sfepy.terms.terms_multilinear module¶

class sfepy.terms.terms_multilinear.ECauchyStressTerm(*args, **kwargs)[source]¶

Evaluate Cauchy stress tensor.

It is given in the usual vector form exploiting symmetry: in 3D it has 6 components with the indices ordered as $[11, 22, 33, 12, 13, 23]$ , in 2D it has 3 components with the indices ordered as $[11, 22, 12]$ .

Definition:

$\int_{\Omega} D_{ijkl} e_{kl}(\ul{w})$

Call signature:

de_cauchy_stress

(material, parameter)

Arguments:

material : $D_{ijkl}$
parameter : $\ul{w}$

arg_shapes = {'material': 'S, S', 'parameter': 'D'}¶

arg_types = ('material', 'parameter')¶

get_function(mat, parameter, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

name = 'de_cauchy_stress'¶

class sfepy.terms.terms_multilinear.EConvectTerm(*args, **kwargs)[source]¶

Nonlinear convective term.

Definition:

$\int_{\Omega} c ((\ul{u} \cdot \nabla) \ul{u}) \cdot \ul{v}$

Call signature:

de_convect	`(opt_material, virtual, state)`
	`(opt_material, parameter_1, parameter_2)`

Arguments:

material: $c$ (optional)
virtual/parameter_1: $\ul{v}$
state/parameter_2: $\ul{u}$

arg_shapes = [{'opt_material': '1, 1', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'parameter_1', 'parameter_2'))¶

get_function(coef, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_convect'¶

class sfepy.terms.terms_multilinear.EDiffusionTerm(*args, **kwargs)[source]¶

General diffusion term.

Definition:

$\int_{\Omega} K_{ij} \nabla_i q\, \nabla_j p$

Call signature:

de_diffusion	`(material, virtual, state)`
	`(material, parameter_1, parameter_2)`

Arguments:

material: $K_{ij}$
virtual/parameter_1: $q$
state/parameter_2: $p$

arg_shapes = {'material': 'D, D', 'parameter_1': 1, 'parameter_2': 1, 'state': 1, 'virtual': (1, 'state')}¶

arg_types = (('material', 'virtual', 'state'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, vvar, svar, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_diffusion'¶

class sfepy.terms.terms_multilinear.EDivGradTerm(*args, **kwargs)[source]¶

Vector field diffusion term.

Definition:

$\int_{\Omega} \nabla \ul{v} : \nabla \ul{u} \mbox{ , } \int_{\Omega} \nu\ \nabla \ul{v} : \nabla \ul{u}$

Call signature:

de_div_grad	`(opt_material, virtual, state)`
	`(opt_material, parameter_1, parameter_2)`

Arguments:

material: $\nu$ (viscosity, optional)
virtual/parameter_1: $\ul{v}$
state/parameter_2: $\ul{u}$

arg_shapes = [{'opt_material': '1, 1', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_div_grad'¶

class sfepy.terms.terms_multilinear.EDivTerm(*args, **kwargs)[source]¶

Weighted divergence term.

Definition:

$\int_{\Omega} \nabla \cdot \ul{v} \mbox { , } \int_{\Omega} c \nabla \cdot \ul{v}$

Call signature:

de_div	`(opt_material, virtual)`
	`(opt_material, parameter)`

Arguments:

material: $c$ (optional)
virtual/parameter: $\ul{v}$

arg_shapes = [{'opt_material': '1, 1', 'parameter': 'D', 'virtual': ('D', None)}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual'), ('opt_material', 'parameter'))¶

get_function(mat, virtual, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_div'¶

class sfepy.terms.terms_multilinear.EDotTerm(*args, **kwargs)[source]¶

Volume and surface $L^2(\Omega)$ weighted dot product for both scalar and vector fields. Can be evaluated. Can use derivatives.

