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Noise and Vibrations
(BDC4013)

Chapter 5 – Computational/Numerical Methods
Determination of Natural Frequencies and Mode Shapes
DR MUHD HAFEEZ ZAINULABIDIN
Universiti Tun Hussein Onn Malaysia
Necessity to Use Computational Method



In two degrees of freedom system,
solving the natural frequencies can be
conducted by simply calculating the
root of the second order polynomial.
Aω 4 + Bω 2 + C = 0
By assuming

( )

A ωn

2 2

+ Bω n + C = 0
2

Then the natural frequencies can be found

2
Classical Methods





Standard Matrix Iteration Method
Dunkerly’s Method
Rayleigh’s Method
Holzer’s Method

3
Standard Matrix Iteration

Considering a general
equation of motion

x
[ M ] { &&} + [ K ] { x} = 0

Assuming harmonic
motion

xi (t ) = X i sin(ωt )

Equation to solve

−ω 2 [ M ] { X } + [ K ] { X } = 0

4
Standard Matrix Iteration
(two possible solution)
−ω 2 [ M ] { X } + [ K ] { X } = 0
multiply

−ω 2 [ K ]

−1

−1

[ M ]{ X} +[ K]

−ω 2 [ K ]

[ K]

[ K]

−1

−1

multiply
−1

[ K]{ X} = 0

[ M ]{ X} +[ I]{ X} = 0

1
[ M ]{ X} = 2 { X}
ω

Converge to lowest nat freq

−ω 2 [ M ]

−1

[M]

[ M ]{ X} +[ M ]

−ω 2 [ I ] { X } + [ M ]

−1

−1

−1

[ K]{ X} = 0

[ K]{ X} = 0

[ M ] [ K ] { X } = ω2 { X }
−1

Converge to highest nat freq

5
Standard Matrix Iteration

(Solution procedures to obtain the lowest nat freq)

(1) Identify matrix [K] and [M]
(2) Calculate [K]-1
(3) Define the initial trial vector {X} and convergence criteria
(4) Multiply [K]-1 [M] {X} = 1/ω2{Xnew}
(5) Normalized the result {Xnew}/{X1new)
(6) Check the convergence , use for a new trial {X}
(7) When it is converged

1
= X normalized
2
ωn

6
Standard Matrix Iteration

(Solution procedures to obtain the highest nat freq)

(1) Identify matrix [K] and [M]
(2) Calculate [M]-1
(3) Define the initial trial vector {X} and convergence criteria
(4) Multiply [M]-1 [K] {X} = ω2{Xnew}
(5) Normalized the result {Xnew}/{X1new)
(6) Check the convergence , use for a new trial {X}
(7) When it is converged

ωn = X normalized
2

7
Example Problem 9-1(a)
Calculate the fundamental (lowest)
natural frequency and the
corresponding mode shapes.

k1
m1

x1
k2

m2

k1=10N/m
m1 = 1.2 kg

k2=20N/m

k3=15N/m

m2 = 2.7 kg

x2

k3

8
Example Problem 9-1(b)
Calculate the highest natural
frequency and the corresponding
mode shapes.

k1
m1

x1
k2

m2

k1=10N/m
m1 = 1.2 kg

k2=20N/m

k3=15N/m

m2 = 2.7 kg

x2

k3

9
Dunkerly’ Formula
Dunkerly’ formula is searching for the fundamental (lowest)
natural frequency.
It is based on [K]-1 multiplication

−ω 2 [ K ]

−1

[ M ]{ X} +[ I]{ X} = 0

[ K] [ M ]{ X} −
−1

1
I X } = { 0}
2 [ ]{
ω

1
−1

[ K ] [ M ] − 2 [ I ]  { X } = { 0}


ω



[ a] [ M ] −

[ K]

−1

= [ a]

1
I =0
2 [ ]
ω
10
Dunkerly’ Formula
(calculation procedures)
(1) Identify k11, k22, knn, m1, m2, mn
(2) Calculate natural frequency of the individual component

knn
ωnn ≈
mn

ωnn : natural frequency of a SDOF system
consisting m n and spring of stiffness k nn

