quality stage needs.
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pub trait BoundaryGeometry {
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/// The closest point to `p` on B-rep face `face`, near `p` (within a few element sizes).
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fn project_face(&self, face: u32, p: P) -> Option<P>;
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/// The closest point to `p` on the feature curve between faces `faces` (equal for a sharp
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/// edge inside one face).
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fn project_curve(&self, faces: [u32; 2], p: P) -> Option<P>;
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}
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/// A bounding-box tree over the boundary's triangles (or its feature segments) for
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/// closest-point queries, filtered by tag.
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#[derive(Debug, Clone)]
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struct Tree {
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nodes: Vec<Node>,
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items: Vec<u32>,
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}
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#[derive(Debug, Clone, Copy)]
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struct Node {
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lo: P,
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hi: P,
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/// Children (left; right is left + 1) or a leaf over `items[start..end]`.
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left: Option<usize>,
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start: usize,
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end: usize,
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}
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const LEAF: usize = 6;
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impl Tree {
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fn build(boxes: &[(P, P)]) -> Tree {
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let mut items: Vec<u32> = (0..boxes.len() as u32).collect();
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let empty = Node { lo: [0.0; 3], hi: [0.0; 3], left: None, start: 0, end: 0 };
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let mut nodes = vec![empty];
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let mut work = vec![(0usize, 0usize, boxes.len())];
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while let Some((ni, start, end)) = work.pop() {
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let Some(slice) = items.get_mut(start..end) else { continue };
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let (mut lo, mut hi) = ([f64::INFINITY; 3], [f64::NEG_INFINITY; 3]);
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for &i in slice.iter() {
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if let Some((a, b)) = boxes.get(i as usize) {
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for k in 0..3 {
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lo[k] = lo[k].min(a[k]);
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hi[k] = hi[k].max(b[k]);
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}
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}
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}
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let mut node = Node { lo, hi, left: None, start, end };
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if end - start > LEAF {
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let ext = [hi[0] - lo[0], hi[1] - lo[1], hi[2] - lo[2]];
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let axis = if ext[0] >= ext[1] && ext[0] >= ext[2] {
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0
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} else if ext[1] >= ext[2] {
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1
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} else {
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2
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};
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let key = |i: &u32| boxes.get(*i as usize).map_or(0.0, |(a, b)| a[axis] + b[axis]);
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let mid = (end - start) / 2;
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slice.select_nth_unstable_by(mid, |a, b| key(a).total_cmp(&key(b)).then(a.cmp(b)));
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let left = nodes.len();
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nodes.push(empty);
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nodes.push(empty);
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node.left = Some(left);
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work.push((left, start, start + mid));
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work.push((left + 1, start + mid, end));
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}
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if let Some(n) = nodes.get_mut(ni) {
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*n = node;
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}
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}
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Tree { nodes, items }
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}
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/// The item nearest to `p` among those `accept` takes, by `distance` (squared, with the
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/// point and a fourth value carried along), searching boxes closer than the best so far.
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fn nearest4(&self, p: P, accept: &dyn Fn(u32) -> bool, distance: &dyn Fn(u32) -> (f64, [f64; 4])) -> Option<[f64; 4]> {
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let box_d2 = |n: &Node| -> f64 {
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(0..3)
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.map(|k| {
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let d = (n.lo[k] - p[k]).max(0.0).max(p[k] - n.hi[k]);
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d * d
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})
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.sum()
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};
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let mut best: Option<(f64, [f64; 4])> = None;
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let mut stack = vec![0usize];
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let mut steps = 0usize;
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while let Some(ni) = stack.pop() {
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steps += 1;
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if steps > 4 * self.nodes.len() + 16 {
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break;
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}
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let Some(n) = self.nodes.get(ni) else { continue };
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if best.is_some_and(|(d, _)| box_d2(n) > d) {
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continue;
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}
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match n.left {
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Some(l) => {
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let (a, b) = (self.nodes.get(l), self.nodes.get(l + 1));
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let (da, db) = (a.map_or(f64::INFINITY, box_d2), b.map_or(f64::INFINITY, box_d2));
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if da <= db {
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stack.push(l + 1);
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stack.push(l);
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} else {
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stack.push(l);
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stack.push(l + 1);
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}
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}
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None => {
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for &i in self.items.get(n.start..n.end).unwrap_or_default() {
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if !accept(i) {
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continue;
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}
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let (d, q) = distance(i);
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if best.is_none_or(|(b, _)| d < b) {
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best = Some((d, q));
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}
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}
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}
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}
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}
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best.map(|(_, q)| q)
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}
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}
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/// The closest point on triangle `abc` (Ericson, *Real-Time Collision Detection*, §5.1.5).
