Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

MaterialTensorGeneral: Add user-defined shape of statevars; Rename fun argument to f of microsphere.affine.force() #119

Merged
merged 6 commits into from
Aug 16, 2022
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions matadi/_templates.py
Original file line number Diff line number Diff line change
Expand Up @@ -188,9 +188,9 @@ def hessian(self, x, **kwargs):


class MaterialTensorGeneral(MaterialTensor):
def __init__(self, fun, nstatevars=1, x=None, triu=True, **kwargs):
def __init__(self, fun, statevars_shape=(1, 1), x=None, triu=True, **kwargs):
"""A (first Piola-Kirchhoff stress) tensor-based material definition with
``n`` state variables."""
state variables of a given shape."""

if x is None:
x = [Variable("F", 3, 3)]
Expand All @@ -202,6 +202,6 @@ def __init__(self, fun, nstatevars=1, x=None, triu=True, **kwargs):
pass

# add state variables
x.append(Variable("z", nstatevars, 1))
x.append(Variable("z", *statevars_shape))

super().__init__(x=x, fun=fun, triu=triu, statevars=1, kwargs=kwargs)
10 changes: 10 additions & 0 deletions matadi/math.py
Original file line number Diff line number Diff line change
Expand Up @@ -74,6 +74,16 @@
zeros = SX.zeros


def zeros_like(T):

return zeros(T.shape)


def ones_like(T):

return ones(T.shape)


def invariants(T):

I1 = trace(T)
Expand Down
4 changes: 2 additions & 2 deletions matadi/models/_templates.py
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ def fun(x, C10, r, m, beta, bulk):
# for a pseudo-elastic material formulation
return eta * gradient(W, F) + gradient(U, F), Wmax

super().__init__(fun=fun, nstatevars=1, C10=C10, r=r, m=m, beta=beta, bulk=bulk)
super().__init__(fun=fun, statevars_shape=(1, 1), C10=C10, r=r, m=m, beta=beta, bulk=bulk)


class Morph(MaterialTensorGeneral):
Expand Down Expand Up @@ -59,7 +59,7 @@ def fun(x, p1, p2, p3, p4, p5, p6, p7, p8, bulk):

super().__init__(
fun=fun,
nstatevars=13,
statevars_shape=(13, 1),
p1=p1,
p2=p2,
p3=p3,
Expand Down
4 changes: 2 additions & 2 deletions matadi/models/microsphere/affine/_models.py
Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,7 @@ def microsphere_affine_tube(F, f, kwargs, quadrature=BazantOh(n=21)):


@displacement_pressure_split
def microsphere_affine_force(x, fun, *args, **kwargs):
def microsphere_affine_force(x, f, *args, **kwargs):
"""Micro-sphere model: Forces of affine stretch model as first Piola-
Kirchhoff stress tensor embedded into a (u/p)-framework."""

Expand All @@ -55,7 +55,7 @@ def microsphere_affine_force(x, fun, *args, **kwargs):
bulk = kwargs.pop("bulk")

# fiber forces and state variable update
f, statevars = fun(lam, statevars_n, *args, **kwargs)
f, statevars = f(lam, statevars_n, *args, **kwargs)

# Second Piola-Kirchhoff stress tensor
SG = reshape(sum1(f / lam * sphere.weights * sphere.bases), 3, 3)
Expand Down
2 changes: 1 addition & 1 deletion tests/test_microsphere.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ def test_microsphere_force():
umat = MaterialTensor(
x=[F, affine.force.p, Zn],
fun=affine.force,
kwargs={"fun": nh, "mu": 1.0, "bulk": 5000},
kwargs={"f": nh, "mu": 1.0, "bulk": 5000},
statevars=1,
triu=True,
)
Expand Down
10 changes: 7 additions & 3 deletions tests/test_template-materials.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

from matadi import MaterialTensorGeneral
from matadi.models import NeoHookeOgdenRoxburgh, Morph, neo_hooke, volumetric
from matadi.math import det, gradient
from matadi.math import det, gradient, ones_like, zeros_like


def fun(x, C10=0.5, bulk=5000):
Expand All @@ -12,13 +12,17 @@ def fun(x, C10=0.5, bulk=5000):

W = neo_hooke(F, C10)
U = volumetric(J, bulk)

statevars_old = x[-1]
statevars_new = ones_like(statevars_old) # only for testing
statevars_new = zeros_like(statevars_old)

return gradient(W, F) + gradient(U, F), x[-1]
return gradient(W, F) + gradient(U, F), statevars_new


def test_u_templates():

Custom = MaterialTensorGeneral(fun, nstatevars=1)
Custom = MaterialTensorGeneral(fun, statevars_shape=(1, 1))

# Material as a function of `F` and `p`
# with additional state variables `z`
Expand Down