Mesh refinement

Mesh refinement#

Hide code cell source

from collections import OrderedDict

import matplotlib.pyplot as plt
import numpy as np
import shapely
import shapely.affinity
from skfem import Basis, ElementTriP0, adaptive_theta
from skfem.io.meshio import from_meshio

from femwell.maxwell.waveguide import compute_modes
from femwell.mesh import mesh_from_OrderedDict
polygons_paper = OrderedDict(
    left=shapely.LineString(((0, 0), (0, 1))),
    right=shapely.LineString(((1, 0), (1, 1))),
    top=shapely.LineString(((0, 1), (1, 1))),
    core=shapely.box(0, 0, 0.5, 0.5),
    clad=shapely.box(0, 0, 1, 1),
)

boundaries = [
    [lambda x: x[0] == np.min(x[0]), lambda x: x[0] == np.max(x[0])],
    [lambda x: x[0] == np.min(x[0]), lambda x: x[0] == np.max(x[0])],
    [lambda x: x[0] == np.min(x[0]), lambda x: x[1] == np.max(x[1])],
    [lambda x: x[0] == np.min(x[0]), lambda x: x[1] == np.max(x[1])],
]

epsilons_paper = [
    {"core": 2.25, "clad": 1},
    {"core": 8, "clad": 1},
    {"core": 1, "clad": 2.25},
    {"core": 1, "clad": 8},
]

neff_values_paper = [1.27627404, 2.65679692, 1.387926425, 2.761465320]
num = 1

mesh = from_meshio(
    mesh_from_OrderedDict(polygons_paper, {}, default_resolution_max=0.08, filename="mesh.msh")
)
mesh.draw().show()
../../_images/26861e6f239306c68d021e6c427bbbb3147ed4ee2580bc7416ebba29b8ab5e18.png
errors = []
nelements = []

for i in range(20):
    basis0 = Basis(mesh, ElementTriP0())
    epsilon = basis0.zeros()
    for subdomain, e in epsilons_paper[num].items():
        epsilon[basis0.get_dofs(elements=subdomain)] = e

    modes = compute_modes(
        basis0, epsilon, wavelength=1.5, order=1, metallic_boundaries=boundaries[num]
    )
    modes[0].plot(modes[0].E.real, direction="x")
    plt.show()
    error = modes[0].n_eff.real - neff_values_paper[num]
    errors.append(error)
    nelements.append(mesh.nelements)
    elements_to_refine = adaptive_theta(modes[0].eval_error_estimator(), theta=0.5)
    print(
        f"Error {i:2d}: {error: .7f},\tElements: {mesh.nelements:10d}\tSelected: {len(elements_to_refine)}"
    )

    fig, ax = plt.subplots(1, 2)
    for a in ax:
        a.set_aspect("equal")
    mesh.draw(ax=ax[0])
    mesh_restricted = mesh.restrict(elements=elements_to_refine)
    mesh_restricted.draw(color="red", linewidth=2, ax=ax[0])
    mesh = mesh.refined(elements_to_refine)
    mesh.draw(ax=ax[1])
    mesh_restricted.draw(color="red", linewidth=2, ax=ax[1]).show()

