polishing

This commit is contained in:
Martin Diehl 2020-03-13 00:30:49 +01:00
parent 2f16c1cacf
commit 771663c944
2 changed files with 33 additions and 33 deletions

View File

@ -8,9 +8,9 @@ def Cauchy(P,F):
Parameters
----------
F : numpy.array of shape (:,3,3) or (3,3)
F : numpy.ndarray of shape (:,3,3) or (3,3)
Deformation gradient.
P : numpy.array of shape (:,3,3) or (3,3)
P : numpy.ndarray of shape (:,3,3) or (3,3)
1. Piola-Kirchhoff stress.
"""
@ -27,7 +27,7 @@ def deviatoric_part(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the deviatoric part is computed.
"""
@ -44,7 +44,7 @@ def eigenvalues(T_sym):
Parameters
----------
T_sym : numpy.array of shape (:,3,3) or (3,3)
T_sym : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric tensor of which the eigenvalues are computed.
"""
@ -59,7 +59,7 @@ def eigenvectors(T_sym,RHS=False):
Parameters
----------
T_sym : numpy.array of shape (:,3,3) or (3,3)
T_sym : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric tensor of which the eigenvectors are computed.
RHS: bool, optional
Enforce right-handed coordinate system. Default is False.
@ -81,7 +81,7 @@ def left_stretch(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the left stretch is computed.
"""
@ -94,7 +94,7 @@ def maximum_shear(T_sym):
Parameters
----------
T_sym : numpy.array of shape (:,3,3) or (3,3)
T_sym : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric tensor of which the maximum shear is computed.
"""
@ -109,7 +109,7 @@ def Mises_strain(epsilon):
Parameters
----------
epsilon : numpy.array of shape (:,3,3) or (3,3)
epsilon : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric strain tensor of which the von Mises equivalent is computed.
"""
@ -122,7 +122,7 @@ def Mises_stress(sigma):
Parameters
----------
sigma : numpy.array of shape (:,3,3) or (3,3)
sigma : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric stress tensor of which the von Mises equivalent is computed.
"""
@ -135,9 +135,9 @@ def PK2(P,F):
Parameters
----------
P : numpy.array of shape (:,3,3) or (3,3)
P : numpy.ndarray of shape (:,3,3) or (3,3)
1. Piola-Kirchhoff stress.
F : numpy.array of shape (:,3,3) or (3,3)
F : numpy.ndarray of shape (:,3,3) or (3,3)
Deformation gradient.
"""
@ -154,7 +154,7 @@ def right_stretch(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the right stretch is computed.
"""
@ -167,7 +167,7 @@ def rotational_part(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the rotational part is computed.
"""
@ -180,7 +180,7 @@ def spherical_part(T,tensor=False):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the hydrostatic part is computed.
tensor : bool, optional
Map spherical part onto identity tensor. Default is false
@ -206,7 +206,7 @@ def strain_tensor(F,t,m):
Parameters
----------
F : numpy.array of shape (:,3,3) or (3,3)
F : numpy.ndarray of shape (:,3,3) or (3,3)
Deformation gradient.
t : {V, U}
Type of the polar decomposition, V for left stretch tensor and U for right stretch tensor.
@ -241,7 +241,7 @@ def symmetric(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the symmetrized values are computed.
"""
@ -254,7 +254,7 @@ def transpose(T):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the transpose is computed.
"""
@ -268,7 +268,7 @@ def __polar_decomposition(T,requested):
Parameters
----------
T : numpy.array of shape (:,3,3) or (3,3)
T : numpy.ndarray of shape (:,3,3) or (3,3)
Tensor of which the singular values are computed.
requested : iterable of str
Requested outputs: R for the rotation tensor,
@ -296,7 +296,7 @@ def __Mises(T_sym,s):
Parameters
----------
T_sym : numpy.array of shape (:,3,3) or (3,3)
T_sym : numpy.ndarray of shape (:,3,3) or (3,3)
Symmetric tensor of which the von Mises equivalent is computed.
s : float
Scaling factor (2/3 for strain, 3/2 for stress).

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@ -5,7 +5,7 @@ import numpy as np
from . import version
class Table():
class Table:
"""Store spreadsheet-like data."""
def __init__(self,data,shapes,comments=None):