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pub fn closest_on_triangle(p: P, a: P, b: P, c: P) -> P {
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let (ab, ac, ap) = (sub(b, a), sub(c, a), sub(p, a));
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let (d1, d2) = (dot(ab, ap), dot(ac, ap));
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if d1 <= 0.0 && d2 <= 0.0 {
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return a;
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}
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let bp = sub(p, b);
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let (d3, d4) = (dot(ab, bp), dot(ac, bp));
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if d3 >= 0.0 && d4 <= d3 {
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return b;
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}
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let vc = d1 * d4 - d3 * d2;
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if vc <= 0.0 && d1 >= 0.0 && d3 <= 0.0 {
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let v = d1 / (d1 - d3);
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return add(a, scale(ab, v));
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}
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let cp = sub(p, c);
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let (d5, d6) = (dot(ab, cp), dot(ac, cp));
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if d6 >= 0.0 && d5 <= d6 {
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return c;
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}
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let vb = d5 * d2 - d1 * d6;
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if vb <= 0.0 && d2 >= 0.0 && d6 <= 0.0 {
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let w = d2 / (d2 - d6);
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return add(a, scale(ac, w));
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}
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let va = d3 * d6 - d5 * d4;
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if va <= 0.0 && (d4 - d3) >= 0.0 && (d5 - d6) >= 0.0 {
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let w = (d4 - d3) / ((d4 - d3) + (d5 - d6));
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return add(b, scale(sub(c, b), w));
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}
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let den = 1.0 / (va + vb + vc);
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let (v, w) = (vb * den, vc * den);
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let q = add(a, add(scale(ab, v), scale(ac, w)));
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if q.iter().all(|x| x.is_finite()) { q } else { a }
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}
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/// The closest point on segment `ab`.
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pub fn closest_on_segment(p: P, a: P, b: P) -> P {
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let ab = sub(b, a);
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let l2 = dot(ab, ab);
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if !(l2 > 0.0) {
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return a;
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}
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let t = (dot(sub(p, a), ab) / l2).clamp(0.0, 1.0);
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measure::lerp(a, b, t)
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}
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/// The boundary surface as projection target, optionally with exact surfaces per face.
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#[derive(Debug, Clone)]
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pub struct Tessellation {
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points: Vec<P>,
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triangles: Vec<[u32; 3]>,
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tri_face: Vec<u32>,
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tri_tree: Tree,
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/// Feature segments: vertices and the (sorted) face pair.
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segments: Vec<([u32; 2], [u32; 2])>,
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seg_tree: Tree,
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analytic: Vec<Option<AnalyticSurface>>,
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}
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impl Tessellation {
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/// The projection target of a boundary surface; `analytic[face]` gives a face's exact
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/// surface when known.
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pub fn new(surface: &BoundarySurface, analytic: Vec<Option<AnalyticSurface>>) -> Tessellation {
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let points = surface.points().to_vec();
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let triangles = surface.triangles().to_vec();
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let tri_face = surface.tri_face().to_vec();
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let pt = |v: u32| points.get(v as usize).copied().unwrap_or([0.0; 3]);
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let boxes: Vec<(P, P)> = triangles
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.iter()
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.map(|t| {
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let (a, b, c) = (pt(t[0]), pt(t[1]), pt(t[2]));
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([0, 1, 2].map(|k| a[k].min(b[k]).min(c[k])), [0, 1, 2].map(|k| a[k].max(b[k]).max(c[k])))
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||||
})
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.collect();
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||||
let tri_tree = Tree::build(&boxes);
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||||
let face_of = |t: u32| tri_face.get(t as usize).copied().unwrap_or(u32::MAX);
|
||||
let segments: Vec<([u32; 2], [u32; 2])> = surface
|
||||
.feature_edges()
|
||||
.iter()
|
||||
.map(|e| {
|
||||
let (fa, fb) = (face_of(e.triangles[0]), face_of(e.triangles[1]));
|
||||
(e.vertices, [fa.min(fb), fa.max(fb)])
|
||||
})
|
||||
.collect();
|
||||
let seg_boxes: Vec<(P, P)> = segments
|
||||
.iter()
|
||||
.map(|(v, _)| {
|
||||
let (a, b) = (pt(v[0]), pt(v[1]));
|
||||
([0, 1, 2].map(|k| a[k].min(b[k])), [0, 1, 2].map(|k| a[k].max(b[k])))
|
||||
})
|
||||
.collect();
|
||||
let seg_tree = Tree::build(&seg_boxes);
|
||||
Tessellation { points, triangles, tri_face, tri_tree, segments, seg_tree, analytic }
|
||||
}
|
||||
|
||||
fn pt(&self, v: u32) -> P {
|
||||
self.points.get(v as usize).copied().unwrap_or([0.0; 3])
|
||||
}
|
||||
|
||||
/// The exact surface of a face, if known.
