elasticity_rhs Namespace Reference

Functions
	Det (mat)
	sigma_fun (j, ee, C, dim)
	linear_elasticity (disp_grad, def_grad)
	hooke (disp_grad, def_grad)
	saint_venant (disp_grad, def_grad)
	neo_hookean (disp_grad, def_grad)
	divergence (sigma)
	parse_args ()

Variables
	args = parse_args()
list	dims = [2, 3]
list	names = ["linear_elasticity", "hooke", "saint_venant", "neo_hookean"]
str	cpp = "#include <polyfem/autogen/auto_elasticity_rhs.hpp>\n\n\n"
str	hpp = "#pragma once\n\n#include <polyfem/utils/ElasticityUtils.hpp>\n#include <polyfem/utils/AutodiffTypes.hpp>\n#include <Eigen/Dense>\n\n"
	x = Symbol('x')
	y = Symbol('y')
	z = Symbol('z')
	X = Matrix([x, y])
	f = Matrix([Function('f0')(x, y), Function('f1')(x, y)])
	disp_grad = f.jacobian(X)
tuple	def_grad = (eye(dim) + disp_grad)
	sigma = hooke(disp_grad, def_grad)
	div = divergence(sigma)
	c99 = pretty_print.C99_print(div)
str	signature = "void " + name + "_" + str(dim) + "d_function(const AutodiffHessianPt &pt"
	path = os.path.abspath(args.output)

Function Documentation

Det()

elasticity_rhs.Det

(

mat

)

Definition at line 13 of file elasticity_rhs.py.

divergence()

elasticity_rhs.divergence

(

sigma

)

Definition at line 130 of file elasticity_rhs.py.

hooke()

elasticity_rhs.hooke	(		disp_grad,
			def_grad
	)

Definition at line 53 of file elasticity_rhs.py.

References sigma_fun().

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linear_elasticity()

elasticity_rhs.linear_elasticity	(		disp_grad,
			def_grad
	)

Definition at line 36 of file elasticity_rhs.py.

neo_hookean()

elasticity_rhs.neo_hookean	(		disp_grad,
			def_grad
	)

Definition at line 109 of file elasticity_rhs.py.

parse_args()

elasticity_rhs.parse_args

(

)

Definition at line 146 of file elasticity_rhs.py.

saint_venant()

elasticity_rhs.saint_venant	(		disp_grad,
			def_grad
	)

Definition at line 80 of file elasticity_rhs.py.

References sigma_fun().

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sigma_fun()

elasticity_rhs.sigma_fun	(		j,
			ee,
			C,
			dim
	)

Definition at line 27 of file elasticity_rhs.py.

Referenced by hooke(), and saint_venant().

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Variable Documentation

args

elasticity_rhs.args = parse_args()

Definition at line 155 of file elasticity_rhs.py.

c99

elasticity_rhs.c99 = pretty_print.C99_print(div)

Definition at line 192 of file elasticity_rhs.py.

cpp

str elasticity_rhs.cpp = "#include <polyfem/autogen/auto_elasticity_rhs.hpp>\n\n\n"

Definition at line 158 of file elasticity_rhs.py.

def_grad

tuple elasticity_rhs.def_grad = (eye(dim) + disp_grad)

Definition at line 179 of file elasticity_rhs.py.

dims

list elasticity_rhs.dims = [2, 3]

Definition at line 156 of file elasticity_rhs.py.

disp_grad

elasticity_rhs.disp_grad = f.jacobian(X)

Definition at line 178 of file elasticity_rhs.py.

div

elasticity_rhs.div = divergence(sigma)

Definition at line 190 of file elasticity_rhs.py.

f

elasticity_rhs.f = Matrix([Function('f0')(x, y), Function('f1')(x, y)])

Definition at line 173 of file elasticity_rhs.py.

hpp

str elasticity_rhs.hpp = "#pragma once\n\n#include <polyfem/utils/ElasticityUtils.hpp>\n#include <polyfem/utils/AutodiffTypes.hpp>\n#include <Eigen/Dense>\n\n"

Definition at line 159 of file elasticity_rhs.py.

names

list elasticity_rhs.names = ["linear_elasticity", "hooke", "saint_venant", "neo_hookean"]

Definition at line 157 of file elasticity_rhs.py.

path

elasticity_rhs.path = os.path.abspath(args.output)

Definition at line 239 of file elasticity_rhs.py.

sigma

elasticity_rhs.sigma = hooke(disp_grad, def_grad)

Definition at line 182 of file elasticity_rhs.py.

signature

str elasticity_rhs.signature = "void " + name + "_" + str(dim) + "d_function(const AutodiffHessianPt &pt"

Definition at line 223 of file elasticity_rhs.py.

x

elasticity_rhs.x = Symbol('x')

Definition at line 163 of file elasticity_rhs.py.

X

elasticity_rhs.X = Matrix([x, y])

Definition at line 172 of file elasticity_rhs.py.

y

elasticity_rhs.y = Symbol('y')

Definition at line 164 of file elasticity_rhs.py.

z

elasticity_rhs.z = Symbol('z')

Definition at line 165 of file elasticity_rhs.py.