(3) Predict the fundamental natural frequency of the system

1
1
1
1
≈ 2+
+L +
ωn 2 ω11 ω22 2
ωnn 2

ωn : fundamental (lowest) natural frequency

11
Example Problem 9-2
Predict the fundamental natural
frequency using Dunkerly method
k1
m1

x1

k1=10N/m
m1 = 1.2 kg

k2=20N/m

k3=15N/m

m2 = 2.7 kg

k2
m2

x2

k3

12
13
14
Example Problem 9-3
5 kg

7 kg

4 kg

E=207 GPa
I=12 10-6 m4

0.5m

0.5m

0.5m

0.5m

Predict the fundamental natural frequency of
the system using Dunkerly method

15
Solution to Problem 9.3
From the known formula for the deflection of a simply
supported beam, the flexibility influence coefficients can
be found.
Px
Deflection, v = −
(3L2 − 4 x 2 ) 0 ≤ x ≤ L
48 EI
2
3 L3
1 L3
a11 = a33 =
and a22 =
256 EI
48 EI

1  3m1 1m2 3m3  L3
≈
+
+

2
256 48 256  EI
ω1 
1  3( 5) 1( 7 ) 3( 4 ) 
23
≈
+
+

2
256 48 256  207 ×109 12 ×10 −6
ω1 

(

)(

)

ω1 = 1111.56 rad/s
16
Rayleigh Method




This method predicts the fundamental
(lowest) natural frequency
This method based on energy method
1
&
T = mx 2
2

T=

1
T
&
&
{ x} [ M ] { x}
2

1
V = kx 2
2

V=

1
T
x} [ K ] { x}
{
2

17
Rayleigh Quotient
T=

1
T
&
&
{ x} [ M ] { x}
2

V=

1
T
{ x} [ K ] { x}
2

{ x} = { X } sin(ωt )
&
{ x} = − { X } ω cos(ωt )
Tmax =

1
T
X } [ M ] { X } ω2
{
2

Vmax =

1
T
X} [ K]{ X}
{
2

Tmax = Vmax

{ X} [ K]{ X}
2
ω =
T
X} [ M ]{ X}
{
T

18
Rayleigh Method
(Calculation procedures)




Identify [K] and [M]
Select any trial vector mode {X}
Predict the fundamental natural
frequency based on the Rayleigh
Quotient
{ X} [ K]{ X}
T
{ X} [ M ]{ X}
T

ω2 =

19
Example problem 9-4
Predict the fundamental natural
frequency using Rayleigh method
k1
m1

x1

k1=10N/m
m1 = 1.2 kg

k2=20N/m

k3=15N/m

m2 = 2.7 kg

k2
m2

x2

k3

20
21
Holzer Method

&&
I1θ1 = −kt1 (θ1 − θ 2 )
&&
I 2θ 2 = −kt1 (θ 2 − θ1 ) − kt 2 (θ 2 − θ 3 )
&&
I θ = −k (θ − θ )
3 3

t3

3

ω 2 I1Θ1 = kt1 (Θ1 − Θ 2 )
ω 2 I 2 Θ 2 = kt1 (Θ 2 − Θ1 ) + kt 2 (Θ 2 − Θ3 )
ω 2 I 3 Θ 3 = kt 3 ( Θ 3 − Θ 2 )

2

Assume

θ i = Θi cos(ωt + φ )

+

n

ω 2 I i Θi = 0
∑
i =1

22
Holzer Method
(calculation)
ω I1Θ1 = kt1 (Θ1 − Θ 2 )
2

ω 2 I 2 Θ 2 = kt1 (Θ 2 − Θ1 ) + kt 2 (Θ 2 − Θ3 )

ω 2 I1Θ1
Θ2 = Θ1 −
kt 1
kt 2 Θ3 = kt 2Θ 2 + kt1 (Θ 2 − Θ1 ) − ω 2 I 2 Θ 2
kt 1
ω 2 I 2Θ2
Θ3 = Θ 2 +
(Θ 2 − Θ1 ) −
kt 2
kt 2

