rtx-cfd 3D Stage 1 item 4: three_d::{FlowField3D, piso_host::Piso3Solver} — the 2D embedded predictor/projection transcribed with the z terms appended (u/v/w predictors, six sides incl. periodic z, TVD, the apertured-ready projection on PoissonProblem3D); gates 4/5/6 HELD: MMS + Poiseuille marches value-identical to the 2D embedded solver (multigrid) over 200 steps at nz=1; 3D MMS orders 0.88 upwind / 1.61 TVD, div 1e-9; Beltrami orders 1.08/1.25 with face-averaged data (box compatible to 1e-12); Poiseuille |u−û| ≤ 2e-10, |v|,|w| ≤ 4e-10, p spread ≤ 5e-8 at nz 1 and periodic nz 4
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Co-Authored-By: Claude Fable 5.1 <[email protected]>
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co-authored by
Claude Fable 5.1
parent
2f476a38d5
commit
616d2a3394
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//! The 3D staggered field: u on `(nx + 1) × ny × nz` faces, v on
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//! `nx × (ny + 1) × nz`, w on `nx × ny × (nz + 1)`, p on the cells; flat
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//! storage (see [`super::Grid3`] for the index conventions).
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use super::Grid3;
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#[derive(Debug, Clone)]
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pub struct FlowField3D {
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pub grid: Grid3,
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pub u: Vec<f64>,
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pub v: Vec<f64>,
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pub w: Vec<f64>,
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pub p: Vec<f64>,
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pub u_old: Vec<f64>,
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pub v_old: Vec<f64>,
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pub w_old: Vec<f64>,
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pub u_star: Vec<f64>,
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pub v_star: Vec<f64>,
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pub w_star: Vec<f64>,
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pub p_prime: Vec<f64>,
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/// The continuity source of the projection.
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pub sp: Vec<f64>,
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}
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impl FlowField3D {
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#[must_use]
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pub fn new(grid: Grid3) -> Self {
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let nu = (grid.nx + 1) * grid.ny * grid.nz;
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let nv = grid.nx * (grid.ny + 1) * grid.nz;
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let nw = grid.nx * grid.ny * (grid.nz + 1);
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let nc = grid.cells();
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Self {
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grid,
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u: vec![0.0; nu],
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v: vec![0.0; nv],
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w: vec![0.0; nw],
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p: vec![0.0; nc],
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u_old: vec![0.0; nu],
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v_old: vec![0.0; nv],
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w_old: vec![0.0; nw],
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u_star: vec![0.0; nu],
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v_star: vec![0.0; nv],
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w_star: vec![0.0; nw],
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p_prime: vec![0.0; nc],
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sp: vec![0.0; nc],
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}
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}
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pub fn update_old_values(&mut self) {
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self.u_old.copy_from_slice(&self.u);
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self.v_old.copy_from_slice(&self.v);
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self.w_old.copy_from_slice(&self.w);
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}
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pub fn copy_to_starred(&mut self) {
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self.u_star.copy_from_slice(&self.u);
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self.v_star.copy_from_slice(&self.v);
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self.w_star.copy_from_slice(&self.w);
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}
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/// `max |∇·u|` over the cells (per unit volume).
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#[must_use]
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pub fn max_divergence(&self) -> f64 {
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let g = self.grid;
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let mut worst = 0.0_f64;
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for k in 0..g.nz {
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for j in 0..g.ny {
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for i in 0..g.nx {
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let div = (self.u[g.uface(k, j, i + 1)] - self.u[g.uface(k, j, i)]) / g.dx
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+ (self.v[g.vface(k, j + 1, i)] - self.v[g.vface(k, j, i)]) / g.dy
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+ (self.w[g.wface(k + 1, j, i)] - self.w[g.wface(k, j, i)]) / g.dz;
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worst = worst.max(div.abs());
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}
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}
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}
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worst
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}
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/// Kinetic energy `½ Σ (u² + v² + w²) dV` over the cells (face values
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/// averaged to the cell).
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#[must_use]
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pub fn kinetic_energy(&self, rho: f64) -> f64 {
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let g = self.grid;
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let dv = g.dx * g.dy * g.dz;
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let mut e = 0.0;
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for k in 0..g.nz {
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for j in 0..g.ny {
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for i in 0..g.nx {
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let uc = 0.5 * (self.u[g.uface(k, j, i)] + self.u[g.uface(k, j, i + 1)]);
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let vc = 0.5 * (self.v[g.vface(k, j, i)] + self.v[g.vface(k, j + 1, i)]);
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let wc = 0.5 * (self.w[g.wface(k, j, i)] + self.w[g.wface(k + 1, j, i)]);
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e += 0.5 * rho * (uc * uc + vc * vc + wc * wc) * dv;
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}
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}
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}
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e
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}
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}
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@@ -7,8 +7,15 @@
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//!
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//! Layout: cells are `(k, j, i)` row-major, `cell = (k * ny + j) * nx + i`.
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pub mod flow_field;
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pub mod piso_host;
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pub mod poisson;
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pub use flow_field::FlowField3D;
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pub use piso_host::{
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Boundaries3, Fluid3, Piso3Parameters, Piso3Result, Piso3Solver, SideBoundary3,
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};
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/// A uniform Cartesian grid.
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#[derive(Debug, Clone, Copy, PartialEq)]
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pub struct Grid3 {
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