Account for coincident position in find_r_crossing

This commit is contained in:
Paul Romano 2023-03-23 13:37:26 -05:00
parent 938923be41
commit 10787a2da6
2 changed files with 103 additions and 4 deletions

View file

@ -1075,7 +1075,8 @@ double CylindricalMesh::find_r_crossing(
const double inv_denominator = 1.0 / denominator;
const double p = (u.x * r.x + u.y * r.y) * inv_denominator;
double D = p * p + (r0 * r0 - r.x * r.x - r.y * r.y) * inv_denominator;
double c = r.x * r.x + r.y * r.y - r0 * r0;
double D = p * p - c * inv_denominator;
if (D < 0.0)
return INFTY;
@ -1083,7 +1084,7 @@ double CylindricalMesh::find_r_crossing(
D = std::sqrt(D);
// the solution -p - D is always smaller as -p + D : Check this one first
if (-p - D > l)
if (-p - D > l && std::abs(c) > FP_COINCIDENT)
return -p - D;
if (-p + D > l)
return -p + D;
@ -1303,12 +1304,13 @@ double SphericalMesh::find_r_crossing(
// |r+s*u| = |r| + 2*s*r*u + s^2 (|u|==1 !)
const double r0 = grid_[0][shell];
const double p = r.dot(u);
double D = p * p - r.dot(r) + r0 * r0;
double c = r.dot(r) - r0 * r0;
double D = p * p - c;
if (D >= 0.0) {
D = std::sqrt(D);
// the solution -p - D is always smaller as -p + D : Check this one first
if (-p - D > l)
if (-p - D > l && std::abs(c) > FP_COINCIDENT)
return -p - D;
if (-p + D > l)
return -p + D;

View file

@ -1,6 +1,7 @@
import math
import numpy as np
import pytest
from uncertainties import unumpy
import openmc
@ -112,6 +113,102 @@ def test_cylindrical_mesh_estimators(run_in_tmpdir):
std_dev = unumpy.std_devs(delta)
assert np.all(diff < 3*std_dev)
def test_cylindrical_mesh_coincident(run_in_tmpdir):
"""Test for cylindrical mesh boundary being coincident with a cell boundary"""
fuel = openmc.Material()
fuel.add_nuclide('U235', 1.)
fuel.set_density('g/cm3', 4.5)
zcyl = openmc.ZCylinder(r=1.25)
box = openmc.rectangular_prism(4.0, 4.0, boundary_type='reflective')
cell1 = openmc.Cell(fill=fuel, region=-zcyl)
cell2 = openmc.Cell(fill=None, region=+zcyl & box)
model = openmc.Model()
model.geometry = openmc.Geometry([cell1, cell2])
model.settings.particles = 100
model.settings.batches = 10
model.settings.inactive = 0
cyl_mesh = openmc.CylindricalMesh()
cyl_mesh.r_grid = [0., 1.25]
cyl_mesh.phi_grid = [0., 2*math.pi]
cyl_mesh.z_grid = [-1e10, 1e10]
cyl_mesh_filter = openmc.MeshFilter(cyl_mesh)
cell_filter = openmc.CellFilter([cell1])
tally1 = openmc.Tally()
tally1.filters = [cyl_mesh_filter]
tally1.scores = ['flux']
tally2 = openmc.Tally()
tally2.filters = [cell_filter]
tally2.scores = ['flux']
model.tallies = openmc.Tallies([tally1, tally2])
# Run OpenMC
sp_filename = model.run()
# Get flux for each of the two tallies
with openmc.StatePoint(sp_filename) as sp:
t1 = sp.tallies[tally1.id]
t2 = sp.tallies[tally2.id]
mean1 = t1.mean.ravel()[0]
mean2 = t2.mean.ravel()[0]
# The two tallies should be exactly the same
assert mean1 == pytest.approx(mean2)
def test_spherical_mesh_coincident(run_in_tmpdir):
"""Test for spherical mesh boundary being coincident with a cell boundary"""
fuel = openmc.Material()
fuel.add_nuclide('U235', 1.)
fuel.set_density('g/cm3', 4.5)
sph = openmc.Sphere(r=1.25)
rcc = openmc.model.RectangularParallelepiped(
-2.0, 2.0, -2.0, 2.0, -2.0, 2.0, boundary_type='reflective')
cell1 = openmc.Cell(fill=fuel, region=-sph)
cell2 = openmc.Cell(fill=None, region=+sph & -rcc)
model = openmc.Model()
model.geometry = openmc.Geometry([cell1, cell2])
model.settings.particles = 100
model.settings.batches = 10
model.settings.inactive = 0
sph_mesh = openmc.SphericalMesh()
sph_mesh.r_grid = [0., 1.25]
sph_mesh.phi_grid = [0., 2*math.pi]
sph_mesh.theta_grid = [0., math.pi]
sph_mesh_filter = openmc.MeshFilter(sph_mesh)
cell_filter = openmc.CellFilter([cell1])
tally1 = openmc.Tally()
tally1.filters = [sph_mesh_filter]
tally1.scores = ['flux']
tally2 = openmc.Tally()
tally2.filters = [cell_filter]
tally2.scores = ['flux']
model.tallies = openmc.Tallies([tally1, tally2])
# Run OpenMC
sp_filename = model.run()
# Get flux for each of the two tallies
with openmc.StatePoint(sp_filename) as sp:
t1 = sp.tallies[tally1.id]
t2 = sp.tallies[tally2.id]
mean1 = t1.mean.ravel()[0]
mean2 = t2.mean.ravel()[0]
# The two tallies should be exactly the same
assert mean1 == pytest.approx(mean2)
def test_get_reshaped_data(run_in_tmpdir):
"""Test that expanding MeshFilter dimensions works as expected"""