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• (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.
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.
• Governing Equations & Boundary Conditions
Elastic Problems
Thermal Problems
Fluid Flow
Electrostatics
etc
• Governing L(phi)+f=0
Equations:
• Boundary B(phi)+g=0
conditions:
Set of Simultaneous
algebraic equations
[K]{u}={F}
FEM
Approximate
[K]{u}={F} {u}=[K] {F}
Property
Behaviour
Action
Property [K] Behaviour {u} Action {F}
Elastic Stiffness Displacement Force
Thermal Conductivity Temperature Heat Source
Fluid Viscosity Velocity Body Force
Unknown
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
Finite Element
• Arbitrary Domain
Galerkin’s Approach
• Governing Equation
( )
( ) 0
L u P
L u P

 
( )
L u P e
 
0 1
u a x
a
 
Residual Error
Galerkin’s Approach
0
V
WedV 

Weighted
Function
‘W’ any arbitrary
value
If above integral is zero then
We will say that estimate of ubar
is an accurate approximation
0 1
u a x
a
 
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
Galerkin’s Method
3. Find such that
i
Q
0
V
WedV 

( ( ) ) 0
V
W L P
w dV
 

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
  
  
  
      
      
      



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
  
  
  
        
        
       

 
 


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

Stiffness Matrix
Integral Form
[ ] ([ ][ ]) [ ][ ][ ]
T
K D N C D N dxdydz

[ ]{ } { }
K u F

Compliance Matric
Elements Type Table
Simple Beam
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Presentation2.pptx

  • 1.
  • 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.
  • 4. • Governing Equations & Boundary Conditions Elastic Problems Thermal Problems Fluid Flow Electrostatics etc
  • 5. • Governing L(phi)+f=0 Equations: • Boundary B(phi)+g=0 conditions: Set of Simultaneous algebraic equations [K]{u}={F} FEM Approximate
  • 6. [K]{u}={F} {u}=[K] {F} Property Behaviour Action Property [K] Behaviour {u} Action {F} Elastic Stiffness Displacement Force Thermal Conductivity Temperature Heat Source Fluid Viscosity Velocity Body Force Unknown
  • 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
  • 9. Galerkin’s Approach • Governing Equation ( ) ( ) 0 L u P L u P    ( ) L u P e   0 1 u a x a   Residual Error
  • 10. Galerkin’s Approach 0 V WedV   Weighted Function ‘W’ any arbitrary value If above integral is zero then We will say that estimate of ubar is an accurate approximation 0 1 u a x a  
  • 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
  • 12. Galerkin’s Method 3. Find such that i Q 0 V WedV   ( ( ) ) 0 V W L P w dV   
  • 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 
  • 16. Stiffness Matrix Integral Form [ ] ([ ][ ]) [ ][ ][ ] T K D N C D N dxdydz  [ ]{ } { } K u F  Compliance Matric