Definition:

$\int_{\cal{D}} q p \mbox{ , } \int_{\cal{D}} \ul{v} \cdot \ul{u}\\ \int_{\cal{D}} c q p \mbox{ , } \int_{\cal{D}} c \ul{v} \cdot \ul{u}\\ \int_{\cal{D}} \ul{v} \cdot (\ull{c}\, \ul{u})$

Call signature:

de_dot	`(opt_material, virtual, state)`
	`(opt_material, parameter_1, parameter_2)`

Arguments:

material: $c$ or $\ull{c}$ (optional)
virtual/parameter_1: $q$ or $\ul{v}$
state/parameter_2: $p$ or $\ul{u}$

arg_shapes = [{'opt_material': '1, 1', 'parameter_1': 1, 'parameter_2': 1, 'state': 1, 'virtual': (1, 'state')}, {'opt_material': None}, {'opt_material': '1, 1', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}, {'opt_material': 'D, D'}, {'opt_material': None}, {'opt_material': '1, 1', 'parameter_1': 'N', 'parameter_2': 'N', 'state': 'N', 'virtual': ('N', 'state')}, {'opt_material': 'N, N'}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = ('cell', 'facet')¶

modes = ('weak', 'eval')¶

name = 'de_dot'¶

class sfepy.terms.terms_multilinear.EGradTerm(*args, **kwargs)[source]¶

Weighted gradient term.

Definition:

$\int_{\Omega} \nabla \ul{v} \mbox { , } \int_{\Omega} c \nabla \ul{v} \mbox { , } \int_{\Omega} \ul{c} \cdot \nabla \ul{v} \mbox { , } \int_{\Omega} \ull{c} \cdot \nabla \ul{v}$

Call signature:

de_grad

(opt_material, parameter)

Arguments:

material: $c$ (optional)
virtual/parameter: $\ul{v}$

arg_shapes = [{'opt_material': '1, 1', 'parameter': 'N'}, {'opt_material': 'N, 1'}, {'opt_material': 'N, N'}, {'opt_material': None}]¶

arg_types = ('opt_material', 'parameter')¶

get_function(mat, virtual, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

name = 'de_grad'¶

class sfepy.terms.terms_multilinear.EIntegrateOperatorTerm(*args, **kwargs)[source]¶

Volume and surface integral of a test function weighted by a scalar function $c$ .

Definition:

$\int_{\cal{D}} q \mbox{ or } \int_{\cal{D}} c q$

Call signature:

de_integrate

(opt_material, virtual)

Arguments:

material : $c$ (optional)
virtual : $q$

arg_shapes = [{'opt_material': '1, 1', 'virtual': (1, None)}, {'opt_material': None}]¶

arg_types = ('opt_material', 'virtual')¶

get_function(mat, virtual, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = ('cell', 'facet')¶

name = 'de_integrate'¶

class sfepy.terms.terms_multilinear.ELaplaceTerm(*args, **kwargs)[source]¶

Laplace term with $c$ coefficient. Can be evaluated. Can use derivatives.

Definition:

$\int_{\Omega} \nabla q \cdot \nabla p \mbox{ , } \int_{\Omega} c \nabla q \cdot \nabla p$

Call signature:

de_laplace	`(opt_material, virtual, state)`
	`(opt_material, parameter_1, parameter_2)`

Arguments:

material: $c$
virtual/parameter_1: $q$
state/parameter_2: $p$

arg_shapes = [{'opt_material': '1, 1', 'parameter_1': 1, 'parameter_2': 1, 'state': 1, 'virtual': (1, 'state')}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_laplace'¶

class sfepy.terms.terms_multilinear.ELinearConvectTerm(*args, **kwargs)[source]¶

Linearized convective term.

Definition:

$\int_{\Omega} ((\ul{w} \cdot \nabla) \ul{u}) \cdot \ul{v}$

Call signature:

de_lin_convect	`(virtual, parameter, state)`
	`(parameter_1, parameter_2, parameter_3)`

Arguments:

virtual/parameter_1: $\ul{v}$
parameter/parameter_2: $\ul{w}$
state/parameter_3: $\ul{u}$

arg_shapes = {'parameter': 'D', 'parameter_1': 'D', 'parameter_2': 'D', 'parameter_3': 'D', 'state': 'D', 'virtual': ('D', 'state')}¶

arg_types = (('virtual', 'parameter', 'state'), ('parameter_1', 'parameter_2', 'parameter_3'))¶

get_function(virtual, parameter, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_lin_convect'¶

class sfepy.terms.terms_multilinear.ELinearElasticTerm(*args, **kwargs)[source]¶

General linear elasticity term, with $D_{ijkl}$ given in the usual matrix form exploiting symmetry: in 3D it is $6\times6$ with the indices ordered as $[11, 22, 33, 12, 13, 23]$ , in 2D it is $3\times3$ with the indices ordered as $[11, 22, 12]$ .

