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CH.11. VARIATIONAL PRINCIPLES Continuum Mechanics Course (MMC) - - - PowerPoint PPT Presentation

CH.11. VARIATIONAL PRINCIPLES Continuum Mechanics Course (MMC) - ETSECCPB - UPC Overview Introduction Functionals Gteaux Derivative Extreme of a Functional Variational Principle Variational Form of a Continuum Mechanics


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SLIDE 1

CH.11. VARIATIONAL PRINCIPLES

Continuum Mechanics Course (MMC) - ETSECCPB - UPC

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SLIDE 2

Overview

 Introduction  Functionals

 Gâteaux Derivative  Extreme of a Functional

 Variational Principle

 Variational Form of a Continuum Mechanics Problem

 Virtual Work Principle

 Virtual Work Principle  Interpretation of the VWP  VWP in Engineering Notation

 Minimum Potential Energy Principle

 Hypothesis  Potential Energy Variational Principle

2

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SLIDE 3

3

Ch.11. Variational Principles

11.1. Introduction

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SLIDE 4

 For any physical system we want to describe, there will be a

quantity whose value has to be optimized.

 Electric currents prefer the way of least resistance.  A soap bubble minimizes surface area.  The shape of a rope suspended at both ends

(catenary) is that which minimizes the gravitational potential energy.

 To find the optimal configuration, small changes are made and

the configuration which would get less optimal under any change is taken.

The Variational Approach

4

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SLIDE 5

Variational Principle

 This is essentially the same procedure one does for finding the

extrema (minimum, maximum or saddle point) of a function by requiring the first derivative to vanish.

 A variational principle is a mathematical method for determining

the state or dynamics of a physical system, by identifying it as an extrema of a functional.

5

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SLIDE 6

Computational Mechanics

 In computational mechanics physical mechanics problems are

solved by cooperation of mechanics, computers and numerical methods.

 This provides an additional approach to problem-solving, besides the

theoretical and experimental sciences.

 Includes disciplines such as solid mechanics, fluid dynamics,

thermodynamics, electromagnetics, and solid mechanics.

6

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SLIDE 7

Variational Principles in Numerical Methods

 Numerical Methods use algorithms which solve problems through

numerical approximation by discretizing continuums.

 They are used to find the solution of a set of partial differential

equations governing a physical problem.

 They include:

 Finite Difference Method  Weighted Residual Method  Finite Element Method  Boundary Element Method  Mesh-free Methods

 The Variational Principles are the basis of these methods.

7

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SLIDE 8

8

Ch.11. Variational Principles

11.2. Functionals

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SLIDE 9

Definition of Functional

 Consider a function space :  The elements of are functions

  • f an arbitrary tensor order, defined in

a subset .

 A functional

is a mapping of the function space onto the set of the real numbers , : .

 It is a function that takes an element of the function space as

its input argument and returns a scalar.

X

 

 

3

: :

m

    u x X R R

X  

u x

3

  R

 :

 u F X R  

u F

R

X

 

u x

X X  

u x

R

( )

b a

u x dx

( )

b a

u x dx 

 

, ( ), ( )

b a

f x u x u x dx 

 

u F

   

: , u x a b  R

9

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SLIDE 10

Definition of Gâteaux Derivative

 Consider :  a function space  the functional  a perturbation parameter  a perturbation direction  The function is the perturbed function of in

the direction.

 

 

3

: :

m

    u x X R R

 :

 u F X R

R

 

x X 

   

  u x x X 

 

u x

 

x 

Ω0 Ω

t=0

P P’

t

 

u x

 

 x 

   

  u x x 

10

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SLIDE 11

Definition of Gâteaux Derivative

 The Gâteaux derivative of the functional in the direction is:

 

u F

   

 

; : d d



     u u F F 

Ω0 Ω

t=0

P P’

t

 

u x

 

 x 

   

  u x x 

P’

 

F u

REMARK The perturbation direction is often denoted as . Do not confuse with the differential . is not necessarily small !!!

not

 u 

( ) u x

( ) du x

( ) u x

11

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SLIDE 12

Example

Find the Gâteaux derivative of the functional

     

: d d

 

    

 

u u u F

12

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SLIDE 13

Example - Solution

Find the Gâteaux derivative of the functional Solution :

     

: d d

 

    

 

u u u F                

; d d d d d d d d d d d d d d

        

                                                  

   

u u u u u u u u u u u u u u u u u u F F

 

( ) ( ) d d

 

          

 

u u u u u u u F

 u  u

13

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Gâteaux Derivative with boundary conditions

 Consider a function space :  By definition, when performing the Gâteaux derivative on ,

.