|
||||
pub fn analytic(&self, face: u32) -> Option<&AnalyticSurface> {
|
||||
self.analytic.get(face as usize).and_then(|a| a.as_ref())
|
||||
}
|
||||
|
||||
/// The closest point on the face's triangles, and the longest edge of the triangle it is
|
||||
/// on (the local scale of the tessellation).
|
||||
fn on_tessellation(&self, face: u32, p: P) -> Option<(P, f64)> {
|
||||
let accept = |t: u32| self.tri_face.get(t as usize) == Some(&face);
|
||||
let dist = |t: u32| {
|
||||
let tri = self.triangles.get(t as usize).copied().unwrap_or([0; 3]);
|
||||
let (a, b, c) = (self.pt(tri[0]), self.pt(tri[1]), self.pt(tri[2]));
|
||||
let q = closest_on_triangle(p, a, b, c);
|
||||
let d = sub(q, p);
|
||||
let longest = measure::dist(a, b).max(measure::dist(b, c)).max(measure::dist(c, a));
|
||||
(dot(d, d), [q[0], q[1], q[2], longest])
|
||||
};
|
||||
self.tri_tree.nearest4(p, &accept, &dist).map(|r| ([r[0], r[1], r[2]], r[3]))
|
||||
}
|
||||
|
||||
/// The closest point on the curve's polyline, and the length of the segment it is on.
|
||||
fn on_polyline(&self, faces: [u32; 2], p: P) -> Option<(P, f64)> {
|
||||
let key = [faces[0].min(faces[1]), faces[0].max(faces[1])];
|
||||
let accept = |s: u32| self.segments.get(s as usize).is_some_and(|(_, f)| *f == key);
|
||||
let dist = |s: u32| {
|
||||
let v = self.segments.get(s as usize).map_or([0; 2], |(v, _)| *v);
|
||||
let (a, b) = (self.pt(v[0]), self.pt(v[1]));
|
||||
let q = closest_on_segment(p, a, b);
|
||||
let d = sub(q, p);
|
||||
(dot(d, d), [q[0], q[1], q[2], measure::dist(a, b)])
|
||||
};
|
||||
self.seg_tree.nearest4(p, &accept, &dist).map(|r| ([r[0], r[1], r[2]], r[3]))
|
||||
}
|
||||
}
|
||||
|
||||
impl BoundaryGeometry for Tessellation {
|
||||
fn project_face(&self, face: u32, p: P) -> Option<P> {
|
||||
let (near, scale_len) = self.on_tessellation(face, p)?;
|
||||
match self.analytic(face) {
|
||||
// The exact surface's closest point, kept when it is near the tessellation's: the
|
||||
// tessellation deviates from its surface by far less than half its triangles' size,
|
||||
// so a point further away is a projection onto another part of the surface (the far
|
||||
// side of a cylinder) and the tessellation's point is used.