Definition:

$\int_{\Omega} D_{ijkl}\ e_{ij}(\ul{v}) e_{kl}(\ul{u})$

Call signature:

de_lin_elastic	`(material, virtual, state)`
	`(material, parameter_1, parameter_2)`

Arguments:

material: $D_{ijkl}$
virtual/parameter_1: $\ul{v}$
state/parameter_2: $\ul{u}$

arg_shapes = {'material': 'S, S', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}¶

arg_types = (('material', 'virtual', 'state'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_lin_elastic'¶

class sfepy.terms.terms_multilinear.ELinearTractionTerm(*args, **kwargs)[source]¶

Linear traction term. The material parameter can have one of the following shapes:

1 or (1, 1) - a given scalar pressure

(D, 1) - a traction vector

(S, 1) or (D, D) - a given stress in symmetric or non-symmetric tensor storage (in symmetric storage indicies are order as follows: 2D: [11, 22, 12], 3D: [11, 22, 33, 12, 13, 23])

Definition:

$\int_{\Gamma} \ul{v} \cdot \ul{n} \mbox{ , } \int_{\Gamma} c\, \ul{v} \cdot \ul{n}\\ \int_{\Gamma} \ul{v} \cdot (\ull{\sigma}\, \ul{n}) \mbox{ , } \int_{\Gamma} \ul{v} \cdot \ul{f}$

Call signature:

de_surface_ltr	`(opt_material, virtual)`
	`(opt_material, parameter)`

Arguments:

material: $c$ , $\ul{f}$ , $\ul{\sigma}$ or $\ull{\sigma}$
virtual/parameter: $\ul{v}$

arg_shapes = [{'opt_material': 'S, 1', 'parameter': 'D', 'virtual': ('D', None)}, {'opt_material': None}, {'opt_material': '1, 1'}, {'opt_material': 'D, 1'}, {'opt_material': 'D, D'}]¶

arg_types = (('opt_material', 'virtual'), ('opt_material', 'parameter'))¶

get_function(traction, vvar, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet'¶

modes = ('weak', 'eval')¶

name = 'de_surface_ltr'¶

class sfepy.terms.terms_multilinear.ENonPenetrationPenaltyTerm(*args, **kwargs)[source]¶

Non-penetration condition in the weak sense using a penalty.

Definition:

$\int_{\Gamma} c (\ul{n} \cdot \ul{v}) (\ul{n} \cdot \ul{u})$

Call signature:

de_non_penetration_p

(material, virtual, state)

Arguments:

material : $c$
virtual : $\ul{v}$
state : $\ul{u}$

arg_shapes = {'material': '1, 1', 'state': 'D', 'virtual': ('D', 'state')}¶

arg_types = ('material', 'virtual', 'state')¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet'¶

name = 'de_non_penetration_p'¶

class sfepy.terms.terms_multilinear.ENonSymElasticTerm(*args, **kwargs)[source]¶

Elasticity term with non-symmetric gradient. The indices of matrix $D_{ijkl}$ are ordered as $[11, 12, 13, 21, 22, 23, 31, 32, 33]$ in 3D and as $[11, 12, 21, 22]$ in 2D.

Definition:

$\int_{\Omega} \ull{D} \nabla \ul{v} : \nabla \ul{u}$

Call signature:

de_nonsym_elastic	`(material, virtual, state)`
	`(material, parameter_1, parameter_2)`

Arguments:

material: $\ull{D}$
virtual/parameter_1: $\ul{v}$
state/parameter_2: $\ul{u}$

arg_shapes = {'material': 'D2, D2', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}¶

arg_types = (('material', 'virtual', 'state'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('weak', 'eval')¶

name = 'de_nonsym_elastic'¶

class sfepy.terms.terms_multilinear.EScalarDotMGradScalarTerm(*args, **kwargs)[source]¶

Volume dot product of a scalar gradient dotted with a material vector with a scalar.