 Then,  The direction perturbation must satisfy:

V

       

 

m *

: : ;

u



   

x

u x u x u x u x V R

V

 

  u u V

   

*

u



 

x

u u u x

*

u u

 

   

x x

u u u

u



  

x

u

u



 

x

u

*

 u

u 

    

14

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SLIDE 15

 Consider the family of functionals  The Gâteaux derivative of this family

  • f functionals can be written as,

Gâteaux Derivative in terms of Functionals

 

( , ( ), ( )) ( , ( ), ( )) d d

 

 

   

 

u x u x u x x u x u x   F

 

; ( , ( ), ( )) ( , ( ), ( )) d d

   

 

    

 

u u x u x u x u x u x u x u   F E T

REMARK The example showed that for , the Gâteaux derivative is .  

( ) ( ) d d

 

          

 

u u u u u u u F

     

: d d

 

    

 

u u u F

u 

    

u

 



 

x

u u

15

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SLIDE 16

 A function

has a local minimum (maximum) at

 Necessary condition:  The same condition is necessary for the function to have extrema

(maximum, minimum or saddle point) at .

 This concept can be can be extended to functionals.

Extrema of a Function

x

Local minimum

 

( )

not x x

df x f x dx

  

x

16

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SLIDE 17

 A functional

has a minimum at

 Necessary condition for the functional to have extrema at :  This can be re-written in integral form:

Extreme of a Functional. Variational principle

 :

 u F V R

 

u x V

 

u x

 

; |

u



    

x

u u u u F  

 

; ( ) ( ) d d

   

 

     

 

u u u u u u F E T

Variational Principle

u

 



 

x

u u

17

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SLIDE 18

18

Ch.11. Variational Principles

11.3.Variational Principle

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 Variational Principle:  Fundamental Theorem of Variational Calculus:

The expression is satisfied if and only if

Variational Principle

 

; d d

 

     

 

u u u u F E T

   

REMARK Note that is arbitrary. u 

( , ( ), ( ))

   x u x u x x  T ( , ( ), ( ))    x u x u x x  E

Euler-Lagrange equations Natural boundary conditions

( , ( ), ( )) ( , ( ), ( )) d d

 

 

    

 

x u x u x u x u x u x u   E T

u

 



 

x

u u

u

 



 

x

u u

19

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SLIDE 20

Example

Find the Euler-Lagrange equations and the natural and forced boundary conditions of the functional

             

, , : , ;

b x a a

u x u x u x dx u x a b u x u a p 

        

F R with

20

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Example - Solution

Find the Euler-Lagrange equations and the natural and forced boundary conditions of the functional Solution : First, the Gâteaux derivative must be obtained.

 The function is perturbed:

 This is replaced in the functional:

         

, ,

b x a a

u x u x u x dx u x u a p 

       

F with

 

u x

                 

|

not a

u x u x x x u x a u x u x x                        

     

, ,

b a

u x u x u x dx              

F

21

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SLIDE 22

Example - Solution

 The Gâteaux derivative will be

Then, the expression obtained must be manipulated so that it resembles the Variational Principle :

 Integrating by parts the second term in the expression obtained: The Gâteaux derivative is re-written as:

   

;

b a

d d

u u dx u u

       

               

F F

 

; d d

   

 

     

 

u u u u F E T ( ) ( )

b b b b b a a a a a b a

d d dx dx dx u u dx u u u dx u                                    

  

       

( (

, , ; ; ) ; ) [ ( )]

b a b b a b

u

u x u x u x dx u a p d u u u udx u u dx u u

  

       

 

                 

 

  

a

 

         

, ,

b a x a

u x u x u x dx u x u a p 

       

