Source code for felupe.mechanics._step
# -*- 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/>.
"""
import numpy as np
from ..dof import apply, partition
from ..tools import newtonrhapson
[docs]
class Step:
"""A Step with multiple substeps, subsequently depending on the solution
of the previous substep.
Parameters
----------
items : list of SolidBody, SolidBodyNearlyIncompressible, SolidBodyPressure, SolidBodyGravity, PointLoad, MultiPointConstraint or MultiPointContact
A list of items with methods for the assembly of sparse vectors/matrices.
ramp : dict, optional
A dict with :class:`~felupe.Boundary` or ``item``-keys which holds the array of
values to ramp (default is None). If None, only one substep is evaluated.
boundaries : dict of Boundary, optional
A dict with :class:`~felupe.Boundary` conditions (default is None).
Examples
--------
.. pyvista-plot::
>>> import felupe as fem
>>>
>>> mesh = fem.Cube(n=6)
>>> region = fem.RegionHexahedron(mesh)
>>> field = fem.FieldContainer([fem.Field(region, dim=3)])
>>>
>>> boundaries = fem.dof.symmetry(field[0])
>>> boundaries["clamped"] = fem.Boundary(field[0], fx=1, skip=(True, False, False))
>>> boundaries["move"] = fem.Boundary(field[0], fx=1, skip=(False, True, True))
>>>
>>> umat = fem.NeoHooke(mu=1, bulk=2)
>>> solid = fem.SolidBody(umat, field)
>>>
>>> move = fem.math.linsteps([0, 1], num=5)
>>> step = fem.Step(items=[solid], ramp={boundaries["move"]: move}, boundaries=boundaries)
>>>
>>> job = fem.Job(steps=[step]).evaluate()
>>> ax = solid.plot("Principal Values of Cauchy Stress").show()
"""
def __init__(self, items, ramp=None, boundaries=None):
self.items = items
if ramp is None:
self.ramp = {}
self.nsubsteps = 1
else:
self.ramp = dict(ramp)
self.nsubsteps = len(list(self.ramp.values())[0])
if boundaries is None:
boundaries = {}
self.boundaries = boundaries
[docs]
def generate(self, **kwargs):
"Yield all generated substeps."
substeps = np.arange(self.nsubsteps)
if "x0" not in kwargs.keys():
field = self.items[0].field
else:
field = kwargs["x0"]
stop = False
for substep in substeps:
if stop:
break
# update items
for item, value in self.ramp.items():
item.update(value[substep])
# update load case
dof0, dof1 = partition(field, self.boundaries)
ext0 = apply(field, self.boundaries, dof0)
# run newton-rhapson iterations
res = newtonrhapson(
items=self.items,
dof0=dof0,
dof1=dof1,
ext0=ext0,
**kwargs,
)
if not res.success:
stop = True
break
else:
yield res