Source code for felupe.quadrature._triangle

# -*- coding: utf-8 -*-
"""
This file is part of FElupe.

FElupe is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

FElupe is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with FElupe.  If not, see <http://www.gnu.org/licenses/>.
"""

from types import SimpleNamespace

import numpy as np

from ._scheme import Scheme


[docs] class Triangle(Scheme): r"""A quadrature scheme suitable for Triangles of order 1, 2 or 3 on the interval :math:`[0, 1]`. Parameters ---------- order : int The order of the quadrature scheme. Notes ----- The approximation is given by .. math:: \int_A f(x) dA \approx \sum f(x_q) w_q with quadrature points :math:`x_q` and corresponding weights :math:`w_q` [1]_ [2]_. Examples -------- .. pyvista-plot:: :force_static: >>> import felupe as fem >>> >>> element = fem.Triangle() >>> quadrature = fem.TriangleQuadrature(order=1) >>> quadrature.plot( ... plotter=element.plot(add_point_labels=False, show_points=False), ... weighted=True, ... ).show() .. pyvista-plot:: :force_static: >>> import felupe as fem >>> >>> element = fem.QuadraticTriangle() >>> quadrature = fem.TriangleQuadrature(order=2) >>> quadrature.plot( ... plotter=element.plot(add_point_labels=False, show_points=False), ... weighted=True, ... ).show() .. pyvista-plot:: :force_static: >>> import felupe as fem >>> >>> element = fem.QuadraticTriangle() >>> quadrature = fem.TriangleQuadrature(order=5) >>> quadrature.plot( ... plotter=element.plot(add_point_labels=False, show_points=False), ... weighted=True, ... ).show() References ---------- .. [1] K. J. Bathe, Finite element procedures, 2nd ed. K. J. Bathe, Watertown, MA, 2014. .. [2] O. C. Zienkiewicz, R. L. Taylor and J. Z. Zhu, The Finite Element Method: Its Basis and Fundamentals, 7th ed., Elsevier, 2013. """ def __init__(self, order: int): scheme = SimpleNamespace() if order == 1: scheme.points = np.ones((1, 2)) / 3 scheme.weights = np.ones(1) / 2 elif order == 2: a = 1 / 6 b = 2 / 3 scheme.points = np.array([[a, a], [b, a], [a, b]]) scheme.weights = np.ones(3) / 6 elif order == 3: a = 3 / 5 b = 1 / 5 c = 1 / 3 d = 25 / 96 scheme.points = np.array([[c, c], [a, b], [b, a], [b, b]]) scheme.weights = np.array([-9 / 32, d, d, d]) elif order == 5: a = 0.1012865073235 b = 0.7974269853531 c = 0.4701420641051 d = 0.0597158717898 e = 0.3333333333333 f = 0.1259391805448 g = 0.1323941527885 h = 0.225 scheme.points = np.array( [[a, a], [b, a], [a, b], [c, d], [c, c], [d, c], [e, e]] ) scheme.weights = np.array([f, f, f, g, g, g, h]) / 2 else: raise NotImplementedError("order must be 1, 2, 3 or 5.") super().__init__(scheme.points, scheme.weights)