# -*- 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 os
from ..math import deformation_gradient as defgrad
from ..math import displacement as disp
from ..tools import logo, runs_on
def displacement(field, substep=None):
"Return the displacement vvectors."
return disp(field, dim=3)
def deformation_gradient(field, substep=None):
"Return the Deformation Gradient tensors."
return [defgrad(field).mean(-2).transpose([2, 0, 1])]
def log_strain_principal(field, substep=None):
"Return principal values of logarithmic strain tensors."
return [field.evaluate.log_strain(tensor=False)[::-1].mean(-2).T]
def log_strain(field, substep=None):
"Return Lagrangian logarithmic strain tensors."
return [field.evaluate.log_strain(tensor=True, asvoigt=True).mean(-2).T]
def print_header():
print("\n".join([logo(), runs_on(), "", "Run Job", "======="]))
[docs]
class Job:
r"""A job with a list of steps and a method to evaluate them.
Parameters
----------
steps : list of Step
A list with steps, where each step subsequently depends on the solution of the
previous step.
callback : callable, optional
A callable which is called after each completed substep. Function signature must
be ``lambda stepnumber, substepnumber, substep, **kwargs: None``, where
``substep`` is an instance of :class:`~felupe.tools.NewtonResult`. The field
container of the completed substep is available as ``substep.x``. Default
is ``callback=lambda stepnumber, substepnumber, substep, **kwargs: None``.
**kwargs : dict, optional
Optional keyword-arguments for the ``callback`` function.
Attributes
----------
steps : list of Step
A list with steps, where each step subsequently depends on the solution of the
previous step.
nsteps : int
The number of steps.
callback : callable
A callable which is called after each completed substep. Function signature must
be ``lambda stepnumber, substepnumber, substep: None``, where ``substep`` is an
instance of :class:`~felupe.tools.NewtonResult`. THe field container of the
completed substep is available as ``substep.x``.
timetrack : list of int
A list with times at which the results are written to the XDMF result file.
fnorms : list of list of float
List with norms of the objective function for each completed substep of each
step. See also class:`~felupe.tools.NewtonResult`.
kwargs : dict
Optional keyword-arguments for the ``callback`` function.
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()
>>> solid.plot("Principal Values of Cauchy Stress").show()
See Also
--------
Step : A Step with multiple substeps, subsequently depending on the solution
of the previous substep.
CharacteristicCurve : A job with a list of steps and a method to evaluate them.
Force-displacement curve data is tracked during evaluation for a given
:class:`~felupe.Boundary`.
tools.NewtonResult : A data class which represents the result found by
Newton's method.
"""
def __init__(
self,
steps,
callback=lambda stepnumber, substepnumber, substep, **kwargs: None,
**kwargs,
):
self.steps = steps
self.nsteps = len(steps)
self.callback = callback
self.timetrack = []
self.fnorms = []
self.kwargs = kwargs
def _write(self, writer, time, substep, point_data, cell_data):
field = substep.x
kwargs = dict(field=field, substep=substep)
writer.write_data(
time,
point_data={key: value(**kwargs) for key, value in point_data.items()},
cell_data={key: value(**kwargs) for key, value in cell_data.items()},
)
[docs]
def evaluate(
self,
filename=None,
mesh=None,
point_data=None,
cell_data=None,
point_data_default=True,
cell_data_default=True,
verbose=None,
parallel=False,
**kwargs,
):
"""Evaluate the steps.
Parameters
----------
filename : str or None, optional
The filename of the XDMF result file. Must include the file extension
``my_result.xdmf``. If None, no result file is writte during evaluation.
Default is None.
mesh : Mesh or None, optional
A mesh which is used for the XDMF time series writer. If None, it is taken
from the field of the first item of the first step if no keyword argument
``x0`` is given. If None and ``x0=field``, the mesh is taken from the ``x0``
field container. Default is None.
point_data : dict or None, optional
Additional dict of point-data for the meshio XDMF time series writer.
cell_data : dict or None, optional
Additional dict of cell-data for the meshio XDMF time series writer.
point_data_default : bool, optional
Flag to write default point-data to the XDMF result file. This includes
``"Displacement"``. Default is True.
cell_data_default : bool, optional
Flag to write default cell-data to the XDMF result file. This includes
``"Principal Values of Logarithmic Strain"``, ``"Logarithmic Strain"`` and
``"Deformation Gradient"``. Default is True.
verbose : bool or int or None, optional
Verbosity level to control how messages are printed during evaluation. If
1 or True and ``tqdm`` is installed, a progress bar is shown. If ``tqdm`` is
missing or verbose is 2, more detailed text-based messages are printed.
