• No results found

Deriving Shape Functions and Verified Hermite Functions for a Two Node Element with Three Primary Variables at Each Node

N/A
N/A
Protected

Academic year: 2020

Share "Deriving Shape Functions and Verified Hermite Functions for a Two Node Element with Three Primary Variables at Each Node"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

(1)

Deriving Shape Functions and Verified

Hermite Functions for a Two Node Element

with Three Primary Variables at Each Node

P. Reddaiah#1

# Professor of Mathematics, Global College of Engineering and Technology, kadapa, Andhra Pradesh, India.

Abstract In this paper, I derived shape functions for a two node element with three primary variables

, , , w

W k

x   

and also I verified three

verification conditions for shape functions. First verification condition at node 1 is

1 2 3 4 5

6

( ) 1 and 0, 0, 0, 0,

0

i N N N N N

N

    

3

2 1 4

5 6

( ) 1 and 0, 0, 0,

0, 0

N

N N N

ii

x x x x

N N

x x

   

     

2 2 2

3 1 2

2 2 2

2 2

2

5 6

4

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

iii

x x x

N N

N

x x x

  

  

  

 

  

Second Verification condition at node 2 is

4 1 2 3

5 6

( ) 1 and 0, 0, 0,

0, 0

iv N N N N

N N

   

 

5 1 2

3 4 6

( ) 1 and 0, 0,

0, 0, 0

N N N

v

x x x

N N N

x x x

  

  

  

  

2 2 2

6 1 2

2 2 2

2 2 2

3 4 5

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

vi

x x x

N N N

x x x

  

  

Third Verification condition is N1N4 1. For computational purpose I used Mathematica 9 Software [2].

Keywords Primary variables, Hermite Functions, Two node element, Shape functions.

I. INTRODUCTION

Two-dimensional problems involve the specification of the secondary variables on discrete portions of the boundary of the domain. In such cases, one can use appropriate one-dimensional interpolation functions to compute the contributions of the specified secondary variables to the nodal force.

II. GEOMETRICAL DESCRIPTION

.1 Two noded Beam element

varying from 0 to h

Figure

2 2 two noded beam element shown in Figure.1 in which nodal unknowns are

W the displacement W and Slope =

x W and primary unknown k=

x

A

 

 

(2)

III. DERIVING SHAPE FUNCTIONS FOR A TWO NODE ELEMENT WITH THREE PRIMARY VARIABLES AT EACH NODE

Since the element in figure.1 has six degrees of freedom,We have to select the polynomial with only 6 constants. In this polynomial after substituting boundary conditions we get shape functions this we can take as first order Hermitian Polynomials as shape functions.

2 3

1 2 3 4

4 5

5 6

( )

+A x +A x (1)

W xAA xA xA x

1 2 3 4 5 6

W is the transverse displacement and A , , , ,A ,A are polynomial Coefficients

Where

A A A

If higher order (i.e., higher than cubic) approximation of w is desired, one must identify additional dependent (primary) unknowns at each of the two nodes. For example, if we a

2 2 dd

the primary unknown at each of the two nodes, there will be total of six conditions, and a fifth-order polynomial is required to interpolate the end conditions.

w as x

 

partially eq(1) w.r.t. 'x'

Differentiating

2

2 3 4

3 4

5 6

(1) 0 (1) (2 ) (3 )

(4 ) (5 )

W

A A x A x

x

A x A x

    

 

2 3 4

2 2 3 3 4 +4 5 5 6 (2)

W

A A x A x A x A x

x

partially eqation(2) w.r.t. 'x'

Differentiating

2

2

3 4 5

2

3 6

0 2 (1) 3 (2 ) 4 (3 )

5 (4 )

w

A A x A x

x

A x

 

2

2 3

3 4 5 6

2 2 6 12 20 (3)

W

A A x A x A x

x

2

1 1 2 1

the nodal conditions such that W

W=W , and =k at x= 0 x

Applying

W x

 

2

2 2 2 2

W

W=W and , =k

x

at x=h , where h is step length

W and

x

 