F

MMC - ETSECCPB - UPC 22

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SLIDE 23

Example - Solution

Therefore, the Variational Principle takes the form If this is compared to , one obtains:

( ;

) [ ( )]

b b a b

d u u udx u u dx u u

     



         

 

; d d

   

 

     

 

u u u u F E T

a

u u    

   

, , , d x u u x a b u dx u                    E Euler-Lagrange Equations Natural (Newmann) boundary conditions Essential (Dirichlet) boundary conditions ( ) ( )

x a

u x u a p

 

 

, ,

x b

x u u u 

      T

23

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SLIDE 24

 Consider a continuum mechanics problem with local or strong

governing equations given by,

 Euler-Lagrange equations  with boundary conditions:

 Natural or Newmann  Forced (essential) or Dirichlet

Variational Form of a Continuum Mechanics Problem

( , ( ), ( )) V    x u x u x x E 

*

( , ( ), ( )) ( ) ( )

      x u x u x u n t x x   T

   

u 

   u x u x x REMARK The Euler-Lagrange equations are generally a set of PDEs.

24

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SLIDE 25

 The variational form of the continuum mechanics problem consists

in finding a field where fulfilling:

Variational Form of a Continuum Mechanics Problem

 

u x X

     

   

3 3

: :

  • n

( ): ( )

  • n

m u m u

V V  

          u x u x u x u x u x V R R V R R ( , ( ), ( )) ( ) ( , ( ), ( )) ( )

( )

V

dV d

 

    

 

 

x u x u x u x x u x u x u x

u x

  E T

V

25

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SLIDE 26

Variational Form of a Continuum Mechanics Problem

REMARK 1 The local or strong governing equations of the continuum mechanics are the Euler-Lagrange equation and natural boundary conditions. REMARK 2 The fundamental theorem of variational calculus guarantees that the solution given by the variational principle and the one given by the local governing equations is the same solution.

26

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SLIDE 27

27

Ch.11. Variational Principles

11.4. Virtual Work Principle

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SLIDE 28

 Continuum mechanics problem for a body:  Cauchy equation  Boundary conditions

Governing Equations

     

2 2

( ( ( , )))

, , ,

t

t t t V t      

u x

u x x b x    in

 

 

     

( ( ),t)

,t ,t ,t

 

  

u

x n x t x   

s 

  • n

   

, ,

u

t t

  u x u x

  • n

28

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SLIDE 29

 The variational principle consists in finding a displacement field

, where such that the variational principle holds, where

 Note:

is the space of admissible displacements.

is the space of admissible virtual displacements (test functions).

 The (perturbations of the displacements ) are termed virtual

displacements.  

2 2

; [ ( )] ( )

V

dV d t      

 

             

 

u u u b u t n u u W V  

 T

Variational Principle

     

 

3

: , : , ,

  • n

m u

t V t t

     u x u x u x V R R    

 

3 0 :

:

  • n

m u

V        u x u x V R R u

 E

29

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SLIDE 30

 The first term in the variational principle

Considering that and (applying the divergence theorem):

 Then, the Virtual Work Principle reads:

Virtual Work Principle (VWP)

   

s

       u u u        

 

s

( d

V V

dV dV   

         

  

u n u u        

   

* s

;

V V

dV d dV       

         

  

u u b a u t u u u   

W V

 

 

2 2

; [ ( )]

V

dV d t      

 

             

 

u u u b u t n u u   W V

 E  T  a

30

slide-31
SLIDE 31

Virtual Work Principle (VWP)

REMARK 1 The Cauchy equation and the equilibrium of tractions at the boundary are, respectively, the Euler-Lagrange equations and natural boundary conditions associated to the Virtual Work Principle. REMARK 2 The Virtual Work Principle can be viewed as the variational principle associated to a functional , being the necessary condition to find a minimum of this functional.