Default is None. If None, verbosity is set to True. If None and the
environmental variable FELUPE_VERBOSE is set and its value is not ``true``,
then logging is turned off.
parallel : bool, optional
Flag to use a threaded version of :func:`numpy.einsum` during assembly.
Requires ``einsumt``. This may add additional overhead to small-sized
problems. Default is False.
**kwargs : dict
Optional keyword arguments for :meth:`~felupe.Step.generate`. If
``parallel=True``, it is added as ``kwargs["parallel"] = True`` to the dict
of additional keyword arguments. If ``x0`` is present in ``kwargs.keys()``,
it is used as the mesh for the XDMF time series writer.
Returns
-------
Job
The job object.
Notes
-----
Requires ``meshio`` and ``h5py`` if ``filename`` is not None. Also requires
``tqdm`` for an interactive progress bar if ``verbose=True``.
See Also
--------
Step : A Step with multiple substeps, subsequently depending on the solution
of the previous substep.
CharacteristicCurve : A job with a list of steps and a method to evaluate them.
Force-displacement curve data is tracked during evaluation for a given
:class:`~felupe.Boundary` condition.
tools.NewtonResult : A data class which represents the result found by
Newton's method.
"""
if verbose is None:
FELUPE_VERBOSE = os.environ.get("FELUPE_VERBOSE")
if FELUPE_VERBOSE is None:
verbose = True
else:
verbose = FELUPE_VERBOSE == "true"
if verbose:
try:
from tqdm import tqdm
except ModuleNotFoundError:
verbose = 2
if verbose == 2:
print_header()
if parallel:
if "kwargs" not in kwargs.keys():
kwargs["kwargs"] = {}
kwargs["kwargs"]["parallel"] = True
time = 0
if filename is not None:
from meshio.xdmf import TimeSeriesWriter
if mesh is None:
if "x0" in kwargs.keys():
mesh = kwargs["x0"].region.mesh.as_meshio()
else:
mesh = self.steps[0].items[0].field.region.mesh.as_meshio()
pdata = point_data_default if point_data_default is True else {}
cdata = cell_data_default if cell_data_default is not None else {}
pdata = {}
cdata = {}
if point_data_default is True:
pdata = {"Displacement": displacement}
if cell_data_default is True:
cdata = {
"Principal Values of Logarithmic Strain": log_strain_principal,
"Logarithmic Strain": log_strain,
"Deformation Gradient": deformation_gradient,
}
if point_data is None:
point_data = {}
if cell_data is None:
cell_data = {}
else: # fake a mesh and a TimeSeriesWriter
from contextlib import nullcontext
TimeSeriesWriter = nullcontext
with TimeSeriesWriter(filename) as writer:
if filename is not None:
writer.write_points_cells(mesh.points, mesh.cells)
if verbose == 1:
total = sum([step.nsubsteps for step in self.steps])
progress_bar = tqdm(total=total, unit="substep")
for j, step in enumerate(self.steps):
newton_verbose = False
if verbose == 2:
print(f"Begin Evaluation of Step {j + 1}.")
newton_verbose = True
substeps = step.generate(verbose=newton_verbose, **kwargs)
for i, substep in enumerate(substeps):
self.fnorms.append(substep.fnorms)
if verbose == 2:
_substep = f"Substep {i + 1}/{step.nsubsteps}"
_step = f"Step {j + 1}/{self.nsteps}"
print(f"{_substep} of {_step} successful.")
self.callback(j, i, substep, **self.kwargs)
# update x0 after each completed substep
if "x0" in kwargs.keys():
kwargs["x0"].link(substep.x)
self.timetrack.append(time)
if filename is not None:
self._write(
writer=writer,
time=time,
substep=substep,
point_data={**pdata, **point_data},
cell_data={**cdata, **cell_data},
)
time += 1
if verbose == 1:
progress_bar.update(1)
if verbose == 1:
progress_bar.close()
return self