ω 2 I1Θ1 ω 2 I 2 Θ 2
Θ3 = Θ 2 −
−
kt 2
kt 2
ω2
Θ3 = Θ 2 −
( I1Θ1 + I 2Θ2 )
kt 2

23
Holzer Method
(calculation procedures)



Set initial ω=0 and set the sweep increment of ω with a value Δω
Station 1:
X1=1 (or Θ1=1), calculate M1=ω2m1X1 (or ω2I1Θ1)



Station 2:
Calculate X2 (or Θ 2), calculate M2=M1+ ω2m2X2 (or ω2I2Θ2)



Station 3:
Calculate X3 (or Θ 3), calculate M3=M2+ ω2m3X3 (or ω2I3Θ3)



Station n:
Calculate Xn (or Θ n), calculate Mn=Mn-1+ ω2mnXn (or ω2InΘn)

24
Example problem 9-5

I1=2 kg m2
I2=4 kg m2

Calculate the natural
frequencies and mode
shapes

Kt=4 MNm/rad

25
26
27
Holzer Method
(summary calculation)
Torsion

Translation

Θ1 = 1

X1 = 1

ω 2 I1Θ1
Θ2 = Θ1 −
kt 1

ω 2 m1 X 1
X 2 = X1 −
k1

ω2
Θ3 = Θ 2 −
( I1Θ1 + I 2Θ 2 )
kt 2

ω2
X3 = X2 −
( m1 X 1 + m2 X 2 )
k2

ω 2  i −1

Θi = Θi −1 −
I k Θk ÷
∑ 
kti −1  k =1

i = 2,3,L n

ω 2  i −1

X i = X i −1 −
mk X k ÷
∑
ki −1  k =1


i = 2,3,L n

28
Example problem 9-6

I1=2 kg m2
I2=4 kg m2

Calculate the natural
frequencies and mode
shapes

I3=2 kg m2
kt1=3 MNm/rad
Kt2=2 MNm/rad
29

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L5 determination of natural frequency & mode shape