|
||||
Some(s) => {
|
||||
let q = s.project(p)?;
|
||||
let tol = (0.5 * scale_len).max(2.0 * measure::dist(p, near));
|
||||
Some(if measure::dist(q, near) <= tol { q } else { near })
|
||||
}
|
||||
None => Some(near),
|
||||
}
|
||||
}
|
||||
|
||||
fn project_curve(&self, faces: [u32; 2], p: P) -> Option<P> {
|
||||
let (near, seg_len) = self.on_polyline(faces, p)?;
|
||||
let (Some(a), Some(b)) = (self.analytic(faces[0]), self.analytic(faces[1])) else { return Some(near) };
|
||||
if faces[0] == faces[1] {
|
||||
return Some(near);
|
||||
}
|
||||
// Faces meeting tangentially (a blend's edge) define their curve badly: alternating
|
||||
// projections crawl along it. There the polyline lies on both faces to the
|
||||
// tessellation's accuracy and is kept.
|
||||
let (Some(na), Some(nb)) = (a.normal_at(near), b.normal_at(near)) else { return Some(near) };
|
||||
if norm(cross(na, nb)) < TRANSVERSAL_SIN {
|
||||
return Some(near);
|
||||
}
|
||||
let mut q = near;
|
||||
for _ in 0..40 {
|
||||
let Some(qa) = a.project(q) else { return Some(near) };
|
||||
let Some(qb) = b.project(qa) else { return Some(near) };
|
||||
let step = measure::dist(qb, q);
|
||||
q = qb;
|
||||
if step <= 1e-13 * (1.0 + norm(q)) {
|
||||
break;
|
||||
}
|
||||
}
|
||||
// Both surfaces must agree at the result, and it must stay near the polyline.
|
||||
let gap = a.project(q).map_or(f64::INFINITY, |qa| measure::dist(qa, q));
|
||||
let tol = (0.5 * seg_len).max(2.0 * measure::dist(p, near));
|
||||
if gap <= 1e-9 * (1.0 + norm(q)) && measure::dist(q, near) <= tol { Some(q) } else { Some(near) }
|
||||
}
|
||||
}
|
||||
|
||||
impl Tessellation {
|
||||
/// The local thickness at each vertex: the distance to the nearest triangle facing it from
|
||||
/// across the solid (a triangle that does not touch the vertex and whose outward normal
|
||||
/// points back against the vertex's, by more than 120°). Infinite where nothing faces it.
|
||||
/// Thin walls are this thick; elements larger than it would have to be flat.
|
||||
pub fn thickness(&self) -> Vec<f64> {
|
||||
let n = self.points.len();
|
||||
let mut normal = vec![[0.0; 3]; n];
|
||||
let tri_normal: Vec<P> = self
|
||||
.triangles
|
||||
.iter()
|
||||
.map(|t| {
|
||||
let (a, b, c) = (self.pt(t[0]), self.pt(t[1]), self.pt(t[2]));
|
||||
cross(sub(b, a), sub(c, a))
|
||||
})
|
||||
.collect();
|
||||
for (t, m) in self.triangles.iter().zip(&tri_normal) {
|
||||
for &v in t {
|
||||
if let Some(x) = normal.get_mut(v as usize) {
|
||||
*x = add(*x, *m);
|
||||
}
|
||||
}
|
||||
}
|
||||
(0..n as u32)
|
||||
.map(|v| {
|
||||
let p = self.pt(v);
|
||||
let Some(nv) = normal.get(v as usize).and_then(|m| unit(*m)) else { return f64::INFINITY };
|
||||
let accept = |t: u32| {
|
||||
let Some(tri) = self.triangles.get(t as usize) else { return false };
|
||||
!tri.contains(&v) && tri_normal.get(t as usize).and_then(|m| unit(*m)).is_some_and(|m| dot(m, nv) < -0.5)
|
||||
};
|
||||
let dist = |t: u32| {
|
||||
let tri = self.triangles.get(t as usize).copied().unwrap_or([0; 3]);
|
||||
let q = closest_on_triangle(p, self.pt(tri[0]), self.pt(tri[1]), self.pt(tri[2]));
|
||||
let d = sub(q, p);
|
||||
(dot(d, d), [q[0], q[1], q[2], 0.0])
|
||||
};
|
||||
// Only what lies behind the surface (inside the solid) counts.
|
||||
self.tri_tree.nearest4(p, &accept, &dist).map_or(f64::INFINITY, |r| {
|
||||
let q = [r[0], r[1], r[2]];
|
||||
if dot(sub(q, p), nv) < 0.0 { measure::dist(q, p) } else { f64::INFINITY }
|
||||
})
|
||||
})
|
||||
.collect()
|
||||
}
|
||||
}
|
||||
|
||||
/// The curvature of the boundary, sampled at its vertices: for each edge inside one B-rep face,
|
||||
/// the turn of the normal between its two triangles over the distance between their centroids
|
||||
/// (a discrete estimate of the normal curvature across the edge), or the exact surface's radius.
