Chapt 04 Lect02

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Lecture Notes: Introduction to Finite Element Method

Chapter 4. FE Modeling and Solution Techniques

© 1998 Yijun Liu, University of Cincinnati

107

II. Substructures (Superelements)

Substructuring is a process of analyzing a large structure as

a collection of (natural) components. The FE models for these
components are called substructures or superelements (SE).

Physical Meaning:

A finite element model of a portion of structure.

Mathematical Meaning:

Boundary matrices which are load and stiffness matrices

reduced (condensed) from the interior points to the exterior or
boundary points.

background image

Lecture Notes: Introduction to Finite Element Method

Chapter 4. FE Modeling and Solution Techniques

© 1998 Yijun Liu, University of Cincinnati

108

Advantages of Using Substructures/Superelements:

Large problems (which will otherwise exceed your

computer capabilities)

Less CPU time per run once the superelements have

been processed (i.e., matrices have been saved)

Components may be modeled by different groups

Partial redesign requires only partial reanalysis (reduced

cost)

Efficient for problems with local nonlinearities (such as

confined plastic deformations) which can be placed in
one superelement (residual structure)

Exact for static stress analysis

Disadvantages:

Increased overhead for file management

Matrix condensation for dynamic problems introduce

new approximations

...

background image

Lecture Notes: Introduction to Finite Element Method

Chapter 4. FE Modeling and Solution Techniques

© 1998 Yijun Liu, University of Cincinnati

109

III.

Equation Solving

Direct Methods (Gauss Elimination):

Solution time proportional to NB

2

(N is the dimension of

the matrix, B the bandwidth)

Suitable for small to medium problems, or slender

structures (small bandwidth)

Easy to handle multiple load cases

Iterative Methods:

Solution time is unknown beforehand

Reduced storage requirement

Suitable for large problems, or bulky structures (large

bandwidth, converge faster)

Need solving again for different load cases

background image

Lecture Notes: Introduction to Finite Element Method

Chapter 4. FE Modeling and Solution Techniques

© 1998 Yijun Liu, University of Cincinnati

110

Gauss Elimination - Example:





=





3

1

2

3

3

0

3

4

2

0

2

8

3

2

1

x

x

x

or

b

Ax

=

.

Forward Elimination:

Form

3

1

2

3

3

0

3

4

2

0

2

8

)

3

(

)

2

(

)

1

(

;

(1) + 4 x (2)

(2):

3

2

2

3

3

0

12

14

0

0

2

8

)

3

(

)

2

(

)

1

(

;

(2) +

3

14

(3)

(3):

12

2

2

2

0

0

12

14

0

0

2

8

)

3

(

)

2

(

)

1

(

;

Back Substitution:

5

.

1

8

/

)

2

2

(

5

14

/

)

12

2

(

6

2

/

12

2

1

3

2

3

=

+

=

=

+

=

=

=

x

x

x

x

x

or





=

6

5

5

1.

x

.

background image

Lecture Notes: Introduction to Finite Element Method

Chapter 4. FE Modeling and Solution Techniques

© 1998 Yijun Liu, University of Cincinnati

111

Iterative Method - Example:

The Gauss-Seidel Method

b

Ax

=

(A is symmetric)

or

.

...,

,

2

,

1

,

1

N

i

b

x

a

N

j

i

j

ij

=

=

=

Start with an estimate

)

( 0

x

and then iterate using the following:

.

...,

,

2

,

1

for

,

1

1

1

1

)

(

)

1

(

)

1

(

N

i

x

a

x

a

b

a

x

i

j

N

i

j

k

j

ij

k

j

ij

i

ii

k

i

=





=

=

+

=

+

+

In vector form,

[

]

,

)

(

)

1

(

1

)

1

(

k

T

L

k

L

D

k

x

A

x

A

b

A

x

=

+

+

where

=

ii

D

a

A

is the diagonal matrix of A,

L

A

is the lower triangular matrix of A,

such that

.

T

L

L

D

A

A

A

A

+

+

=

Iterations continue until solution x converges, i.e.

,

)

(

)

(

)

1

(

ε

+

k

k

k

x

x

x

where

ε

is the tolerance for convergence control.


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