 

equations (1), (2) and (3) we get

in

1

W=W and x = 0

When

2 3

1 1 2 3 4

(1)WAA(0)A(0) A(0)

1 1 0 0 0

WA   

1 1 (4)

WA

1 W

and x = 0 x

When  

2

1 2 3 4

(2)  A 2A(0) 3 A (0)

1 A2+0+0

 

1 A2 (5)

 

2 1

2 at x=0

W

When k

x

1 3

(3) k 2A (6)

2

W=W and x = h

When

2 3

2 1 2 3 4

4 5

5 6

(1) ( )

+A h +A h (7)

W A A h A h A h

(3)

2 W

and x = h x

When  

2 3

2 2 3 4 5

4 6

(2) 2 3 +4A h

+5A h (8)

A A h A h

   

2 2

2 and x=h

W

When k

x

2 3

3 4 5 6

(3)2A 6A h12A h 20A h (9)

1 2 3 4 5 6

sin Mathematica 9 Software Solving (4),(5) ,(6),(7),(8) and (9) we get A , ,

, , ,

U g

A

A A A A

1 1 2 1

3 1 1 2

2 3 4 5

3 4 5 6

2 2 3 4

2 3 4

5 6 2

2

2 3 4 5

3

6 2 1 2 3 4

5 6

[ 0 & & 0

& & 2 * 0 & & *

* * * *

0 & & 2 * * 3*

* 4 * * 5* * 0

& & 2 * 6 * * 12 * *

20 * * 0,{ , , , ,

, }]

Input

Solve A W A

A k A A h

A h A h A h A h

W A A h A

h A h A h

A A A h A h

A h k A A A A

A A

   

  

   

   

   

  

  

1 1 2 1

{{ , ,

Output

A W A  

1

3 4

2 2

3 1 2 20 1 20 2 12 1 8 2 , 3

2 ,

2

h k h k W W h h

h k

A A

 

    

   

5

2 2

3 1 2 2 30 1 30 2 16 1 14 2 4

2

,

h k h k W W h h

h A

 

     

 

6

2 2

12 12 6 6

1 2 1 2 1 2

}} 5

2

h k h k W W h h

h

A         

1 2 3 4 5 6

A , , , ,A ,A in eq(1)

Substituting A A A

1 1 2 1

: :

A W

A

 

1 3

4

2 2

3 1 2 20 1 20 2 12 1 8 2 3

2 :

2

: h k h k W W h h

h k

A

A        

5

2 2

3 1 2 2 30 1 30 2 16 1 14 2 4

2

: h k h k W W h h

h

A        

6

2 2

12 12 6 6

1 2 1 2 1 2

5 2

: h k h k W W h h

h

A        

2 3

1 2 3 4

4 5

5 6

( ) : * * *

* *

W x A A x A x A x

A x A x

    

[ ( )]

Expand W x

Output

2 3 4 5 3

1 1 1 1 2

2 3

4 5 3 4 5

2 2 1 1 1

1

2 3 3 4 5

3 3

2 2 2 2 2

10 15 6

2

x k x k x k x k x k

h h h h

x k x k x w x W x W

W

h h h h h

   

     

3 4 5 3

2 2 2 1

1

3 4 5 2

4 5 3 4 5

1 1 2 2 2

3 4 2 3 4

10 15 6 6

8 3 4 7 3

x W x W x W x

x

h h h h

x x x x x

h h h h h

 

    

    

    

2 3 4 5

1 1 1 1

2 3

3 4 5 3

2 2 2 1

1

2 3 3

3 3

( )

2 2 2 2

10

2 2

x k x k x k x k

W x

h h h

x k x k x k x w

W

h h h h

   

    

4 5 3 4

1 1 2 2

4 5 3 4

5 3 4 5

2 1 1 1

1

5 2 3 4

3 4 5

2 2 2

2 3 4

15 6 10 15

6 6 8 3

4 7 3

x W x W x W x W

h h h h

x W x x x

x

h h h h

x x x

h h h

  

  

   

    

(4)

 

1 33 44 55

3 4 5

1 2 3 4

2 3 4 5

1 2 3

3 4 5

2 3 4 5

3 4 5

2

2 2 3 4

3 4 5

2 2 3

10 15 6

1

6 8 3

3 3

2 2 2 2

10 15 6

4 7 3

+

(10)