|
||||
/// Returns the smallest radius of curvature at each surface vertex (infinite where flat).
|
||||
pub fn curvature_radii(surface: &BoundarySurface, geometry: &Tessellation) -> Vec<f64> {
|
||||
let pts = surface.points();
|
||||
let tris = surface.triangles();
|
||||
let faces = surface.tri_face();
|
||||
let mut radius = vec![f64::INFINITY; pts.len()];
|
||||
let pt = |v: u32| pts.get(v as usize).copied().unwrap_or([0.0; 3]);
|
||||
let centroid = |t: &[u32; 3]| scale(add(add(pt(t[0]), pt(t[1])), pt(t[2])), 1.0 / 3.0);
|
||||
for (i, (t, nb)) in tris.iter().zip(surface.neighbors()).enumerate() {
|
||||
let face = faces.get(i).copied().unwrap_or(u32::MAX);
|
||||
if let Some(s) = geometry.analytic(face) {
|
||||
for &v in t {
|
||||
if let Some(r) = radius.get_mut(v as usize) {
|
||||
*r = r.min(s.radius_at(pt(v)));
|
||||
}
|
||||
}
|
||||
continue;
|
||||
}
|
||||
let n = measure::triangle_normal(pt(t[0]), pt(t[1]), pt(t[2]));
|
||||
for (e, &j) in nb.iter().enumerate() {
|
||||
let Some(u) = tris.get(j as usize) else { continue };
|
||||
if j as usize <= i || faces.get(j as usize) != Some(&face) {
|
||||
continue;
|
||||
}
|
||||
let m = measure::triangle_normal(pt(u[0]), pt(u[1]), pt(u[2]));
|
||||
// The chord between the unit normals: the turn angle to second order, and only
|
||||
// correctly rounded operations (the same on every platform).
|
||||
let turn = norm(sub(n, m));
|
||||
let d = measure::dist(centroid(t), centroid(u));
|
||||
if !(turn > 1e-6) || !(d > 0.0) {
|
||||
continue;
|
||||
}
|
||||
let r = d / turn;
|
||||
for v in [t[e], t[(e + 1) % 3]] {
|
||||
if let Some(x) = radius.get_mut(v as usize) {
|
||||
*x = x.min(r);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
radius
|
||||
}
|
||||
|
||||
/// A size field from a global size and the boundary's curvature, graded: the size at `x` is
|
||||
/// `min(global, min_i (h_i + g |x − x_i|))` over curvature samples `h_i = θ r_i` (θ radians per
|
||||
/// element along a curve of radius `r_i`), stored on a background grid relaxed by fast sweeping
|
||||
/// and interpolated trilinearly.
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct GradedSize {
|
||||
global: f64,
|
||||
lo: P,
|
||||
cell: f64,
|
||||
dims: [usize; 3],
|
||||
values: Vec<f64>,
|
||||
}
|
||||
|
||||
/// The most nodes of the background grid.
|
||||
pub const MAX_GRID_NODES: usize = 1 << 21;
|
||||
|
||||
impl GradedSize {
|
||||
/// `samples`: points with their local size. `grading`: the largest change of size per unit
|
||||
/// length.
|
||||
pub fn new(global: f64, samples: &[(P, f64)], lo: P, hi: P, grading: f64) -> GradedSize {
|
||||
let diag = measure::dist(lo, hi).max(f64::MIN_POSITIVE);
|
||||
let finest = samples.iter().map(|s| s.1).fold(global, f64::min).max(diag * 1e-4);
|
||||
let mut cell = finest.max(diag / 64.0) * 0.5;
|
||||
let dims_for = |c: f64| [0, 1, 2].map(|k| (((hi[k] - lo[k]) / c).ceil().max(1.0) as usize) + 2);
|
||||
let mut dims = dims_for(cell);
|
||||
while dims.iter().product::<usize>() > MAX_GRID_NODES {
|
||||
cell *= 1.25;
|
||||
dims = dims_for(cell);
|
||||
}
|
||||
let lo = [lo[0] - cell, lo[1] - cell, lo[2] - cell];
|
||||
let n = dims.iter().product::<usize>();
|
||||
let mut values = vec![global; n];
|
||||
let idx = |i: usize, j: usize, k: usize| (k * dims[1] + j) * dims[0] + i;
|
||||
let g = grading.max(0.0);
|
||||
// Seed: each sample's cell corners.