  • 1. Noise and Vibrations (BDC4013) Chapter 5 – Computational/Numerical Methods Determination of Natural Frequencies and Mode Shapes DR MUHD HAFEEZ ZAINULABIDIN Universiti Tun Hussein Onn Malaysia
  • 2. Necessity to Use Computational Method  In two degrees of freedom system, solving the natural frequencies can be conducted by simply calculating the root of the second order polynomial. Aω 4 + Bω 2 + C = 0 By assuming ( ) A ωn 2 2 + Bω n + C = 0 2 Then the natural frequencies can be found 2
  • 3. Classical Methods     Standard Matrix Iteration Method Dunkerly’s Method Rayleigh’s Method Holzer’s Method 3
  • 4. Standard Matrix Iteration Considering a general equation of motion x [ M ] { &&} + [ K ] { x} = 0 Assuming harmonic motion xi (t ) = X i sin(ωt ) Equation to solve −ω 2 [ M ] { X } + [ K ] { X } = 0 4
  • 5. Standard Matrix Iteration (two possible solution) −ω 2 [ M ] { X } + [ K ] { X } = 0 multiply −ω 2 [ K ] −1 −1 [ M ]{ X} +[ K] −ω 2 [ K ] [ K] [ K] −1 −1 multiply −1 [ K]{ X} = 0 [ M ]{ X} +[ I]{ X} = 0 1 [ M ]{ X} = 2 { X} ω Converge to lowest nat freq −ω 2 [ M ] −1 [M] [ M ]{ X} +[ M ] −ω 2 [ I ] { X } + [ M ] −1 −1 −1 [ K]{ X} = 0 [ K]{ X} = 0 [ M ] [ K ] { X } = ω2 { X } −1 Converge to highest nat freq 5
  • 6. Standard Matrix Iteration (Solution procedures to obtain the lowest nat freq) (1) Identify matrix [K] and [M] (2) Calculate [K]-1 (3) Define the initial trial vector {X} and convergence criteria (4) Multiply [K]-1 [M] {X} = 1/ω2{Xnew} (5) Normalized the result {Xnew}/{X1new) (6) Check the convergence , use for a new trial {X} (7) When it is converged 1 = X normalized 2 ωn 6
  • 7. Standard Matrix Iteration (Solution procedures to obtain the highest nat freq) (1) Identify matrix [K] and [M] (2) Calculate [M]-1 (3) Define the initial trial vector {X} and convergence criteria (4) Multiply [M]-1 [K] {X} = ω2{Xnew} (5) Normalized the result {Xnew}/{X1new) (6) Check the convergence , use for a new trial {X} (7) When it is converged ωn = X normalized 2 7
  • 8. Example Problem 9-1(a) Calculate the fundamental (lowest) natural frequency and the corresponding mode shapes. k1 m1 x1 k2 m2 k1=10N/m m1 = 1.2 kg k2=20N/m k3=15N/m m2 = 2.7 kg x2 k3 8
  • 9. Example Problem 9-1(b) Calculate the highest natural frequency and the corresponding mode shapes. k1 m1 x1 k2 m2 k1=10N/m m1 = 1.2 kg k2=20N/m k3=15N/m m2 = 2.7 kg x2 k3 9
  • 10. Dunkerly’ Formula Dunkerly’ formula is searching for the fundamental (lowest) natural frequency. It is based on [K]-1 multiplication −ω 2 [ K ] −1 [ M ]{ X} +[ I]{ X} = 0 [ K] [ M ]{ X} − −1 1 I X } = { 0} 2 [ ]{ ω 1 −1  [ K ] [ M ] − 2 [ I ]  { X } = { 0}   ω   [ a] [ M ] − [ K] −1 = [ a] 1 I =0 2 [ ] ω 10
  • 11. Dunkerly’ Formula (calculation procedures) (1) Identify k11, k22, knn, m1, m2, mn (2) Calculate natural frequency of the individual component knn ωnn ≈ mn ωnn : natural frequency of a SDOF system consisting m n and spring of stiffness k nn (3) Predict the fundamental natural frequency of the system 1 1 1 1 ≈ 2+ +L + ωn 2 ω11 ω22 2 ωnn 2 ωn : fundamental (lowest) natural frequency 11
  • 12. Example Problem 9-2 Predict the fundamental natural frequency using Dunkerly method k1 m1 x1 k1=10N/m m1 = 1.2 kg k2=20N/m k3=15N/m m2 = 2.7 kg k2 m2 x2 k3 12
