Solving the Harmonic Oscillator Equation NCSU Department of Math - - PDF document

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Solving the Harmonic Oscillator Equation NCSU Department of Math - - PDF document

Solving the Harmonic Oscillator Equation NCSU Department of Math Morgan Root Spring-Mass System Consider a mass attached to a wall by means of a spring. Define y=0 to be the equilibrium position of the block. y(t) will be a measure of


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SLIDE 1

Solving the Harmonic Oscillator Equation

Morgan Root NCSU Department of Math

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SLIDE 2

Spring-Mass System

Consider a mass attached to a wall by means of a

  • spring. Define y=0 to be the equilibrium position of

the block. y(t) will be a measure of the displacement from this equilibrium at a given time. Take

. and ) (

) (

v y y

dt dy

= =

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SLIDE 3

Basic Physical Laws

  • Newton’s Second Law of motion states tells us that the

acceleration of an object due to an applied force is in the direction of the force and inversely proportional to the mass being moved.

  • This can be stated in the familiar form:

ma Fnet =

  • In the one dimensional case this can be written as:

y m F

net

& & =

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SLIDE 4

Relevant Forces

Hooke’s Law (k is

called Hooke’s constant)

Friction is a force that

  • pposes motion. We

assume a friction proportional to velocity.

ky FH − =

y c FF & − =

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SLIDE 5

Harmonic Oscillator

Assuming there are no other forces acting on the system we have what is known as a Harmonic Oscillator or also known as the Spring-Mass- Dashpot.

) ( ) ( ) (

  • r

t y c t ky t y m F F F

F H net

& & & − − = + =

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SLIDE 6

Solving the Simple Harmonic System ) ( ) ( ) ( = + + t ky t y c t y m & & &

If there is no friction, c=0, then we have an “Undamped System”, or a Simple Harmonic Oscillator. We will solve this first.

) ( ) ( = + t ky t y m & &

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SLIDE 7

Simple Harmonic Oscillator

t) K ( y(t) t) K ( y(t) t Ky t y K

m k

cos and sin equation. this solve that will functions least two at know We ) ( ) ( : system at the look and can take that we Notice = = − = = & &

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SLIDE 8

Simple Harmonic Oscillator

. Where ) sin( ) cos( ) ( cos. and sin

  • f

n combinatio linear a is solution general The

m k

t B t A t y = + = ω ω ω

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SLIDE 9

Simple Harmonic Oscillator

( )

1 2 2

tan and ) ( and where ) sin( ) ( as solution the rewrite can We

v y v m k

y t t y

ω ω

φ ω φ ω

= + = Α = + Α =

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SLIDE 10

Visualizing the System

2 4 6 8 10 12 14 16 18 20

  • 2
  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2 Undamped SHO Time Displacement m=2 c=0 k=3

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SLIDE 11

Alternate Method: The Characteristic Equation

: have e equation w the into this Subbing ) ( and ) ( . ) ( solution, l exponentia an Assume ) ( ) ( : system at the look and take Again we

2 2 2 2

= + = = ⇒ = = + =

rt rt rt rt rt m k

e e r e r t y re t y e t y t y t y ω ω ω & & & & &

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SLIDE 12

Alternate Method: The Characteristic Equation

) ( and ) ( solutions two have we Thus that require e solution w a have To

2 2 ω ω

ω ω

i i

e t y e t y i r r

= = ± = ⇒ − =

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SLIDE 13

Alternate Method: The Characteristic Equation

As before, any linear combination of solutions is a

solution, giving the general solution:

t i t i

e B e A t y

* *

) (

ω ω −

+ =

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SLIDE 14

Euler’s Identity

Recall that we have a

relationship between e and sine and cosine, known as the Euler identity.

Thus our two solutions

are equivalent

( ) ( ) ( ) ( )

t i t e t i t e

t i t i

sin cos and sin cos ω ω ω ω

ω ω

− = + =

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SLIDE 15

Rewrite the solution

) sin( ) ( sine with

  • ne

and ) ( ls exponentia complex with One : to solutions two have now We

* *

φ ω

ω ω

+ Α = + = = +

t t y e A e A t y ky(t) (t) y m

t i t i

& &

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SLIDE 16

Damped Systems

If friction is not zero then we cannot used the same

  • solution. Again, we find the characteristic equation.

rt rt rt

e r t y re t y e t y

2

) ( and ) ( then, ) ( Assume = = = & & &

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SLIDE 17

Damped Systems

if

  • nly work

can Which have, we and , in Subbing ) ( ) ( ) ( :

  • solution t

a for looking now are hat we Remember t

2 2

= + + = + + = + + K Cr r Ke Cre e r y y y t Ky t y C t y

rt rt rt

& & & & & &

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SLIDE 18

Damped Systems

d underdampe 3. damped critically 2.

