2. • (FEM hereafter) is a numerical technique
finding approximate solutions for differential
equations.
• FEM solves the boundary or initial value
problem by dividing the complex geometry
into simple small elements.
• Approximated solutions for problems under
certain boundary condition can be obtained
by solving a system of equations.
3. Description
• FEM cuts a structure into several elements (pieces of the structure).
• Then reconnects elements at “nodes” as if nodes were pins or drops
of glue that hold elements together.
• This process results in a set of simultaneous algebraic equations.
7. It is very difficult to make the algebraic equations for the entire domain
• Divide the domain into a number of small, simple elements
• A field quantity is interpolated by a polynomial over an element
• Adjacent elements share the DOF at connecting nodes.
• Put all the element equations together
Finite Element: Small piece of structure
11. Galerkin’s Method
1. Select a set of basis functions
2. Weight Field
'
i
G s
i i
u QG
0 1
u a x
a
i i
W G
0 1
W b x
b
W should satisfy the BC of U
At X=0 u=0
At X=L u=0
At X=0 W=0
At X=L W=0
13. Governing Equations
/ / / 0
/ / / 0
/ / / 0
x yx z
y
x x
y xy zy
z yz xz z
y y y f
y y y f
y y y f
14. Glaerkin Method
• The approximate solution of the balance
equation
/ / / 0
/ / / 0
/ / / 0
x yx zx x
y xy zy
z yz xz z
y
R
Ry
Rz
x y y y f
y y y f
y y y f
15. Galerkin’s
• Reducing residual over the domain
i=‘1’ to ‘n’ (n=no of equations)
N=Shape Function
W=Weighted Function
d ....... d
i n
R
w w R
i i
w N