On Free Mechanical Vibrations

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1 On Free Mechanical Vibrations • As derived in section 4.1( following Newton’s 2nd law of motion and the Hooke’s law), the D.E. for the mass-spring oscillator is given by: m. equilibriu from nt displaceme the is system the to forces external other all : (fricti t coefficien damping the is the : ) (stiffness constant s Hooke' the is : spring the to attached mass the is : where , ) ( ' " y : F b k m t F ky by my e e

description

On Free Mechanical Vibrations. As derived in section 4.1( following Newton’s 2nd law of motion and the Hooke’s law), the D.E. for the mass-spring oscillator is given by:. In the simplest case, when b = 0, and F e = 0, i.e. Undamped, free vibration, we can rewrite the D.E:. As . - PowerPoint PPT Presentation

Transcript of On Free Mechanical Vibrations

Page 1: On Free Mechanical Vibrations

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On Free Mechanical Vibrations• As derived in section 4.1( following Newton’s 2nd

law of motion and the Hooke’s law), the D.E. for the mass-spring oscillator is given by:

m.equilibriu fromnt displaceme theis system. the toforces externalother all :

(friction)t coefficien damping theis the: )(stiffnessconstant sHooke' theis :

spring the toattached mass theis : where,)('"

y :Fbkm

tFkybymy

e

e

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In the simplest case, when b = 0, and Fe = 0, i.e. Undamped, free

vibration, we can rewrite the D.E:• As

frequency.angular theasknown is

. 2

frequency and , 2 period

hmotion wit harmonic Simple called is This

. tan and

with .), sin()( :as written be alsocan Which . sin cos)( :clearly is

solution general a , where,0 "

2

122

21

21

2

ccccA

tAtytctcty

mkyy

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When b 0, but Fe = 0, we have damping on free vibrations.

• The D. E. in this case is:

:cases possible threehave We. 4nt discrimina on the depends

clearlysolution The . 421

2

asseen easily are roots the, 0

is eq.auxiliary theand , 0'"

2

2

2

mkb

mkbmm

bkbrmr

kybymy

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Case I: Underdamped Motion (b2 < 4mk)

.factor damping a with wavesinusoidal a is This

). sin()(or ) sin cos()(

issolution generalA . i are roots the

hence ,421 and

2 :let We

21

2

t

tt

Ae

tAetytctcety

bmkmm

b

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Case II: Overdamped Motion (b2 > 4mk)

• In this case, we have two distinct real roots, r1 & r2. Clearly both are negative, hence a general solution:

oscillate.not doessolution the thatfollowsit zero, onemost at has 0)(' Since . as 0)( 21

21

tytececty trtr

No local max or min

One local maxOne local min

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Case III: Critically Damped Motion (b2 = 4mk)

• We have repeated root -b/2m. Thus the a general solution is:

motions.Overdamped of that similar to behave solutionsits solution, onemost at has 0)('

and , tas 0)(limthat see Again we . )( 2/

22/

1

tyty

tececty mbtmbt

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Example• The motion of a mass-spring system with damping

is governed by

• This is exercise problem 4, p239.• Find the equation of motion and sketch its graph

for b = 10, 16, and 20.

. 0)0(' and , 1)0(; 0)(64)(')("

yytytbyty

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• 1. b = 10: we have m = 1, k = 64, and • b2 - 4mk = 100 - 4(64) = - 156, implies = (39)1/2 .

Thus the solution to the I.V.P. is

Solution.

. 539 tan

where, ) 39sin(398

) 39sin395 39(cos)(

2

1

5

5

cc

te

ttety

t

t

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When b = 16, b2 - 4mk = 0, we have repeated root -8,

• thus the solution to the I.V.P is

tetty 8)81()(

1

t

y

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• r1 = - 4 and r2 = -16, the solution to the I.V.P. is:

When b = 20, b2 - 4mk = 64, thus two distinct real roots are

:like looksgraph The .31

34)( 164 tt eety

1

1t

y

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• with the following D. E.

