Merge branch 'extra-documentation' into 'development'
improved docstrings See merge request damask/DAMASK!722
This commit is contained in:
commit
6fd30dd266
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@ -14,7 +14,7 @@ from . import _rotation
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def deformation_Cauchy_Green_left(F: _np.ndarray) -> _np.ndarray:
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def deformation_Cauchy_Green_left(F: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate left Cauchy-Green deformation tensor (Finger deformation tensor).
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Calculate left Cauchy-Green deformation tensor (Finger deformation tensor).
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Parameters
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Parameters
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@ -27,12 +27,18 @@ def deformation_Cauchy_Green_left(F: _np.ndarray) -> _np.ndarray:
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B : numpy.ndarray, shape (...,3,3)
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B : numpy.ndarray, shape (...,3,3)
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Left Cauchy-Green deformation tensor.
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Left Cauchy-Green deformation tensor.
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Notes
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-----
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.. math::
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\vb{B} = \vb{F} \vb{F}^\text{T}
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"""
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"""
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return _np.matmul(F,_tensor.transpose(F))
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return _np.matmul(F,_tensor.transpose(F))
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def deformation_Cauchy_Green_right(F: _np.ndarray) -> _np.ndarray:
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def deformation_Cauchy_Green_right(F: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate right Cauchy-Green deformation tensor.
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Calculate right Cauchy-Green deformation tensor.
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Parameters
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Parameters
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@ -45,12 +51,18 @@ def deformation_Cauchy_Green_right(F: _np.ndarray) -> _np.ndarray:
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C : numpy.ndarray, shape (...,3,3)
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C : numpy.ndarray, shape (...,3,3)
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Right Cauchy-Green deformation tensor.
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Right Cauchy-Green deformation tensor.
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Notes
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-----
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.. math::
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\vb{C} = \vb{F}^\text{T} \vb{F}
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"""
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"""
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return _np.matmul(_tensor.transpose(F),F)
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return _np.matmul(_tensor.transpose(F),F)
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def equivalent_strain_Mises(epsilon: _np.ndarray) -> _np.ndarray:
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def equivalent_strain_Mises(epsilon: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate the Mises equivalent of a strain tensor.
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Calculate the Mises equivalent of a strain tensor.
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Parameters
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Parameters
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@ -63,12 +75,23 @@ def equivalent_strain_Mises(epsilon: _np.ndarray) -> _np.ndarray:
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epsilon_vM : numpy.ndarray, shape (...)
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epsilon_vM : numpy.ndarray, shape (...)
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Von Mises equivalent strain of epsilon.
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Von Mises equivalent strain of epsilon.
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Notes
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-----
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The von Mises equivalent of a strain tensor is defined as:
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.. math::
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\epsilon_\text{vM} = \sqrt{2/3 \epsilon^\prime_{ij} \epsilon^\prime_{ij}}
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where :math:`\vb*{\epsilon}^\prime` is the deviatoric part
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of the strain tensor.
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"""
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"""
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return _equivalent_Mises(epsilon,2.0/3.0)
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return _equivalent_Mises(epsilon,2.0/3.0)
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def equivalent_stress_Mises(sigma: _np.ndarray) -> _np.ndarray:
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def equivalent_stress_Mises(sigma: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate the Mises equivalent of a stress tensor.
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Calculate the Mises equivalent of a stress tensor.
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Parameters
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Parameters
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@ -81,6 +104,17 @@ def equivalent_stress_Mises(sigma: _np.ndarray) -> _np.ndarray:
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sigma_vM : numpy.ndarray, shape (...)
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sigma_vM : numpy.ndarray, shape (...)
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Von Mises equivalent stress of sigma.
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Von Mises equivalent stress of sigma.
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Notes
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-----
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The von Mises equivalent of a stress tensor is defined as:
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.. math::
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\sigma_\text{vM} = \sqrt{3/2 \sigma^\prime_{ij} \sigma^\prime_{ij}}
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where :math:`\vb*{\sigma}^\prime` is the deviatoric part
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of the stress tensor.
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"""
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"""
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return _equivalent_Mises(sigma,3.0/2.0)
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return _equivalent_Mises(sigma,3.0/2.0)
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@ -105,7 +139,7 @@ def maximum_shear(T_sym: _np.ndarray) -> _np.ndarray:
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def rotation(T: _np.ndarray) -> _rotation.Rotation:
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def rotation(T: _np.ndarray) -> _rotation.Rotation:
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"""
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r"""
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Calculate the rotational part of a tensor.