 

u W

31

slide-32
SLIDE 32

 The VWP can be interpreted as:

Interpretation of the VWP

   

 

* s V V

; * dV d dV       

       

  

u u b a u t u u b    

pseudo - virtual body forces strains

   

W

Work by the pseudo-body forces and the contact forces. External virtual work Work by the virtual strain. Internal virtual work

int

 W

ext

 W

 

ext int

;           u u u W W W V

32

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SLIDE 33

 Engineering notation uses vectors instead of tensors:  The Virtual Work Principle becomes

VWP in Voigt’s Notation

       

x x x y y y not z z z 6 6 xy xy xy xz xz xz yz yz yz

; ; 2 2 2                                                                                               R R 

       

:            

     

* V V

dV dV d

     

          

  

b a u t u u   W V

Total virtual work. Internal virtual work, .

int

 W

External virtual work, .

ex t

 W

33

slide-34
SLIDE 34

34

Ch.11. Variational Principles

11.5. Minimum Potential Energy Principle

slide-35
SLIDE 35

 An explicit expression of the functional in the VWP can only be

  • btained under the following hypothesis:

1. Linear elastic material. The elastic potential is:

2. Conservative volume forces. The potential is: (quasi-static problem, ) 3. Conservative surface forces. The potential is:

Then a functional, total potential energy, can be defined as

Hypothesis

W

 a

 

) G G

 

        u u t u t u

 

)           u u b u b u ˆ 1 ( ˆ( : : : 2 u u          

     

ˆ(

V V

u dV dV G dS 

   

  

u u u  U

Elastic energy Potential energy of the body forces Potential energy of the surface forces

( ))

s u

 

08/01/2016 MMC - ETSECCPB - UPC 35

slide-36
SLIDE 36

 The variational form consists in finding a displacement field

, such that for any the following condition holds,

 This is equivalent to the VWP previously defined.

Potential Energy Variational Principle

( , ) t  u x V

 

 u

u u in

 

 

*

;

d

V V

dV dV

 

    

        

  

u u

: b a u t u u   U V

 

;     u u W U

 

     

;

ˆ

S V V

G u dV dV d

 

  

            

  

u u

u u : u u u u u  U

 

  

b    *  t

36

slide-37
SLIDE 37

 The VWP is obtained as the variational principle associated with

this functional , the potential energy.

 The potential energy is

 This function has an extremum (which can be proven to be a minimum) for

the solution of the linear elastic problem.

 The solution provided by the VWP can be viewed in this case as

the solution which minimizes the total potential energy functional.

Minimization of the Potential Energy

U

( ; )       u u u U V

 

*

1 ( ) ( ) ( ) ( ) 2 u u u b a u u t u

V V

dV dV d

      

  

U C   

deriving from a potential

37

slide-38
SLIDE 38

38

Ch.11. Variational Principles

Summary

slide-39
SLIDE 39

 Function space  Functional  Gâteaux derivative

 In terms of functionals:

 Necessary condition for the functional to have an extremum at :

Summary

 :

 u F X R

X  

u x

R

( )

b a

u x dx

( )

b a

u x dx 

 

, ( ), ( )

b a

f x u x u x dx 

 

u F

   

: , u x a b  R

   

 

; : d d



     u u F F       

 

   

 

; , , , , d d

 

      

 

u u x u x u x u x u x u x u F E T

   

u

 



 

x

u u

Variational Principle

 

; d d

 

     

 

u u u u F E T

   

 

u x

 

; |

u



    

x

u u u u F  

 

 

3

: :

m

    u x X R R

39

slide-40
SLIDE 40

 Fundamental Theorem of Variational Calculus

is satisfied if and only if:

 Virtual Work Principle

Summary (cont’d)

   

 

   

 

, , , , d d

 

 

      

 

x u x u x u x u x u x u E T

u

 



 

x

u u    

 

, ,     x u x u x x T

   

 

, ,     x u x u x x E

Euler-Lagrange equations Natural boundary conditions

   

* s

; d d d

     

   

         

  

u u b a u t u u    W

     

 

3

: , : , ,

  • n

m u

t t t

     u x u x u x V R R

40

slide-41
SLIDE 41

 Interpretation of the Virtual Work Principle  Total potential energy:

Summary (cont’d)

   

 

* s

; *

V V

dV d dV

      

       

  

u u b a u t u u b    

pseudo - virtual body forces strains

    W

External virtual work Internal virtual work

int

 W

ext

 W

       

ˆ

V V

u dV dV G d

   

  

u u u  U

Elastic energy Potential energy of the body forces Potential energy of the contact forces Total virtual work.

41