fem theory final
TRANSCRIPT
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Finite Element Method
A presentation byProf. S.V. Kulkarni
Electrical Engineering Department
IIT Bombay
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Main steps of the FEM method
Discretization into "elements"
FE formulation: Approximation of PDE over elements
Assembly of element equations
Solution of global linear system
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Classification of approximation Methods
Minimization of functional -
`variational'/`Raleigh-Ritz'
Weighted residual methods
1. Point collocation2. Sub-domain collocation
3. Least squares
4. Galerkin
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methodsReferences: M. N. O. Sadiku, Numerical techniques in electromagnetics, 2nd Ed, CRC press, 2001. J. Jin, The finite element method in electromagnetics, John Wiley and Sons, 1993.
Find a function extremizing the functional subjected toboundary conditions.
dxyyxFyI
b
a= ),,()(
Aay =)(
Functional:
Boundary conditions: Bby =)(and
x is independent variable
y is dependent variable
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methodsyy +
)(xhy =
a b
y
x
dxdy
y
Variational symbol
y for 0=x
Differential symbol d
dy for finite dx
As FFFyyy ++ ,
yy
Fy
y
FF
+
=
Analogous differential is
ydy
Fdy
y
Fdx
x
FdF
+
+
=
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methods To have minimum value of functional
0=I)()( yIhyII +=
y hy +
I
y
[ ] [ ]( , , ) ( , , )b b
a a
F x y h y h dx F x y y dx = + +
[ ]dxyyxFhyyxhFIb
a
yy + ),,(),,( Expanding first term using Taylor series
Integrating by parts leads to
( ) ( ) ( )
b b
b
a
a a
F F d F I h x dx h x h x dx
y y dx y
+
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methodsb
a
b
a
xhy
Fdxxh
y
F
dx
d
y
FI
+
)()(
b
a
dxxhy
F
dx
d
y
FI )(
As 0)()( == bhah
In order to I vanish, the integrand must vanish
0=
y
F
dx
d
y
F
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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1 October 2009
Variational methods Necessary condition for functional to have extremum is to
satisfy Euler Lagrange equation by a given function.
0=
y
F
dx
d
y
F
This is for one independent and one dependent variable.
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methodsFunctional Euler Lagrange equation
dxyyxFyI
b
a= ),,()(
0=
y
F
dx
d
y
F
dsuuuyxFuIs
yx= ),,,,()( 0=
yx u
F
yu
F
xu
F
dsvvuuvuyxFuIs
yxyx= ),,,,,,,()( 0=
yx u
F
yu
F
xu
F
0=
yx v
F
yv
F
xv
F
dxyyyyxFyI
b
a
n
= ),...,,,,()( ( ) ( ) ( ) 0)1(....22
=++ nyn
nn
yyy Fdx
dF
dx
dF
dx
dF
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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1 October 2009
Variational methods Consider functional ( ) )1(),(
2
1)(
22
+= dxdyyxfI
s
yx
Euler Lagrange equation is
)2(0 =
yx
Fy
Fx
F
From (1) and (2), ),(2 yxf=
Solving Poissons equation is equivalent to extremizing thefunctional
( ) ),(21 22 yxfF yx +=
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Variational methodsEquation PDE Functional
[ ]dvIv
=
2||
2
1)( 0
2= Laplace
Poisson f= 2 [ ]dvfIv
= 2||21
)(2
Homogeneouswave
Inhomogeneouswave
Diffusion
0
22=+
k
01
2
2= tt
u
fk =+ 22
02
=+ tk
[ ]dvkI v=
222
||2
1
)(
dtdvu
It v
t
+=
2
2
2 1||2
1)(
[ ]dvkIt v
t = 2||21
)( 2
[ ]dvfkI v = 2||21
)(222
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Construction of functional from PDEs
Earlier, we have proved that Eulers equation produces the
governing differential equation corresponding to a given
functional or variational principle.
Now, let us see procedure of constructing a functional
formulation for a given differential equation.
Suppose, we have one dependent variable u and twoindependent variables x and y. We are interested in finding
the functional associated with the Poissons equation.2
2
2
( , )
0
0
u f x y
or u f
u f u
=
=
= Prof. SV Kulkarni, EE Dept,
Indian Institute of Technology Bombay
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(multiplied both sides by variation of the independent variable).
Integrate over the domain of problem (Iis a functional),
Integrating by parts the equation
2 0u f udxdy I = = 2
I u u dxdy f udxdy =
2 2
2 2
u u I udxdy f udxdy
x y
= +
( ) ( )u uu u u uu dx dy u dy dx f udxdy
x x x y y y
=
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Now
( ) ( )u uu u u uu dx dy u dy dx f udxdy x x x y y y
= ( ) ( )u uu u u u
f u dx dy udy u dx
x x y y x y
= +
2
F F is a function of onlyu usayx x
=
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
y
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The last two terms vanish if we assume either the
homogeneous Dirichlet or Neumann condition at theboundaries.
( )2
FF 2 2
uu u u uy
y x x x x x
= = =
( )
21
2
uu u
x x x
=
22
22
u u u u I fu dxdy udy udx x y x y
= +
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
is taken inside, since it isindependent of xby definition,
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Hence
And
22
2u u I fu dxdyx y
= +
221
22
u u I fu dxdy
x y
= +
Prof. SV Kulkarni, EE Dept,Indian Institute of Technology Bombay
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Example Consider a second order differential equation,
with boundary conditions
The exact solution of above equation is
2
21, 0 1
d ux x
dx= +