2 2

x x x

W x W

h h h

x x x

x

h h h

x x x x

k

h h h

x x x

W

h h h

x x x

h h h

x x x

k

h h h

 

 

  

 

 

  

 

 

  

 

 

 

 

 

  

 

 

 

 

 

6

. .,

W=N1 1 2 1 3 1 N4 2 5 2 2

(11)

=N1 1 2 2 3 3 N4 4 5 5 6 6

i e

W N N k W N N k

N N N N

 

     

    

    

  

1 2 3 4 5 6

1 2 3 4 5 6

N , , , ,N ,N are shape functions for the beam elements and , , , , , are the nodal displacements

Where N N N

     

1 1

2 1

3 1

4 2

5 2

2 6

. ., { }=

W

k i e

W

k

 

 

 

                                           

(10) and (11) we get

Comparing

3 4 5

2

1 01 3 4 5

10 15 6

( ) 1 x x x (12)

N H x

h h h

    

3 4 5

2

2 11 2 3 4

6 8 3

( ) x x x (13)

N H x x

h h h

    

2 3 4 5

2

3 21 2 3

3 3

( ) (14)

2 2 2 2

x x x x

N H x

h h h

    

3 4 5

2

4 02 3 4 5

10 15 6

( ) x x x (15)

N H x

h h h

   

3 4 5

2 2

5 12 2 3 4

4 7 3

( ) x x x (16)

N H x

h h h

    

3 4 5

2

6 22( ) 2 3 (17)

2 2

x x x

N H x

h h h

   

Here

2 th

01

H ( ), 0 represents Zero order

derivative, 1 represents node number

one and power 2 represents second order

Hermitian function.

In x

2 11

H ( ), 1 represents first order

derivative, 1 represents node number

one and power 2 represents second order

Hermitian function.

In x

2 21

H ( ), 2 represents second order

derivative, 1 represents node number

one and power 2 represents second order

Hermitian function.

In x

2 th

02

H ( ), 0 represents Zero order

derivative, 2 represents node number

two and power 2 represents second order

Hermitian function.

In x

2 12

H ( ), 1 represents first order

derivative, 2 represents node number

two and power 2 represents second order

Hermitian function.

(5)

2 22

H ( ), 2 represents second order

derivative, 2 represents node number

two and power 2 represents second order

Hermitian function.

In x

IV. VERIFICATION

(I). 1st VERIFICATION CONDITION First verification condition at node 1 is

1 2 3 4

5 6

( ) 1 and 0, 0, 0,

0, 0

i N N N N

N N

   

 

3

2 1

5 6

4

( ) 1 and 0, 0,

0, 0, 0

N

N N

ii

x x x

N N

N

x x x

 

  

  

 

  

2 2 2

3 1 2

2 2 2

2 2

2

5 6

4

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

iii

x x x

N N

N

x x x

  

  

  

 

  

Node 1, x = 0

At

Input

3 4 5

2

1 01 3 4 5

10 15 6

( ) : 1 x x x

N H x

h h h

    

3 4 5

2

2 11 2 3 4

6 8 3

( ) : x x x

N H x x

h h h

    

2 3 4 5

2

3 21 2 3

3 3

( ) :

2 2 2 2

x x x x

N H x

h h h

    

3 4 5

2

4 02 3 4 5

10 15 6

( ) : x x x

N H x

h h h

   

3 4 5

2 2

5 12 2 3 4

4 7 3

( ) : x x x

N H x

h h h

    

3 4 5

2

6 22( ) : 2 3

2 2

x x x

N H x

h h h

   

: 0

x

1

N

2

N

3

N

4

N

5

N

6

N

Output

1 0 0 0 0 0

first derivatives for (12),(13),(14) , (15),(16), and (17)

Finding

Input

3 4 5

2

1 01 3 4 5

10 15 6

( ) : 1 x x x

N H x

h h h

    

3 4 5

2

2 11 2 3 4

6 8 3

( ) : x x x

N H x x

h h h

    

