Linear Elasticity: a Deformed Beam

We first setup the domain and solution space, together with the vector valued discrete function \(u\) which describes the displacement field:

import matplotlib
matplotlib.rc( 'image', cmap='jet' )
from matplotlib import pyplot
from dune.fem.plotting import plotPointData as plot
from dune.grid import structuredGrid as leafGridView
from import lagrange as solutionSpace
from dune.fem.scheme import galerkin as solutionScheme

from ufl import *
import dune.ufl

gridView = leafGridView([0, 0], [1, 0.15], [100, 15])
space = solutionSpace(gridView, dimRange=2, order=2, storage="istl")
displacement = space.interpolate([0,0], name="displacement")

We want clamped boundary conditions on the left, i.e., zero displacement

x = SpatialCoordinate(space)
dbc = dune.ufl.DirichletBC(space, as_vector([0,0]), x[0]<1e-10)

Next we define the variational problem starting with a few constants describing material properties (\(\mu,\lambda,\rho\)) and the gravitational force

mu = 1
lamb = 0.1
rho = 1/1000.
g = 9.8

Next we define the strain and stress \begin{align*} \epsilon(u) &= \frac{1}{2}(\nabla u + \nabla u^T) \\ \sigma(u) &= 2\mu\epsilon(u) + \lambda\nabla\cdot u I \end{align*} where \(I\) is the identity matrix.

epsilon = lambda u: 0.5*(nabla_grad(u) + nabla_grad(u).T)
sigma = lambda u: lamb*nabla_div(u)*Identity(2) + 2*mu*epsilon(u)

Finally we define the variational problem \begin{align*} \int_\Omega \sigma(u)\colon\epsilon(v) = \int_\Omega (0,-\rho g)\cdot v \end{align*} and solve the system

u = TrialFunction(space)
v = TestFunction(space)
equation = inner(sigma(u), epsilon(v))*dx == dot(as_vector([0,-rho*g]),v)*dx

scheme = solutionScheme([equation, dbc], solver='cg',
            parameters = {"newton.linear.preconditioning.method": "ilu"} )
info = scheme.solve(target=displacement)

We can directly plot the magnitude of the displacement field and the stress

fig = pyplot.figure(figsize=(20,10))
displacement.plot(gridLines=None, figure=(fig, 121), colorbar="horizontal")
s = sigma(displacement) - (1./3)*tr(sigma(displacement))*Identity(2)
von_Mises = sqrt(3./2*inner(s, s))
plot(von_Mises, grid=gridView, gridLines=None, figure=(fig, 122), colorbar="horizontal")

Finally we can plot the actual displaced beam using a grid view that allows us to add a transformation of the geometry of each entity in the grid by prociding a grid function to the constructor. Note that this also allows for higher order transformation like in this case where the transformation is given by a second order Lagrange discrete function. We will highlight the flexibility of the # GeometryGridView in further examples:

from dune.fem.view import geometryGridView
position = space.interpolate( x+displacement, name="position" )
beam = geometryGridView( position )

This page was generated from the notebook elasticity_nb.ipynb and is part of the tutorial for the dune-fem python bindings DOI