Definition:

$\int_{\Omega} q \ul{y} \cdot \nabla p \mbox{ , } \int_{\Omega} p \ul{y} \cdot \nabla q$

Call signature:

de_s_dot_mgrad_s	`(material, virtual, state)`
	`(material, state, virtual)`
	`(material, parameter_1, parameter_2)`

Arguments 1:

material : $\ul{y}$
virtual : $q$
state : $p$

Arguments 2:

material : $\ul{y}$
state : $p$
virtual : $q$

arg_shapes = [{'material': 'D, 1', 'parameter_1': 1, 'parameter_2': 1, 'state/grad_state': 1, 'state/grad_virtual': 1, 'virtual/grad_state': (1, None), 'virtual/grad_virtual': (1, None)}]¶

arg_types = (('material', 'virtual', 'state'), ('material', 'state', 'virtual'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, var1, var2, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('grad_state', 'grad_virtual', 'eval')¶

name = 'de_s_dot_mgrad_s'¶

class sfepy.terms.terms_multilinear.EStokesTerm(*args, **kwargs)[source]¶

Stokes problem coupling term. Corresponds to weak forms of gradient and divergence terms.

Definition:

$\int_{\Omega} p\, \nabla \cdot \ul{v} \mbox{ , } \int_{\Omega} q\, \nabla \cdot \ul{u}\\ \int_{\Omega} c\, p\, \nabla \cdot \ul{v} \mbox{ , } \int_{\Omega} c\, q\, \nabla \cdot \ul{u}$

Call signature:

de_stokes	`(opt_material, virtual, state)`
	`(opt_material, state, virtual)`
	`(opt_material, parameter_v, parameter_s)`

Arguments 1:

material: $c$ (optional)
virtual/parameter_v: $\ul{v}$
state/parameter_s: $p$

Arguments 2:

material : $c$ (optional)
state : $\ul{u}$
virtual : $q$

arg_shapes = [{'opt_material': '1, 1', 'parameter_s': 1, 'parameter_v': 'D', 'state/div': 'D', 'state/grad': 1, 'virtual/div': (1, None), 'virtual/grad': ('D', None)}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'state', 'virtual'), ('opt_material', 'parameter_v', 'parameter_s'))¶

get_function(coef, vvar, svar, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

modes = ('grad', 'div', 'eval')¶

name = 'de_stokes'¶

class sfepy.terms.terms_multilinear.ETermBase(*args, **kwargs)[source]¶

Reserved letters:

c .. cells q .. quadrature points d-h .. DOFs axes r-z .. auxiliary axes

Layout specification letters:

c .. cells q .. quadrature points v .. variable component - matrix form (v, d) -> vector v*d g .. gradient component d .. local DOF (basis, node) 0 .. all material axes

build_expression(texpr, *eargs, mode=None, diff_var=None)[source]¶

can_backend = {'dask_single': <module 'dask.array' from '/home/eldaran/.local/lib/python3.10/site-packages/dask/array/__init__.py'>, 'dask_threads': <module 'dask.array' from '/home/eldaran/.local/lib/python3.10/site-packages/dask/array/__init__.py'>, 'jax': <module 'jax.numpy' from '/home/eldaran/.local/lib/python3.10/site-packages/jax/numpy/__init__.py'>, 'jax_vmap': <module 'jax.numpy' from '/home/eldaran/.local/lib/python3.10/site-packages/jax/numpy/__init__.py'>, 'numpy': <module 'numpy' from '/home/eldaran/.local/lib/python3.10/site-packages/numpy/__init__.py'>, 'numpy_loop': <module 'numpy' from '/home/eldaran/.local/lib/python3.10/site-packages/numpy/__init__.py'>, 'numpy_qloop': <module 'numpy' from '/home/eldaran/.local/lib/python3.10/site-packages/numpy/__init__.py'>, 'opt_einsum': <module 'opt_einsum' from '/home/eldaran/.local/lib/python3.10/site-packages/opt_einsum/__init__.py'>, 'opt_einsum_dask_single': <module 'dask.array' from '/home/eldaran/.local/lib/python3.10/site-packages/dask/array/__init__.py'>, 'opt_einsum_dask_threads': <module 'dask.array' from '/home/eldaran/.local/lib/python3.10/site-packages/dask/array/__init__.py'>, 'opt_einsum_loop': <module 'opt_einsum' from '/home/eldaran/.local/lib/python3.10/site-packages/opt_einsum/__init__.py'>, 'opt_einsum_qloop': <module 'opt_einsum' from '/home/eldaran/.local/lib/python3.10/site-packages/opt_einsum/__init__.py'>}¶