2 3 4 5

2

3 21 2 3

3 3

( ) :

2 2 2 2

x x x x

N H x

h h h

    

3 4 5

2

4 02 3 4 5

10 15 6

( ) : x x x

N H x

h h h

(6)

3 4 5

2 2

5 12 2 3 4

4 7 3

( ) : x x x

N H x

h h h

    

3 4 5

2

6 22( ) : 2 3

2 2

x x x

N H x

h h h

   

1 ( )

x N

2 ( )

x N

3 ( )

x N

4 ( )

x N

5 ( )

x N

6 ( )

x N

Output

2 3 4

3 4 5

30x 60x 30x

h h h

  

2 3 4

2 3 4

18 32 15

1 x x x

h h h

  

2 3 4

2 3

9 6 5

2 2

x x x

x

h h h

  

2 3 4

3 4 5

30x 60x 30x

hhh

2 3 4

2 3 4

12x 28x 15x

h h h

  

2 3 4

2 3

3 4 5

2 2

x x x

hhh

2 3 4

1 3 4 5

30 60 30

( ) (18)

x

x x x

N

h h h

    

2 3 4

2 2 3 4

18 32 15

( ) 1 (19)

x

x x x

N

h h h

    

2 3 4

3 2 3

9 6 5

( ) (20)

2 2

x

x x x

N x

h h h

    

2 3 4

4 3 4 5

30 60 30

( ) (21)

x

x x x

N

h h h

   

2 3 4

5 2 3 4

12 28 15

( ) (22)

x

x x x

N

h h h

    

2 3 4

6 2 3

3 4 5

( ) (23)

2 2

x

x x x

N

h h h

   

first derivative condition

at node 1, x = 0

Partial

Input

2 3 4

1

3 4 5

30 60 30

:

N x x x

x h h h

 

2 3 4

2

2 3 4

18 32 15

: 1

N x x x

x h h h

 

2 3 4

3

2 3

9 6 5

:

2 2

N x x x

x

x h h h

 

2 3 4

4

3 4 5

30 60 30

:

N x x x

x h h h

2 3 4

5

2 3 4

12 28 15

:

N x x x

x h h h

    

2 3 4

6

2 3

3 4 5

:

2 2

N x x x

x h h h

   

x = 0

1

N x

 

2

N x

 

3

N x

(7)

4

N x

 

5

N x

 

6

N x

 

Output

0 1 0 0 0 0

second derivatives for (12),

(13),(14) , (15),(16), and (17)

Finding

3 4 5

2

1 01 3 4 5

10 15 6

( ) : 1 x x x

N H x

h h h

    

3 4 5

2

2 11 2 3 4

6 8 3

( ) : x x x

N H x x

h h h

    

2 3 4 5

2

3 21 2 3

3 3

( ) :

2 2 2 2

x x x x

N H x

h h h

    

3 4 5

2

4 02 3 4 5

10 15 6

( ) : x x x

N H x

h h h

   

3 4 5

2 2

5 12 2 3 4

4 7 3

( ) : x x x

N H x

h h h

    

3 4 5

2

6 22( ) : 2 3

2 2

x x x

N H x

h h h

   

 

, 1

x x N

 

, 2

x x N

 

, 3

x x N

 

, 4

x x N

 

, 5

x x N

 

, 6

x x N

Output

2 3

3 4 5

60x 180x 120x

h h h

  

2 3

2 3 4

36x 96x 60x

h h h

  

2 3

2 3

9 18 10

1 x x x

h h h

  

2 3

3 4 5

60x 180x 120x

hhh

2 3

2 3 4

24x 84x 60x

h h h

  

2 3

2 3

3x 12x 10x

hhh

 

2 3

, 1 3 4 5

60 180 120

x x

x x x

N

h h h

    

 

2 3

, 2 2 3 4

36 96 60

x x

x x x

N

h h h

    

 

2 3

, 3 2 3

9 18 10

1

x x

x x x

N

h h h

    

 

2 3

, 4 3 4 5

60 180 120

x x

x x x

N

h h h

   

 