Next we consider forced vibrations

(*). ofequation ushomogeneno associated theofsolution genernal a is

& (*), osolution t particular afor stands

where, form in the written becan (*) oSolution t

d).underdampe (i.e. 4 0

and 0 , 0 that assume We. cos'" (*)

2

0

0

h

p

ph

y

y

yyy

mkb

FtFkybymy

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We know a solution to the above equation has the form

• where:

• In fact, we have

ph yyy

, sin cos)( thatknow we

ts,coefficien edundetermin of method by the and

, 2

4sin)(

21

2)2/(

tBtBty

tm

bmkAety

p

tmbh

. ) (

, ) (

) (2222

022222

20

1

bmkbFB

bmkmkFB

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Thus in the case 0 < b 2 < 4mk (underdamped), a general

solution has the form:

). sin( ) (

)(

and , 2

4sin)(

where, )()()(

22220

2)2/(

tbmk

Fty

tm

bmkAety

tytyty

p

tmbh

ph

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Remark on Transient and Steady-State solutions.

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• Consider the following interconnected fluid tanksIntroduction

A B8 L/min

X(t) Y(t)

24 L 24 L

X(0)= a Y(0)= b6 L/min

2 L/min

6 L/min

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Suppose both tanks, each holding 24 liters of a brine solution, are interconnected by pipes as shown . Fresh water flows into tank A at a rate of 6 L/min, and fluid is drained out of tank B at the same rate; also 8 L/min of fluid are pumped from tank A to tank B, and 2 L/min from tank B to tank A. The liquids inside each tank are kept well stirred, so that each mixture is homogeneous. If initially tank A contains a kg of salt and tank B contains b kg of salt, determine the mass of salt in each tanks at any time t > 0.

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Set up the differential equations• For tank A, we have:

• and for tank B, we have

)(248)(

242 txty

dtdx

).(246)(

242)(

248 tytytx

dtdy

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This gives us a system of First Order Equations

.041'2"3

get weequation,first into put them ,'"3'implies '3 since :equationorder 2nd

a toequivalent is This . 31

31'

and , 121

31'

yyy

yyxyyx

yxy

yxx

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• We have the following 2nd order Initial Value Problem:

• Let us make substitutions:

• Then the equation becomes:

On the other hand, suppose

3)0(' ,1)0( ;0)(2)('3)("

yytytyty

x t y t x t y t1 2( ) ( ) ( ) ' ( ), and

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• Thus a 2nd order equation is equivalent to a system of 1st order equations in two unknowns.

A system of first order equations

x t x tx t x t x t

x x

1 2

2 2 1

1 2

3 2

0 1 0 3

'( ) ( )' ( ) ( ) ( ),

( ) , ( )

with the initial conditions become:

and

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• Let us consider an example: solve the system

General Method of Solving System of equations: is the Elimination Method.

.10)(7)(4)(',1)(4)(3)('

ttytxtytytxtx

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• We want to solve these two equations simultaneously, i.e.

• find two functions x(t) and y(t) which will satisfy the given equations simultaneously

• There are many ways to solve such a system.• One method is the following: let D = d/dt,• then the system can be rewritten as:

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(D - 3)[x] + 4y = 1, …..(*)-4x + (D + 7)[y]= 10t .…(**)

• The expression 4(*) + (D - 3)(**) yields:• {16 + (D - 3)(D + 7)}[y] = 4+(D - 3)(10t), or

(D2 + 4D - 5)[y] =14 - 30t. This is just a 2nd order nonhomogeneous equation.

• The corresponding auxiliary equation is • r2 + 4r - 5 = 0, which has two solution r = -5, and

r = 1, thus yh = c1e -5t + c2 e t. And the

• general solution is y = c1e -5t + c2 e t + 6t + 2.• To find x(t), we can use (**).

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To find x(t), we solve the 2nd eq.Y(t) = 4x(t) - 7y(t)+ 10t for x(t),

• We obtain:

, 58221

}10]26[7]6)5{[(41

}10)(7)('{41)(

25

1

25

125

1

tecec

ttecececec

ttytytx

tt

tttt

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Generalization• Let L1, L2, L3, and L4 denote linear differential

operators with constant coefficients, they are polynomials in D. We consider the 2x2 general system of equations:

L x L y fL x L y f

L L L Li j j i

1 2 1

3 4 2

[ ] [ ][ ] [ ]

, .........(1) .........(2)

Since , we can solve the

above equations by first eliminating the varible y. And solve it for x. Finallysolve for y.

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• Rewrite the system in operator form:• (D2 - 1)[x] + (D + 1)[y] = -1, .……..(3)• (D - 1)[x] + D[y] = t2 ……………...(4)

• To eliminate y, we use D(3) - (D + 1)(4) ;• which yields:• {D(D2 - 1) - (D + 1)(D - 1)}[x] = -2t - t2. Or • {(D(D2 - 1) - (D2 - 1)}[x] = -2t - t2. Or• {(D - 1)(D2 - 1)}[x] = -2t - t2.