|
||||
for &(x, h) in samples {
|
||||
if !(h > 0.0 && h.is_finite()) {
|
||||
continue;
|
||||
}
|
||||
let c = [0, 1, 2].map(|k| ((x[k] - lo[k]) / cell).floor().max(0.0) as usize);
|
||||
for dk in 0..2 {
|
||||
for dj in 0..2 {
|
||||
for di in 0..2 {
|
||||
let (i, j, k) = (c[0] + di, c[1] + dj, c[2] + dk);
|
||||
if i >= dims[0] || j >= dims[1] || k >= dims[2] {
|
||||
continue;
|
||||
}
|
||||
let node = [lo[0] + i as f64 * cell, lo[1] + j as f64 * cell, lo[2] + k as f64 * cell];
|
||||
let v = h + g * measure::dist(node, x);
|
||||
if let Some(s) = values.get_mut(idx(i, j, k)) {
|
||||
*s = s.min(v);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
// Fast sweeping: eight sweep orders, each relaxing against the three axis neighbours
|
||||
// behind the sweep direction (and diagonals through them over passes).
|
||||
if g > 0.0 {
|
||||
for _ in 0..2 {
|
||||
for dir in 0..8 {
|
||||
let rev = [dir & 1 != 0, dir & 2 != 0, dir & 4 != 0];
|
||||
for kk in 0..dims[2] {
|
||||
let k = if rev[2] { dims[2] - 1 - kk } else { kk };
|
||||
for jj in 0..dims[1] {
|
||||
let j = if rev[1] { dims[1] - 1 - jj } else { jj };
|
||||
for ii in 0..dims[0] {
|
||||
let i = if rev[0] { dims[0] - 1 - ii } else { ii };
|
||||
let mut best = values.get(idx(i, j, k)).copied().unwrap_or(global);
|
||||
let back = |x: usize, r: bool, n: usize| -> Option<usize> {
|
||||
if r { (x + 1 < n).then_some(x + 1) } else { x.checked_sub(1) }
|
||||
};
|
||||
if let Some(pi) = back(i, rev[0], dims[0]) {
|
||||
best = best.min(values.get(idx(pi, j, k)).copied().unwrap_or(global) + g * cell);
|
||||
}
|
||||
if let Some(pj) = back(j, rev[1], dims[1]) {
|
||||
best = best.min(values.get(idx(i, pj, k)).copied().unwrap_or(global) + g * cell);
|
||||
}
|
||||
if let Some(pk) = back(k, rev[2], dims[2]) {
|
||||
best = best.min(values.get(idx(i, j, pk)).copied().unwrap_or(global) + g * cell);
|
||||
}
|
||||
if let Some(s) = values.get_mut(idx(i, j, k)) {
|
||||
*s = best;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
GradedSize { global, lo, cell, dims, values }
|
||||
}
|
||||
|
||||
fn at(&self, i: usize, j: usize, k: usize) -> f64 {
|
||||
let i = i.min(self.dims[0] - 1);
|
||||
let j = j.min(self.dims[1] - 1);
|
||||
let k = k.min(self.dims[2] - 1);
|
||||
self.values.get((k * self.dims[1] + j) * self.dims[0] + i).copied().unwrap_or(self.global)
|
||||
}
|
||||
}
|
||||
|
||||
impl SizeField for GradedSize {
|
||||
fn size(&self, p: [f64; 3]) -> f64 {
|
||||
let f = [0, 1, 2].map(|k| ((p[k] - self.lo[k]) / self.cell).clamp(0.0, (self.dims[k] - 1) as f64));
|
||||
if f.iter().any(|x| !x.is_finite()) {
|
||||
return self.global;
|
||||
}
|
||||
let c = f.map(|x| (x.floor() as usize).min(usize::MAX - 1));
|
||||
let t = [f[0] - c[0] as f64, f[1] - c[1] as f64, f[2] - c[2] as f64];
|
||||
let mut h = 0.0;
|
||||
for dk in 0..2 {