2 3

, 5 2 3 4

24 84 60

x x

x x x

N

h h h

(8)

 

2 3

, 6 2 3

3 12 10

x x

x x x

N

h h h

   

second derivative condition

at node 1, x = 0

Partial

2 2 3

1

2 3 4 5

60 180 120

:

N x x x

x h h h

 

2 2 3

2

2 2 3 4

36 96 60

:

N x x x

x h h h

 

2 2 3

3

2 2 3

9 18 10

: 1

N x x x

x h h h

 

2 2 3

4

2 3 4 5

60 180 120

:

N x x x

x h h h

2 2 3

5

2 2 3 4

24 84 60

:

N x x x

x h h h

 

2 2 3

6

2 2 3

3 12 10

:

N x x x

x h h h

: 0

x

2 1 2

N x

 

2 2 2

N x

 

2 3 2

N x

 

2 4 2

N x

 

2 5 2

N x

 

2 6 2

N x

 

0

0

1

0

0

0

Output

(II) 2nd VERIFICATION CONDITION Second Verification condition at node 2 is

4 1 2 3

5 6

( ) 1 and 0, 0, 0,

0, 0

iv N N N N

N N

   

 

5 1 2

3 4 6

( ) 1 and 0, 0,

0, 0, 0

N N N

v

x x x

N N N

x x x

  

  

  

  

2 2 2

6 1 2

2 2 2

2 2 2

3 4 5

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

vi

x x x

N N N

x x x

  

  

  

  

Node 2, x = h

At

3 4 5

2

1 01 3 4 5

10 15 6

( ) : 1 x x x

N H x

h h h

    

3 4 5

2

2 11 2 3 4

6 8 3

( ) : x x x

N H x x

h h h

    

2 3 4 5

2

3 21 2 3

3 3

( ) :

2 2 2 2

x x x x

N H x

h h h

(9)

3 4 5 2

4 02 3 4 5

10 15 6

( ) : x x x

N H x

h h h

   

3 4 5

2 2

5 12 2 3 4

4 7 3

( ) : x x x

N H x

h h h

    

3 4 5

2

6 22( ) : 2 3

2 2

x x x

N H x

h h h

   

:

xh

1

N

2

N

3

N

4

N

5

N

6

N

Output

0 0 0 1 0 0

first derivative condition at node 2, x = h

Partial

2 3 4

1

3 4 5

30 60 30

:

N x x x

x h h h

    

2 3 4

2

2 3 4

18 32 15

: 1

N x x x

x h h h

 

2 3 4

3

2 3

9 6 5

:

2 2

N x x x

x

x h h h

 

2 3 4

4

3 4 5

30 60 30

:

N x x x

x h h h

2 3 4

5

2 3 4

12 28 15

:

N x x x

x h h h

    

2 3 4

6

2 3

3 4 5

:

2 2

N x x x

x h h h

x = h

1

N x

 

2

N x

 

3

N x

 

4

N x

 

5

N x

 

6

N x

 

Output

(10)

second derivative condition

at node 2, x = h

Partial

2 2 3

1

2 3 4 5

60 180 120

:

N x x x

x h h h

 

2 2 3

2

2 2 3 4

36 96 60

:

N x x x

x h h h

 

2 2 3

3

2 2 3

9 18 10

: 1

N x x x

x h h h

 

2 2 3

4

2 3 4 5

60 180 120

:

N x x x

x h h h

2 2 3

5

2 2 3 4

24 84 60

:

N x x x

x h h h

 

2 2 3

6

2 2 3

3 12 10

:

N x x x

x h h h

   

:

xh

2 1 2

N x

 

2 2 2

N x

 

2 3 2

N x

 

2 4 2

N x

 

2 5 2

N x

 

2 6 2

N x

 

0

0

0

0

0

1

Output

Verification Condition

Third

1 4 3 verification condition is NrdN 1

3 4 5

2

1 01 3 4 5

10 15 6

( ) : 1 x x x

N H x

h h h

    

3 4 5

2

4 02 3 4 5

10 15 6

( ) : x x x

N H x

h h h

   

1 4

[ ]

1

FullSimplify N N

Output

V. CONCLUSIONS 1. Derived Shape Functions for a

two node element with three

primary variables at each node.