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Calculate the rotational part of a tensor.
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Parameters
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Parameters
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@ -118,6 +152,17 @@ def rotation(T: _np.ndarray) -> _rotation.Rotation:
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R : damask.Rotation, shape (...)
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R : damask.Rotation, shape (...)
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Rotational part of the vector.
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Rotational part of the vector.
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Notes
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-----
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The rotational part is calculated from the polar decomposition:
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.. math::
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\vb{R} = \vb{T} \vb{U}^{-1} = \vb{V}^{-1} \vb{T}
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where :math:`\vb{V}` and :math:`\vb{U}` are the left
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and right stretch tensor, respectively.
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"""
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"""
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return _rotation.Rotation.from_matrix(_polar_decomposition(T,'R')[0])
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return _rotation.Rotation.from_matrix(_polar_decomposition(T,'R')[0])
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@ -212,7 +257,7 @@ def stress_second_Piola_Kirchhoff(P: _np.ndarray,
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def stretch_left(T: _np.ndarray) -> _np.ndarray:
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def stretch_left(T: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate left stretch of a tensor.
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Calculate left stretch of a tensor.
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Parameters
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Parameters
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@ -225,12 +270,23 @@ def stretch_left(T: _np.ndarray) -> _np.ndarray:
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V : numpy.ndarray, shape (...,3,3)
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V : numpy.ndarray, shape (...,3,3)
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Left stretch tensor from Polar decomposition of T.
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Left stretch tensor from Polar decomposition of T.
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Notes
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-----
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The left stretch tensor is calculated from the
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polar decomposition:
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.. math::
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\vb{V} = \vb{T} \vb{R}^\text{T}
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where :math:`\vb{R}` is a rotation.
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"""
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"""
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return _polar_decomposition(T,'V')[0]
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return _polar_decomposition(T,'V')[0]
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def stretch_right(T: _np.ndarray) -> _np.ndarray:
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def stretch_right(T: _np.ndarray) -> _np.ndarray:
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"""
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r"""
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Calculate right stretch of a tensor.
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Calculate right stretch of a tensor.
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Parameters
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Parameters
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@ -243,6 +299,17 @@ def stretch_right(T: _np.ndarray) -> _np.ndarray:
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U : numpy.ndarray, shape (...,3,3)
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U : numpy.ndarray, shape (...,3,3)
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Left stretch tensor from Polar decomposition of T.
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Left stretch tensor from Polar decomposition of T.
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Notes
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-----
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The right stretch tensor is calculated from the
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polar decomposition:
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.. math::
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\vb{U} = \vb{R}^\text{T} \vb{T}
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where :math:`\vb{R}` is a rotation.
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"""
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"""
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return _polar_decomposition(T,'U')[0]
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return _polar_decomposition(T,'U')[0]
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@ -260,6 +327,11 @@ def _polar_decomposition(T: _np.ndarray,
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Requested outputs: ‘R’ for the rotation tensor,
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Requested outputs: ‘R’ for the rotation tensor,
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‘V’ for left stretch tensor, and ‘U’ for right stretch tensor.
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‘V’ for left stretch tensor, and ‘U’ for right stretch tensor.
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Returns
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-------
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VRU : tuple of numpy.ndarray, shape (...,3,3)
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Requested components of the singular value decomposition.
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"""
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"""
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u, _, vh = _np.linalg.svd(T)
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u, _, vh = _np.linalg.svd(T)
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R = _np.einsum('...ij,...jk',u,vh)
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R = _np.einsum('...ij,...jk',u,vh)
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@ -290,6 +362,11 @@ def _equivalent_Mises(T_sym: _np.ndarray,
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s : float
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s : float
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Scaling factor (2/3 for strain, 3/2 for stress).
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Scaling factor (2/3 for strain, 3/2 for stress).
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Returns
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-------
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eq : numpy.ndarray, shape (...)
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Scaled second invariant of the deviatoric part of T_sym.
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"""
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"""
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d = _tensor.deviatoric(T_sym)
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d = _tensor.deviatoric(T_sym)
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return _np.sqrt(s*_np.sum(d**2.0,axis=(-1,-2)))
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return _np.sqrt(s*_np.sum(d**2.0,axis=(-1,-2)))
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