clear_cache()[source]¶

eval_complex(shape, fargs, mode='eval', term_mode=None, diff_var=None, **kwargs)[source]¶

eval_real(shape, fargs, mode='eval', term_mode=None, diff_var=None, **kwargs)[source]¶

static function_silent(out, eval_einsum, *args)[source]¶

static function_timer(out, eval_einsum, *args)[source]¶

get_eval_shape(*args, **kwargs)[source]¶

get_fargs(*args, **kwargs)[source]¶

get_normals(arg)[source]¶

get_operands(diff_var)[source]¶

get_paths(expressions, operands)[source]¶

layout_letters = 'cqgvd0'¶

make_function(texpr, *args, mode=None, diff_var=None)[source]¶

print_expressions(diff_var=None)[source]¶

set_backend(backend='numpy', optimize=True, layout=None, **kwargs)[source]¶

set_verbosity(verbosity=None)[source]¶

verbosity = 0¶

class sfepy.terms.terms_multilinear.ExpressionArg(**kwargs)[source]¶

static from_term_arg(arg, term)[source]¶

get_bf(expr_cache, cell_dependent=False)[source]¶

get_dofs(cache, expr_cache, oname)[source]¶

class sfepy.terms.terms_multilinear.ExpressionBuilder(n_add, cache)[source]¶

add_arg_dofs(iin, ein, name, n_components, iia=None)[source]¶

add_bf(iin, ein, name, cell_dependent=False)[source]¶

add_bfg(iin, ein, name)[source]¶

add_cell_scalar(name, cname)[source]¶

add_eye(iic, ein, name, iia=None)[source]¶

add_material_arg(arg, ii, ein)[source]¶

add_psg(iic, ein, name, iia=None)[source]¶

add_pvg(iic, ein, name, iia=None)[source]¶

add_qp_scalar(name, cname)[source]¶

add_state_arg(arg, ii, ein, modifier, diff_var)[source]¶

add_virtual_arg(arg, ii, ein, modifier)[source]¶

apply_layout(layout, operands, defaults=None, verbosity=0)[source]¶

build(texpr, *args, mode=None, diff_var=None)[source]¶

get_expressions(subscripts=None)[source]¶

static join_subscripts(subscripts, out_subscripts)[source]¶

letters = 'defgh'¶

make_eye(size)[source]¶

make_psg(dim)[source]¶

make_pvg(dim)[source]¶

print_shapes(subscripts, operands)[source]¶

transform(subscripts, operands, transformation='loop', **kwargs)[source]¶

class sfepy.terms.terms_multilinear.StokesTractionTerm(*args, **kwargs)[source]¶

Surface traction term for Stokes flow problem.

Definition:

$\int_{\Gamma} \nu \ul{v}\cdot(\nabla \ul{u} \cdot \ul{n})$

Call signature:

de_stokes_traction	`(opt_material, virtual, state)`
	`(opt_material, parameter_1, parameter_2)`

Arguments:

material: $\nu$ (viscosity, optional)
virtual/parameter_1: $\ul{v}$
state/parameter_2: $\ul{u}$

arg_shapes = [{'opt_material': '1, 1', 'parameter_1': 'D', 'parameter_2': 'D', 'state': 'D', 'virtual': ('D', 'state')}, {'opt_material': None}]¶

arg_types = (('opt_material', 'virtual', 'state'), ('opt_material', 'parameter_1', 'parameter_2'))¶

get_function(mat, virtual, state, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet_extra'¶

modes = ('weak', 'eval')¶

name = 'de_stokes_traction'¶

class sfepy.terms.terms_multilinear.SurfaceFluxOperatorTerm(*args, **kwargs)[source]¶

Surface flux operator term.