2. Verified First verification condition at node 1

1 2 3 4

5 6

( ) 1 and 0, 0, 0,

0, 0

i N N N N

N N

   

 

3

2 1

5 6

4

( ) 1 and 0, 0,

0, 0, 0

N

N N

ii

x x x

N N

N

x x x

 

  

  

 

  

2 2 2

3 1 2

2 2 2

2 2

2

5 6

4

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

iii

x x x

N N

N

x x x

  

 

  

(11)

3. Verified Second Verification condition at node 2

4 1 2 3

5 6

( ) 1 and 0, 0, 0,

0, 0

iv N N N N

N N

   

 

5 1 2

3 4 6

( ) 1 and 0, 0,

0, 0, 0

N N N

v

x x x

N N N

x x x

  

  

  

  

2 2 2

6 1 2

2 2 2

2 2 2

3 4 5

2 2 2

( ) 1 and 0, 0,

0, 0, 0

N N N

vi

x x x

N N N

x x x

  

  

1 4

4. Verified Third verification condition N N 1.

REFERENCES

[1]. S.S. Bhavikatti, Finite Element Analysis, New Age

International (P) Limited, Publishers, 2

nd

Edition, 2010.

[2]. Mathematica 9 Software, Wolfram Research, Version number 9.0.0.0, 1988-2012.

[3]. J.N.Reddy, An introduction to Finite Element Method, 2nd Edition, McGraw Hill International Editions,1993. [4]. S.Md.Jalaludeen, Introduction of Finite Element Analysis,

Anuradha Publications, 2012.

[5].P. Reddaiah, Deriving shape functions for 8-noded rectangular serendipity element in horizontal channel geometry and verified, International Journal of Mathematics Trends and Technology (IJMTT), Volume 50, Number 2 , October 2017.

[6].P. Reddaiah, Deriving shape functions for 9-noded rectangular element by using lagrange functions in natural coordinate system and verified, International Journal of Mathematics Trends and Technology (IJMTT), Volume 51, Number 6, November 2017.

[7]. P. Reddaiah, Deriving shape functions forHexahedral element by natural coordinate system and Verified, International Journal of Mathematics Trends and Technology (IJMTT), Volume 51, Number 6, November 2017.

[8]. P. Reddaiah, Deriving shape functions for hexahedron element by lagrange functions and verified, International Journal of Mathematics Trends and Technology (IJMTT), Volume 51, Number 6, November 2017.

[9]. P. Reddaiah, Deriving shape functions for 2,3,4,5 noded line element by lagrange functions and verified, International Journal of Mathematics Trends and Technology (IJMTT), Volume 51, Number 6, November 2017.

[10]. P. Reddaiah and D.R.V. Prasada Rao, Deriving Vertices, Shape Functions for Elliptic Duct Geometry and Verified Two Verification Conditions, International Journal of Scientific & Engineering Research, Volume 8, Issue 5, May-2017.

References

Related documents

Commenting on the award, Ahmed Bin Sulayem, Executive Chairman and Chief Executive Officer, DMCC, said: “To be ranked the Global Free Zone of the Year for a record fourth time in

In the conducted research in the field of Macro-ergonomics , implementation of one Macro-ergonomics method in special types of industries and its effect on some

Our findings regarding the overall observations of the adaptation scenarios indicate that in general 5Mbps and 3Mbps encoded video are not perceived

For identification and mapping of QTLs, the reference desi genome- based high-quality GBS SNP genotyping data and genetic linkage map information of SNPs mapped on eight desi LGs

Among the methods for estimation of the complete model, both the sub- models are estimated simultaneously, either using covariance structure analysis, usually termed LISREL

The 100 or so delegates to the Children’s Services event held in September 2004 enabled a representative sample of the professional membership to discuss models of service delivery

This workbook is divided into four sections—Your Business Action Plan, True Health, True Wealth, and Personal Development1. In these sections, you’ll learn seven skills that

The TUC believes there are clear advantages for employers as well as employees where consultation on collective redundancies takes place with recognised trade union