fig, axs = plt.subplots(2, 1)
axs[0].plot(errors, label="Error")
axs[0].axhline(y=0, color="r", linestyle="-")
axs[0].set_ylabel("Error")
axs[1].plot(nelements)
axs[1].semilogy()
axs[1].set_xlabel("Iteration")
axs[1].set_ylabel("Number of elements")
plt.show()
../../_images/35a5756924fc318f675312aba1328c57fd0d14ad1915e3c24251ba538674a781.png
Named boundaries invalidated by a call to Mesh.refined()
Error  0: -0.0009402,	Elements:        484	Selected: 8
../../_images/2c3ded55189807ba6eed7af59ef3897ca343aae261c36ae50d3e35d3e8b83a13.png ../../_images/992b21c5fb056f727ae4a6ffdb605cc6facbfbcf4f25608b02c53562e170b52b.png
Error  1: -0.0009728,	Elements:        534	Selected: 26
../../_images/48c6d7354680881f913cf2265093cad0aa4017129e00376347d0f6f17f928993.png ../../_images/74ba2c909a2db64ed588268881df17399ae525227e76e1395c53d2fb2b9bc6cf.png
Error  2: -0.0009282,	Elements:        697	Selected: 11
../../_images/b351378b740b5605c79463499eabef172e0f22e8bb879489c36a5151d64fc5c0.png ../../_images/3e0853cd5a059de568f28742f04a94e8e65ddad51d1ddb6047a84efb1cc78f98.png
Error  3: -0.0008647,	Elements:        778	Selected: 72
../../_images/3d876561da18f6d6bbb93a5abd1dbd8b808eba53627718d1494eff4961b828ad.png ../../_images/ef3141a0035d26f46572a4f184ea6214f7c941fa0e01751f76976770acfaefa7.png
Error  4: -0.0005305,	Elements:       1174	Selected: 44
../../_images/4c8b87869dbff8dac287ea91fc7815514b295586fa9f2d89f4b3acc7b7a5dd22.png ../../_images/5c1c54787c164888a01ecff78fe937ef2d1f2b61de8b244d7ce0d2c00456a896.png
Error  5: -0.0004795,	Elements:       1442	Selected: 120
../../_images/80ad7423ff3e8efbd99d1cdbd83b52c32bc5b8c6ee0bf9ae9233f3084717f723.png ../../_images/5a3cdf894037f06551dd41a0849dac160995ddb169d2d0e5c2ebcb17c7a8bd6d.png
Error  6: -0.0003474,	Elements:       2147	Selected: 100
../../_images/50a9dce32e2697f78dfbcaf5a6f1db21fc3c18d780c1aef125e9c94dfff5677a.png ../../_images/3bc3fab3f0c28ba4323617805a2311dc2c3ece3e2faca8670ff73d99c6c41bd5.png
Error  7: -0.0002198,	Elements:       2732	Selected: 248
../../_images/ebb6c02d8dbb1a3d6293041b1fade3881e9d960e07c4cbc72e5293bd1d6103c3.png ../../_images/55190f73d9057f9a8528012a6986bb955b4f7b4f41bfb0127037894c1528d778.png
Error  8: -0.0001822,	Elements:       4046	Selected: 247
../../_images/a4568a8f6185a38e535c4547810848651aa49b64568952bdad1e7eb0634ede3b.png ../../_images/bac521ab34df577d4927316738774fb9afef3bf27fc3be353ec97713c516c5fd.png
Error  9: -0.0001337,	Elements:       5551	Selected: 482
../../_images/5e8261bf0bfef630771bc9af71111aac5db11afa31670f18f6492c45822e46a9.png ../../_images/b3cbf47f60655995b5fb54f558d13a111a0646ffc8676ff73eb9b2501e7bfebf.png
Error 10: -0.0000891,	Elements:       8213	Selected: 488
../../_images/b56e85e645f47946bc0ecdd80ba9283c2d33695522a0d9b118719b4e2b77c4f9.png ../../_images/47edafb5fa83d9adc023454d701983b36a9615bc7a59487e5535c8f0e1b7d685.png
Error 11: -0.0000643,	Elements:      11156	Selected: 994
../../_images/fb6309379c6dd2bb2a5c8835a2807c583f0eb8862a63f8da7752a5202a1c75a0.png ../../_images/d692db6839bb046c4d423feb22b9153f731e557a65abce115449f7d7fff9e46b.png
Error 12: -0.0000486,	Elements:      16390	Selected: 853
../../_images/7859ab803825e7e6b0d8fd7545c896e979bc9c008b18ba5598472fad62183306.png ../../_images/9722c54fa0cb0baeb04d44320dfa067e7775f85894b53857fd4a7b3506d0fd63.png
Error 13: -0.0000372,	Elements:      21480	Selected: 1874
../../_images/0443b97fd3659823438cd0f92b60185d97a5d80106472bafa060ac4097052d95.png ../../_images/0020c31091df6ec86017810ba73cf5b5de21cba857f2a4fc929282271fad6525.png
Error 14: -0.0000250,	Elements:      31266	Selected: 1417
../../_images/1bb0c2a8624d1d34d0466c8000b56a59ccd0cfb926e476e89add14981fd299be.png ../../_images/98633fe19567edd5e34ebc069bc1bdd784680ce95c8f5d0c8ff91f5eaa12b319.png
Error 15: -0.0000200,	Elements:      40060	Selected: 2756
../../_images/88f58e90167feb5aecc7f36b955e112c2821746c0a4e540e733065018cc9d2b5.png ../../_images/7d09e9b0d9b9ecd94f36e12018211f29deafaaa6fd61f8003e66d771a7395a74.png
Error 16: -0.0000140,	Elements:      54708	Selected: 4203
../../_images/3647d28334afffe14533c795a44833f585b67bdecc008e7b8bc0e371aebc5a26.png ../../_images/f245e8c7c935b4376388a26a490ce08740ba145532007e975f808573b14b7ea9.png
Error 17: -0.0000108,	Elements:      78269	Selected: 3754
../../_images/d4234c263986b032ea71c27da1a89eec81934d820b4b612a50bac3628fbbd27b.png ../../_images/41dc09aedc4bff86ad24ec1f4ae645e852228336ea6a17710a16da0ac882dd45.png
Error 18: -0.0000079,	Elements:      99379	Selected: 6361
../../_images/3973ecb94ce0e72385d5d703d70001a4a4357728db8a2dd6ac230157c920bdd2.png ../../_images/bdf60b996a4cc6478a78af4e50eacae427ac0aaa10ec06f2a7e1758b8a6fcabf.png
Error 19: -0.0000062,	Elements:     133490	Selected: 7457
../../_images/4fd76e1f503008b2e26aec4973c3cd257d425af90f87a971f1a3ece2d00a19e8.png ../../_images/14f043edddb794c713573057d7016a1f6b6267631ceff1e4feb9452950c0d36b.png