  • verdamped

1.

  • ptions

three have We 4 Let where : that us gives This

2 2 2 4

2 2

< = > − = = =

− ± −

α α α ω α ω

ω

C r

m k C C

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SLIDE 19

Underdamped Systems

The case that we are

interested in is the underdamped system.

4

2 2

< − ω C

m c mk C

C K t B t A e t y Be Ae t y

i C i C

2 4 2 2 1 2 /

2 2 2

4 )), sin( ) cos( ( ) (

  • r

) ( is solution The

− −

= − = + = + =

− − + −

ω ω ω

α α

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SLIDE 20

Underdamped Systems

ω

φ ω φ ω

2 2

and ), ( tan , , 2 4 Where ) sin( ) ( form, intuitive more a in this rewrite can We

1 2 2 2 y v B A t

m c m c

B y A B A m c mk t e t y

+ −

= = = + = Α − = + Α =

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SLIDE 21

Visualizing Underdamped Systems

2 4 6 8 10 12 14 16 18 20

  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2 Underdamped System Time Displacement m=2 c=0.5 k=3

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SLIDE 22

Visualizing Underdamped Systems

2 4 6 8 10 12 14 16 18 20

  • 2
  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2 Time Displacement Underdamped Harmonic Oscillator y(t)=Ae-(c/2m)t y(t)=-Ae-(c/2m)t m=2 c=0.5 k=3

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SLIDE 23

Visualizing Underdamped Systems

2 4 6 8 10 12 14 16 18 20

  • 0.5

0.5 1 1.5 2 Another Underdamped System Time Displacement m=2 c=2 k=3

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SLIDE 24

Visualizing Underdamped Systems

2 4 6 8 10 12 14 16 18 20

  • 2.5
  • 2
  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2 2.5 Time Displacement y(t)=Ae-(c/2m)t y(t)=-Ae-(c/2m)t m=2 c=2 k=3 Underdamped Harmonic Oscillator

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SLIDE 25

Will this work for the beam?

The beam seems to fit the harmonic

conditions.

Force is zero when displacement is zero Restoring force increases with displacement Vibration appears periodic

The key assumptions are

Restoring force is linear in displacement Friction is linear in velocity

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SLIDE 26

Writing as a First Order System

  • Matlab does not work with second order equations
  • However, we can always rewrite a second order ODE as a

system of first order equations

  • We can then have Matlab find a numerical solution to this

system

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SLIDE 27

Writing as a First Order System

) ( ) ( ) ( and ) ( ) ( Clearly, ). ( ) ( and ) ( ) ( let can We ) ( and ) ( with , ) ( ) ( ) ( ODE

  • rder

second Given this

2 1 2 2 1 2 1

t Cz t Kz t z t z t z t y t z t y t z v y y y t Ky t y C t y − − = = = = = = = + + & & & & & & &

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SLIDE 28

Writing as a First Order System

Matlab. in work that will form a in now is This with 1 where

  • r

) ( 1 ) ( form vector

  • matrix

in equation the rewrite can we Now

2 1 2 1

⎥ ⎦ ⎤ ⎢ ⎣ ⎡ = ⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − − = ⎥ ⎦ ⎤ ⎢ ⎣ ⎡ ⎥ ⎦ ⎤ ⎢ ⎣ ⎡ − − = ⎥ ⎦ ⎤ ⎢ ⎣ ⎡

=

v y C K t z z C K t z z z(0) A

Az(t) z(t)

& &

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SLIDE 29

Constants Are Not Independent

Notice that in all our solutions we never have

c, m, or k alone. We always have c/m or k/m.

The solution for y(t) given (m,c,k) is the same

as y(t) given (αm, αc, αk).

Very important for the inverse problem

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SLIDE 30

Summary

We can used Matlab to generate solutions to

the harmonic oscillator

At first glance, it seems reasonable to model a

vibrating beam

We don’t know the values of m, c, or k Need the inverse problem