Unit 1 | unit 1 calculus of variation 2

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Finite Element Method

Unit - 1

Calculus of variation

Q1) Explain Introduction to calculus of variations in detail.

A1)

Introduction to calculus of variations

The definite integral

I(y)= …………………………….(1)

Is a well-defined quantity.

a) When the integrated f is given as a function of X,Y,.

b) When y is a given function of x

c) And is a number, when x1 and x2 have definite numerical values.

The first problem of calculus of variation involves comparison of the various values assumed by (1) when different choices of y as a function of x are substituted into the integrand of (1).
What we want is to find the particular function y=y(x) that gives to (1) its minimum or maximum value.
In calculus of variations, we will discuss these kind of problems in details. These includes the problems of

a) The shortest distance between two points on a given surface.

b) The quickest distance between two points.

c) The surface of revolution of minimum area,etc.

The techniques of solving the problems of minimizing (or maximizing)of (1) and related definite integrals are closely connected with the problems of maxima and minima in the elementary differential calculus.
A mapping which assigns a definite (real) numbers to each function belonging to the same class is called functional. Thus, we can say that a functional is a kind of function, where the independent variable is itself a function or a curve.
Functionals are often expressed as definite integrals involving functions and their derivatives.Functionals play an important role in many problems in analysis , mechanics, geometry ,etc.
For example, the arc length L of a plane curve y(x) connecting two given points (x1,y1) and (x2,y2) is a functional.

The quantity L may be computed as

L[y(x)]=

The area S of a surface bounded by a given curve C is also a functional and since this area is determined by the choice of surface z=z(x,y) so area S is given by

S[z(x,y)] = dxdy

Here, D is the projection of the area bounded by the curve C on the xy- plane

The branch of calculus of functionals in which we find the maxima and minima of the functionals is called the “calculus of variations”.Thus the calculus of variations investigates method that permit finding maximal and minimal values of functionals
And the problems in which we investigate a functional for a maximum or a minimum are called variational problems.

Q2) Explain in detail Introduction to equilibrium equations in elasticity.

A2)

Introduction to equilibrium equations in elasticity

Equilibrium equations are Newton’s second law which states that the rate of change of linear momentum would be equal in magnitude and direction to the net applied force.
Deformable bodies are subjected to two kinds of forces, namely, contact force and body force. As the name suggest the contact force arises by virtue of the body being in contact with its surroundings.
Traction arises only due to these contact force and hence so does the stress tensor. The magnitude of the contact force depends on the contact area between the body and its surroundings.
On the other hand, the body forces are action at a distance forces. Examples of body force are gravitational force, electromagnetic force. The magnitude of these body forces depend on the mass of the body and hence are generally expressed as per unit mass of the body and denoted by b.
On further assuming that the Newton’s second law holds for any subpart of the body and that the stress field is continuously differentiable within the body the equilibrium equations can be written as:

Where, ρ is the density, a is the acceleration and the mass is assumed to be conserved.

Also, the rate of change of angular momentum must be equal to the net applied moment on the body.
Assuming that the moment is generated only by the contact forces and body forces, this condition requires that the Cauchy stress tensor to be symmetric. That is in the absence of body couples, σ = σt, where the superscript (⋅)t denotes the transpose.

Q3) Explain in detail Euler's Lagrange’s equations.

A3)

Euler's Lagrange’s equations

In the calculus of variations, the Euler equation is a second-order partial differential equation whose solutions are the functions for which a given functional is stationary. It was developed by Swiss mathematician Leonhard Euler and Italian mathematician Joseph-Louis Lagrange in the 1750s.
Because a differentiable functional is stationary at its local extrema, the Euler–Lagrange equation is useful for solving optimization problems in which, given some functional, one seeks the function minimizing or maximizing it.
This is analogous to Fermat's theorem in calculus, stating that at any point where a differentiable function attains a local extremum its derivative is zero.
In Lagrangian mechanics, according to Hamilton's principle of stationary action, the evolution of a physical system is described by the solutions to the Euler equation for the action of the system. In this context Euler equations are usually called Lagrange equations.
In classical mechanics, it is equivalent to Newton's laws of motion, but it has the advantage that it takes the same form in any system of generalized coordinates, and it is better suited to generalizations. In classical field theory there is an analogous equation to calculate the dynamics of a field.
The Euler–Lagrange equation is an equation satisfied by a function q of a real argument t, which is a stationary point of the functional
{\displaystyle {\boldsymbol {q}}(b)={\boldsymbol {x}}_{b}}S(q) =

Where,

q is the function to be found:

q:[a,b] R

t = q(t)

Such that {\displaystyle {\boldsymbol {q}}}q is differentiable, {\displaystyle {\boldsymbol {q}}(a)={\boldsymbol {x}}_{a}}q(a)=

The Euler–Lagrange equation, then, is given by

Here {\displaystyle L_{x}} and {\displaystyle L_{v}} denote the partial derivatives of {\displaystyle L}L with respect to the second and third arguments, respectively.

If the dimension of the space {\displaystyle X}X is greater than 1, this is a system of differential equations, one for each component

Derivation of the one-dimensional Euler – lagrange equation-

The derivation of the one – dimensional fuler-lagrange eq. Is one of the classics proof in mathematics. We wish to find a function f which satisfies the boundary cond.

& which extremixes the functional.

We assume that F is twice continuously differentiable A weaker assumption can be used but the proof becomes more difficult.

Let i.e the result of such pertulation of f, where is small & n(x) is a differentiable function satisfying

Then define,

We now wish to calculate the total derivative of with respect to

It follows from the total derivation that.

So,

Where we have

& has an extremum value so that

Using the boundary conditions

Applying the fundamental lemma of calculus of variations now yields the Euler- Lagrange eq.

Q4) Explain in detail Principal of virtual work.

A4)

Principal of virtual work

When the force and displacement are unrelated to the cause and effect relation, the work is called as virtual work.
Therefore, the virtual work may be caused by true force moving through imaginary displacements or vice – versa.
Principle of virtual work stated that “A body is in equilibrium if the internal virtual work is equal to the external virtual work for every kinematical admissible displacements field. For the linear elasticity following equation is the principle of virtual work .

δWi= δWe

Internal virtual work

External virtual work

Q5) Explain in detail Virtual displacements.

A5)

Virtual displacements

In order to develop a number of powerful techniques based on a concept known as virtual work, imagine that the mass is not in fact at its equilibrium position but at an (incorrect) non-equilibrium position . The imaginary displacement is called a virtual displacement.
The virtual work done by a force to be the equilibrium force times this small imaginary displacement. It should be emphasized that virtual work is not real work – no work has been performed since x is not a real displacement which has taken place; this is more like a “thought experiment”.

The virtual work of the spring force is then

The virtual work of the applied force is

The total virtual work is

There are two ways of viewing this expression. First, if the system is in equilibrium then the virtual work is zero,  0.
Alternatively, if the virtual work is zero then, since is arbitrary, the system must be in equilibrium. Thus the virtual work idea gives one an alternative means of determining whether a system is in equilibrium.
The symbol is called a variation so that, for example, is a variation in the displacement (from equilibrium).

Q6) Explain in detail Principles of minimum potential energy.

A6)

Principles of minimum potential energy

The Principal of minimum potential energy stated that “for a conservative system for all kinematically admissible displacement fields those corresponding to equilibrium, extremes the total potential energy, if extreme condition is minimum, the equilibrium state is stable.

Π = U +V

Where,

Π=Total potential energy

U = strain energy (due to internal forces)

V= work potential (due to external forces)

U = ½ (σ) (ε) and V = -q w

Q7) Example

Solve the initial value problem.