Example:x t y t x t y t

x t y t x t t

"( ) ' ( ) ( ) ( ) ,

' ( ) ' ( ) ( ) .

12

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• Which implies r = 1, 1, -1. Hence the general solution to the homogeneous equation is

• xh = c1e t + c2te t + c3e -t.• Since g(t) = -2t - t2, we shall try a particular

solution of the form : • xp = At2 + Bt + C, we find A = -1, B = -4, C = -6,

• The general solution is x = xh + xp.

The auxiliary equation for the corresponding homogeneous eq. is

(r - 1)(r2 - 1) = 0

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• Which implies y = (D - D2)[x] -1 - t2.

To find y, note that (3) - (4) yields : (D2 - D)[x] + y = -1 - t2.

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• This is simply a mapping of functions to functions

• This is an integral operator.

Chapter 7: Laplace Transforms

f FLLf F

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• Definition: Let f(t) be a function on [0, ). The Laplace transform of f is the function F defined by the integral

• The domain of F(s) is all values of s for which the integral (*) exists. F is also denoted by L{f}.

More precisely

.)(:)( (*)0

dttfesF st

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Example• 1. Consider f(t) = 1, for all t > 0. We have

integral.improperan is Transform Laplace The F(s).) of

domain on the (Note .0 allfor holds

11limlim

lim)1()(

0

00

sthis

sse

sse

dtedtesF

tN

N

Nst

N

N st

N

st

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Other examples,• 2. Exponential function f(t) = e t .• 3. Sine and Cosine functions say: f(t) = sin ßt,• 4. Piecewise continuous (these are functions

with finite number of jump discontinuities).

. 3t2 , 2)-(t

2,t1 ,2 )(,10 ,

2

tftt

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Example 4, P.375

• A function is piecewise continuous on [0, ), if it is piecewise continuous on [0,N] for any N > 0.

.10 ,

,105 ,0,50 ,2

)(

of tranformLaplace theDetermine

4 te

tt

tft

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Function of Exponential Order • Definition. A function f(t) is said to be of

exponential order if there exist positive constants M and T such that

• That is the function f(t) grows no faster than a function of the form

• For example: f(t) = e 3t cos 2t, is of order = 3.

. allfor , )( (*) TtMetf t

. tMe

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Existence Theorem of Laplace Transform.

• Theorem: If f(t) is piecewise continuous on [0, ) and of exponential order , then L{f}(s) exists for all s > .

• Proof. We shall show that the improper integral converges for s > . This can be seen easily, because [0, ) = [0, T] [ T, ). We only need to show that integral exists on [ T, ).

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A table of Laplace Transforms can be found on P. 380

• Remarks: • 1. Laplace Transform is a linear operator. i.e.

If the Laplace transforms of f1 and f2 both exist for s > , then we have L{c1 f1 + c2 f2} = c1 L{f1 } + c2 L{f2 } for any constants c1 and c2 .

• 2. Laplace Transform converts differentiation into multiplication by “s”.

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Properties of Laplace Transform

• Recall :

• Proof.

. by shift) (aion translat toby

tionmultiplica transform that means This. )())}(({ (1)

have we, allfor then , for exists )()}({ If :Theorem

. )()}({ 0

ae

LasFstfeL

asssFsfL

dttfesfL

at

at

st

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How about the derivative of f(t)?

Proof. . )0()}({)}('{ (2)

have we, sfor Then . order lexponentiaof ' and both with , )[0,on continuous piecewise be ' and )[0,on continuous be )(Let :Theorem

fsfsLsfL

ff(t)ftf

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Generalization to Higher order derivatives.

).0()0(')0()}({)}({

,n on induction by , have wegeneralIn . )0(')0()}({

)0(')0()}({ )0(')}('{)}("{

teasily tha see we, Since

)1()2()1()(

2

nnnnn ffsfssfLssfL

fsfsfLs

ffsfsLsfsfsLsfL

(f ')'f "

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Derivatives of the Laplace Transform

Proof.

).}{(1 1 have we

, sfor then ,Let . order lexponentia of) [0,on continuous piecewise is )( Suppose :

(s)fLdsd)((s)

dsFd)(f(t)}(s) L{t

L{f}(s)F(s)tfTheorem

n

nn

n

nnn

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• 1. e -2t sin 2t + e 3t t2.

• 2. t n.

• 3. t sin (bt).

Some Examples.