Definition:

$\int_{\Gamma} q \ul{n} \cdot \ull{K} \cdot \nabla p \mbox{ , } \int_{\Gamma} p \ul{n} \cdot \ull{K} \cdot \nabla q$

Call signature:

de_surface_flux	`(material, virtual, state)`
	`(material, state, virtual)`
	`(material, parameter_1, parameter_2)`

Arguments 1:

material : $\ull{K}$
virtual : $q$
state : $p$

Arguments 2:

material : $\ull{K}$
state : $p$
virtual : $q$

arg_shapes = [{'material': 'D, D', 'parameter_1': 1, 'parameter_2': 1, 'state/grad_state': 1, 'state/grad_virtual': 1, 'virtual/grad_state': (1, None), 'virtual/grad_virtual': (1, None)}]¶

arg_types = (('material', 'virtual', 'state'), ('material', 'state', 'virtual'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, var1, var2, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet_extra'¶

modes = ('grad_state', 'grad_virtual', 'eval')¶

name = 'de_surface_flux'¶

class sfepy.terms.terms_multilinear.SurfacePiezoFluxOperatorTerm(*args, **kwargs)[source]¶

Surface piezoelectric flux operator term.

Corresponds to the electric flux due to mechanically induced electrical displacement.

Definition:

$\int_{\Gamma} q g_{kij} e_{ij}(\ul{u}) n_k \mbox{ , } \int_{\Gamma} p g_{kij} e_{ij}(\ul{v}) n_k$

Call signature:

de_surface_piezo_flux	`(material, virtual, state)`
	`(material, state, virtual)`
	`(material, parameter_1, parameter_2)`

Arguments 1:

material : $g_{kij}$
virtual/parameter_1 : $q$
state/parameter_2 : $\ul{u}$

Arguments 2:

material : $g_{kij}$
state : $p$
virtual : $\ul{v}$

arg_shapes = [{'material': 'D, S', 'parameter_1': 1, 'parameter_2': 'D', 'state/grad_state': 'D', 'state/grad_virtual': 1, 'virtual/grad_state': (1, None), 'virtual/grad_virtual': ('D', None)}]¶

arg_types = (('material', 'virtual', 'state'), ('material', 'state', 'virtual'), ('material', 'parameter_1', 'parameter_2'))¶

get_function(mat, var1, var2, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet_extra'¶

modes = ('grad_state', 'grad_virtual', 'eval')¶

name = 'de_surface_piezo_flux'¶

class sfepy.terms.terms_multilinear.SurfacePiezoFluxTerm(*args, **kwargs)[source]¶

Surface piezoelectric flux term.

Corresponds to the electric flux due to mechanically induced electrical displacement.

Definition:

$\int_{\Gamma} g_{kij} e_{ij}(\ul{u}) n_k$

Call signature:

ev_surface_piezo_flux

(material, parameter)

Arguments 1:

material : $g_{kij}$
parameter : $\ul{u}$

arg_shapes = {'material': 'D, S', 'parameter': 'D'}¶

arg_types = ('material', 'parameter')¶

get_function(mat, var1, mode=None, term_mode=None, diff_var=None, **kwargs)[source]¶

integration = 'facet_extra'¶

modes = ('eval',)¶

name = 'ev_surface_piezo_flux'¶

sfepy.terms.terms_multilinear.append_all(seqs, item, ii=None)[source]¶

sfepy.terms.terms_multilinear.collect_modifiers(modifiers)[source]¶

sfepy.terms.terms_multilinear.find_free_indices(indices)[source]¶

sfepy.terms.terms_multilinear.get_einsum_ops(eargs, ebuilder, expr_cache)[source]¶

sfepy.terms.terms_multilinear.get_loop_indices(subs, loop_index)[source]¶

sfepy.terms.terms_multilinear.get_output_shape(out_subscripts, subscripts, operands)[source]¶

sfepy.terms.terms_multilinear.get_sizes(indices, operands)[source]¶

sfepy.terms.terms_multilinear.get_slice_ops(subs, ops, loop_index)[source]¶

sfepy.terms.terms_multilinear.parse_term_expression(texpr)[source]¶

sfepy.terms.terms_multilinear.sym2nonsym(sym_obj, axes=[3])[source]¶