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  • 15. Example Problem 9-3 5 kg 7 kg 4 kg E=207 GPa I=12 10-6 m4 0.5m 0.5m 0.5m 0.5m Predict the fundamental natural frequency of the system using Dunkerly method 15
  • 16. Solution to Problem 9.3 From the known formula for the deflection of a simply supported beam, the flexibility influence coefficients can be found. Px Deflection, v = − (3L2 − 4 x 2 ) 0 ≤ x ≤ L 48 EI 2 3 L3 1 L3 a11 = a33 = and a22 = 256 EI 48 EI 1  3m1 1m2 3m3  L3 ≈ + +  2 256 48 256  EI ω1  1  3( 5) 1( 7 ) 3( 4 )  23 ≈ + +  2 256 48 256  207 ×109 12 ×10 −6 ω1  ( )( ) ω1 = 1111.56 rad/s 16
  • 17. Rayleigh Method   This method predicts the fundamental (lowest) natural frequency This method based on energy method 1 & T = mx 2 2 T= 1 T & & { x} [ M ] { x} 2 1 V = kx 2 2 V= 1 T x} [ K ] { x} { 2 17
  • 18. Rayleigh Quotient T= 1 T & & { x} [ M ] { x} 2 V= 1 T { x} [ K ] { x} 2 { x} = { X } sin(ωt ) & { x} = − { X } ω cos(ωt ) Tmax = 1 T X } [ M ] { X } ω2 { 2 Vmax = 1 T X} [ K]{ X} { 2 Tmax = Vmax { X} [ K]{ X} 2 ω = T X} [ M ]{ X} { T 18
  • 19. Rayleigh Method (Calculation procedures)    Identify [K] and [M] Select any trial vector mode {X} Predict the fundamental natural frequency based on the Rayleigh Quotient { X} [ K]{ X} T { X} [ M ]{ X} T ω2 = 19
  • 20. Example problem 9-4 Predict the fundamental natural frequency using Rayleigh method k1 m1 x1 k1=10N/m m1 = 1.2 kg k2=20N/m k3=15N/m m2 = 2.7 kg k2 m2 x2 k3 20
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  • 22. Holzer Method && I1θ1 = −kt1 (θ1 − θ 2 ) && I 2θ 2 = −kt1 (θ 2 − θ1 ) − kt 2 (θ 2 − θ 3 ) && I θ = −k (θ − θ ) 3 3 t3 3 ω 2 I1Θ1 = kt1 (Θ1 − Θ 2 ) ω 2 I 2 Θ 2 = kt1 (Θ 2 − Θ1 ) + kt 2 (Θ 2 − Θ3 ) ω 2 I 3 Θ 3 = kt 3 ( Θ 3 − Θ 2 ) 2 Assume θ i = Θi cos(ωt + φ ) + n ω 2 I i Θi = 0 ∑ i =1 22
  • 23. Holzer Method (calculation) ω I1Θ1 = kt1 (Θ1 − Θ 2 ) 2 ω 2 I 2 Θ 2 = kt1 (Θ 2 − Θ1 ) + kt 2 (Θ 2 − Θ3 ) ω 2 I1Θ1 Θ2 = Θ1 − kt 1 kt 2 Θ3 = kt 2Θ 2 + kt1 (Θ 2 − Θ1 ) − ω 2 I 2 Θ 2 kt 1 ω 2 I 2Θ2 Θ3 = Θ 2 + (Θ 2 − Θ1 ) − kt 2 kt 2 ω 2 I1Θ1 ω 2 I 2 Θ 2 Θ3 = Θ 2 − − kt 2 kt 2 ω2 Θ3 = Θ 2 − ( I1Θ1 + I 2Θ2 ) kt 2 23
  • 24. Holzer Method (calculation procedures)   Set initial ω=0 and set the sweep increment of ω with a value Δω Station 1: X1=1 (or Θ1=1), calculate M1=ω2m1X1 (or ω2I1Θ1)  Station 2: Calculate X2 (or Θ 2), calculate M2=M1+ ω2m2X2 (or ω2I2Θ2)  Station 3: Calculate X3 (or Θ 3), calculate M3=M2+ ω2m3X3 (or ω2I3Θ3)  Station n: Calculate Xn (or Θ n), calculate Mn=Mn-1+ ω2mnXn (or ω2InΘn) 24
  • 25. Example problem 9-5 I1=2 kg m2 I2=4 kg m2 Calculate the natural frequencies and mode shapes Kt=4 MNm/rad 25
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  • 28. Holzer Method (summary calculation) Torsion Translation Θ1 = 1 X1 = 1 ω 2 I1Θ1 Θ2 = Θ1 − kt 1 ω 2 m1 X 1 X 2 = X1 − k1 ω2 Θ3 = Θ 2 − ( I1Θ1 + I 2Θ 2 ) kt 2 ω2 X3 = X2 − ( m1 X 1 + m2 X 2 ) k2 ω 2  i −1  Θi = Θi −1 − I k Θk ÷ ∑  kti −1  k =1  i = 2,3,L n ω 2  i −1  X i = X i −1 − mk X k ÷ ∑ ki −1  k =1   i = 2,3,L n 28
  • 29. Example problem 9-6 I1=2 kg m2 I2=4 kg m2 Calculate the natural frequencies and mode shapes I3=2 kg m2 kt1=3 MNm/rad Kt2=2 MNm/rad 29