|
||||
for dj in 0..2 {
|
||||
for di in 0..2 {
|
||||
let w = (if di == 1 { t[0] } else { 1.0 - t[0] })
|
||||
* (if dj == 1 { t[1] } else { 1.0 - t[1] })
|
||||
* (if dk == 1 { t[2] } else { 1.0 - t[2] });
|
||||
h += w * self.at(c[0] + di, c[1] + dj, c[2] + dk);
|
||||
}
|
||||
}
|
||||
}
|
||||
if h > 0.0 && h.is_finite() { h.min(self.global) } else { self.global }
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn analytic_projections() {
|
||||
let cyl = AnalyticSurface::Cylinder { origin: [0.0; 3], axis: [0.0, 0.0, 2.0], radius: 3.0 };
|
||||
let q = cyl.project([1.0, 1.0, 5.0]).unwrap();
|
||||
assert!((norm([q[0], q[1], 0.0]) - 3.0).abs() < 1e-12 && (q[2] - 5.0).abs() < 1e-12);
|
||||
let s = AnalyticSurface::Sphere { center: [1.0, 0.0, 0.0], radius: 2.0 };
|
||||
assert!((measure::dist(s.project([5.0, 0.0, 0.0]).unwrap(), [3.0, 0.0, 0.0])) < 1e-12);
|
||||
let pl = AnalyticSurface::Plane { normal: [0.0, 0.0, 1.0], point: [0.0, 0.0, 2.0] };
|
||||
assert_eq!(pl.project([1.0, 2.0, 7.0]), Some([1.0, 2.0, 2.0]));
|
||||
let t = AnalyticSurface::Torus { center: [0.0; 3], axis: [0.0, 0.0, 1.0], major: 5.0, minor: 1.0 };
|
||||
let q = t.project([7.0, 0.0, 0.0]).unwrap();
|
||||
assert!(measure::dist(q, [6.0, 0.0, 0.0]) < 1e-12);
|
||||
let cone = AnalyticSurface::Cone { apex: [0.0; 3], axis: [0.0, 0.0, 1.0], half_angle: std::f64::consts::FRAC_PI_4 };
|
||||
let q = cone.project([2.0, 0.0, 0.0]).unwrap();
|
||||
assert!((q[0] - q[2]).abs() < 1e-12 && (q[0] - 1.0).abs() < 1e-12, "{q:?}");
|
||||
assert!(cyl.project([0.0, 0.0, 1.0]).is_none());
|
||||
for x in [-3.0, -1.0, 0.0, 0.3, 1.5, 3.1] {
|
||||
let (s, c) = sin_cos(x);
|
||||
assert!((s - f64::sin(x)).abs() < 1e-15 && (c - f64::cos(x)).abs() < 1e-15, "{x}");
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn closest_points() {
|
||||
let (a, b, c) = ([0.0, 0.0, 0.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0]);
|
||||
assert!(measure::dist(closest_on_triangle([0.2, 0.2, 3.0], a, b, c), [0.2, 0.2, 0.0]) < 1e-15);
|
||||
assert_eq!(closest_on_triangle([-1.0, -1.0, 0.0], a, b, c), a);
|
||||
let q = closest_on_triangle([1.0, 1.0, 0.0], a, b, c);
|
||||
assert!(measure::dist(q, [0.5, 0.5, 0.0]) < 1e-15);
|
||||
assert_eq!(closest_on_segment([0.5, 2.0, 0.0], a, b), [0.5, 0.0, 0.0]);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn graded_size_grows_away_from_samples() {
|
||||
let f = GradedSize::new(10.0, &[([0.0; 3], 1.0)], [0.0; 3], [20.0, 20.0, 20.0], 0.5);
|
||||
let near = f.size([0.0; 3]);
|
||||
let mid = f.size([4.0, 0.0, 0.0]);
|
||||
let far = f.size([20.0, 20.0, 20.0]);
|
||||
assert!((1.0..1.6).contains(&near), "{near}");
|
||||
assert!((mid - 3.0).abs() < 0.8, "{mid}");
|
||||
assert_eq!(far, 10.0);
|
||||
assert!(f.size([f64::NAN, 0.0, 0.0]) > 0.0);
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user