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The corresponding files can be obtained from:

- Jupyter Notebook:
`axisymmetric_elasticity.ipynb`

- Python script:
`axisymmetric_elasticity.py`

# Axisymmetric formulation for elastic structures of revolution¶

In this numerical tour, we will deal with axisymmetric problems of elastic solids. We will consider a solid of revolution around a fixed axis \((Oz)\), the loading, boundary conditions and material properties being also invariant with respect to a rotation along the symmetry axis. The solid cross-section in a plane \(\theta=\text{cst}\) will be represented by a two-dimensional domain \(\omega\) for which the first spatial variable (`x[0]`

in FEniCS) will represent the radial
coordinate \(r\) whereas the second spatial variable will denote the axial variable \(z\).

## Problem position¶

We will investigate here the case of a hollow hemisphere of inner (resp. outer) radius \(R_i\) (resp. \(R_e\)). Due to the revolution symmetry, the 2D cross-section corresponds to a quarter of a hollow cylinder.

```
[9]:
```

```
from __future__ import print_function
from dolfin import *
from mshr import *
import matplotlib.pyplot as plt
%matplotlib notebook
Re = 11.
Ri = 9.
rect = Rectangle(Point(0., 0.), Point(Re, Re))
domain = Circle(Point(0., 0.), Re, 100) - Circle(Point(0., 0.), Ri, 100)
domain = domain - Rectangle(Point(0., -Re), Point(-Re, Re)) \
- Rectangle(Point(0., 0.), Point(Re, -Re))
mesh = generate_mesh(domain, 40)
plot(mesh)
class Bottom(SubDomain):
def inside(self, x, on_boundary):
return near(x[1], 0) and on_boundary
class Left(SubDomain):
def inside(self, x, on_boundary):
return near(x[0], 0) and on_boundary
class Outer(SubDomain):
def inside(self, x, on_boundary):
return near(sqrt(x[0]**2+x[1]**2), Re, 1e-1) and on_boundary
facets = MeshFunction("size_t", mesh, 1)
facets.set_all(0)
Bottom().mark(facets, 1)
Left().mark(facets, 2)
Outer().mark(facets, 3)
ds = Measure("ds", subdomain_data=facets)
```

## Definition of axisymmetric strains¶

For axisymmetric conditions, the unkown displacement field is of the form:

As a result, we will work with a standard VectorFunctionSpace of dimension 2. The associated strain components are however given by:

The previous relation involves explicitly the radial variable \(r\), which can be obtained from the SpatialCoordinate `x[0]`

, the strain-displacement relation is then defined explicitly in the `eps`

function.

Note: we could also express the strain components in the form of a vector of size 4 in alternative of the 3D tensor representation implemented below.

```
[10]:
```

```
x = SpatialCoordinate(mesh)
def eps(v):
return sym(as_tensor([[v[0].dx(0), 0, v[0].dx(1)],
[0, v[0]/x[0], 0],
[v[1].dx(0), 0, v[1].dx(1)]]))
E = Constant(1e5)
nu = Constant(0.3)
mu = E/2/(1+nu)
lmbda = E*nu/(1+nu)/(1-2*nu)
def sigma(v):
return lmbda*tr(eps(v))*Identity(3) + 2.0*mu*eps(v)
```

## Resolution¶

The rest of the formulation is similar to the 2D elastic case with a small difference in the integration measure. Indeed, the virtual work principle reads as:

where \(\boldsymbol{T}\) is the imposed traction on some part \(\partial \Omega_T\) of the domain boundary.

In axisymmetric conditions, the full 3D domain \(\Omega\) can be decomposed as \(\Omega = \omega \times [0;2\pi]\) where the interval represents the \(\theta\) variable. The integration measures therefore reduce to \(d\Omega = d\omega\cdot(rd\theta)\) and \(dS = ds\cdot(rd\theta)\) where \(dS\) is the surface integration measure on the 3D domain \(\Omega\) and \(ds\) its counterpart on the cross-section boundary \(\partial \omega\). Exploiting the invariance of all fields with respect to \(\theta\), the previous virtual work principle is reformulated on the cross-section only as follows:

where the \(2\pi\) constants arising from the integration on \(\theta\) have been cancelled on both sides. As a result, the bilinear and linear form are similar to the plane 2D case with the exception of the additional \(r\) term in the integration measures.

The final formulation is therefore pretty straightforward. Since a uniform pressure loading is applied on the outer boundary, we will also need the exterior normal vector to define the work of external forces form.

```
[11]:
```

```
n = FacetNormal(mesh)
p = Constant(10.)
V = VectorFunctionSpace(mesh, 'CG', degree=2)
du = TrialFunction(V)
u_ = TestFunction(V)
a = inner(sigma(du), eps(u_))*x[0]*dx
l = inner(-p*n, u_)*x[0]*ds(3)
u = Function(V, name="Displacement")
```

First, smooth contact conditions are assumed on both \(r=0\) (`Left`

) and \(z=0\) (`Bottom`

) boundaries. For this specific case, the solution corresponds to the classical hollow sphere under external pressure with a purely radial displacement:

```
[12]:
```

```
bcs = [DirichletBC(V.sub(1), Constant(0), facets, 1),
DirichletBC(V.sub(0), Constant(0), facets, 2)]
solve(a == l, u, bcs)
print("Inwards radial displacement at (r=Re, theta=0): \
{:1.7f} (FE) {:1.7f} (Exact)".format(-u(Re, 0.)[0], float(Re**3/(Re**3-Ri**3)*((1-2*nu)*Re+(1+nu)*Ri**3/2/Re**2)*p/E)))
print("Inwards radial displacement at (r=Ri, theta=0): \
{:1.7f} (FE) {:1.7f} (Exact)".format(-u(Ri, 0.)[0], float(Re**3/(Re**3-Ri**3)*((1-2*nu)*Ri+(1+nu)*Ri/2)*p/E)))
```

```
Inwards radial displacement at (r=Re, theta=0): 0.0018375 (FE) 0.0018387 (Exact)
Inwards radial displacement at (r=Ri, theta=0): 0.0020879 (FE) 0.0020894 (Exact)
```

```
[13]:
```

```
plt.figure()
plot(100*u, mode="displacement")
plt.show()
```

The second loading case corresponds to a fully clamped condition on \(z=0\), the vertical boundary remaining in smooth contact.

```
[14]:
```

```
bcs = [DirichletBC(V, Constant((0., 0.)), facets, 1),
DirichletBC(V.sub(0), Constant(0), facets, 2)]
solve(a == l, u, bcs)
plt.figure()
plot(mesh, linewidth=0.2)
plot(200*u, mode="displacement")
plt.show()
```