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![Page 1: Yeong-Jong Moon 1), Jong-Heon Lee 2) and In-Won Lee 3) 1) Graduate Student, Department of Civil Engineering, KAIST 2) Professor, Department of Civil Engineering,](https://reader036.fdocuments.in/reader036/viewer/2022081516/5697bfe91a28abf838cb6869/html5/thumbnails/1.jpg)
Yeong-Jong Moon1), Jong-Heon Lee2) and In-Won Lee3)
1) Graduate Student, Department of Civil Engineering, KAIST
2) Professor, Department of Civil Engineering, Kyungil Univ.
3) Professor, Department of Civil Engineering, KAIST
Yeong-Jong Moon1), Jong-Heon Lee2) and In-Won Lee3)
1) Graduate Student, Department of Civil Engineering, KAIST
2) Professor, Department of Civil Engineering, Kyungil Univ.
3) Professor, Department of Civil Engineering, KAIST
Modified Modal Methods for Calculating
Eigenpair Sensitivity of Asymmetric Dam
ped Systems
Modified Modal Methods for Calculating
Eigenpair Sensitivity of Asymmetric Dam
ped Systems
Fifth European Conference of Structural DynamicsEURODYN 2002Munich, GermanySept. 2 - 5, 2002
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Contents
Introduction
Previous Studies
Proposed Methods
Numerical Example
Conclusions
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3 3
Introduction
• Applications of Sensitivity Analysis
- Determination of the sensitivity of dynamic response
- Optimization of natural frequencies and mode shapes
- Optimization of structures subject to natural frequencies
• Many sensitivity techniques for symmetric systems have
been developed
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4 4
• For asymmetric systems, few sensitivity technique has
been developed
• Many real systems have asymmetric mass, damping
and stiffness matrices.
- moving vehicles on roads
- ship motion in sea water
- offshore structures
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5 5
jjj yzs , ,
,K ,C ,M
K, C, M,
,,,
,,, , , jjj yzs
Given:
Find:
• Sensitivity Analysis
:
,,,
jj
jj
jj
yy
zz
sswhere
Design parameter
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6 6
- Propose the modal method for sensitivity technique of
symmetric system
- The accuracy is dependent on the number of modes used
in calculation
• K. B. Lim and J. L. Junkins, “Re-examination of Eigenvector
Derivatives”, Journal of Guidance, 10, 581-587, 1987.
Previous Studies
• Conventional Modal Method for Symmetric System
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7 7
- Modified modal method for symmetric system
- This method achieved highly accurate results using
only a few lower modes.
• Q. H. Zeng, “Highly Accurate Modal Method for Calculating
Eigenvector Derivative in Viscous Damping Systems”, AIAA
Journal, 33(4), 746-751, 1994.
• Modified Modal Method for Symmetric System
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8 8
- Propose the modal method for sensitivity technique of
asymmetric system
- The accuracy is dependent on the number of modes used
in calculation
- The truncation error may become significant
• S. Adhikari and M. I. Friswell, “Eigenderivative Analysis of
Asymmetric Non-Conservative Systems”, International Journal
for Numerical Methods in Engineering, 51, 709-733, 2001.
• Conventional Modal Method for Asymmetric System
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9 9
– Expand and as complex linear combinations of
and
N
kkjkj zaz
2
1,
N
kkjkj yby
2
1, (2
)
(1)
,jz ,jy
jz jy
• Basic Idea of Modal Method
where
,jz
: the j-th right eigenvector: the j-th left eigenvector: the derivatives of j-th right eigenvector: the derivatives of j-th left eigenvector,jy
jz
jy
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10 10
jjjjjjj
Tjj
N
jkk kjk
Tkk
kjk
Tkk
j
zafsss
yz
sss
yz
sss
yzz
)(2
)(
)(2
)(
)(2
**
*
,1**
*
,
jjjjjjj
Tjj
N
jkk kjk
Tkk
kjk
Tkk
j
ybgsss
zy
sss
zy
sss
zyy
)(2
)(
)(2
)(
)(2
**
*
,1**
*
,
(3)
(4)
- The derivatives of right eigenvectors
- The derivatives of left eigenvectors
• From this idea, the eigenvector derivatives can be obtained
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11 11
• Objective
- Develop the effective sensitivity techniques for
asymmetric damped systems
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12 12
Proposed Methods
1. Modal Acceleration Method
2. Multiple Modal Acceleration Method
3. Multiple modal Acceleration Method
with Shifted Poles
1. Modal Acceleration Method
2. Multiple Modal Acceleration Method
3. Multiple modal Acceleration Method
with Shifted Poles
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13 13
0)( zBsA
fzBsAAszBsA ,,,,)(
• Differentiate the Eq. (5) with a design parameter
0)( BsAyT
(5)
(6)
(7)
1. Modal Acceleration Method (MA)
• The general equation of motion for asymmetric systems
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14 14
00, ds ddz
fBd s1
0
fYs
s
sssZ
fBfBsAd
T
kkk
d
)(2
1
)( 110
where
(8)
(9)
(10)
• Separate the response into and,z 0sd 0dd
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15 15 jjjj
jjj
Tjj
j
j
N
jkk kjk
Tkk
k
j
kjk
Tkk
k
jTj
ybgsss
zy
s
s
sss
zy
s
s
sss
zy
s
sBy
)(2
)(
)(2
)(
)(2)(
**
*
*
,1**
*
*1
,
jjjjjjj
Tjj
j
j
N
jkk kjk
Tkk
k
j
kjk
Tkk
k
jj
zafsss
yz
s
s
sss
yz
s
s
sss
yz
s
sBz
)(2
)(
)(2
)(
)(2
**
*
*
,1**
*
*1
,
• Substituting the Eq. (9) and (10) into the Eq. (8)
• By the similar procedure, the left eigenvector derivatives can be obtained
(11)
(12)
k
j
s
s
*k
j
s
s
k
j
s
s
*k
j
s
s
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16 16
2. Multiple Modal Acceleration Method (MMA)
11, ds ddz
fsABIBd s ][ 111
fYs
s
sssZ
dfBsAdzd
T
kkk
ssd
2
11
1,1
)(2
1
)(
where
(13)
(14)
(15)
• Separate the response into and,z1sd 1dd
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17 17
• Therefore the right eigenvector derivatives are given as
jjjjjjj
Tjj
j
j
kjk
Tkk
k
j
N
jkk kjk
Tkk
k
jjj
zafsss
yz
s
s
sss
yz
s
s
sss
yz
s
sABsIBz
)(2
)(
)(2
)(
)(2)(
**
*2
***
*2
*
,1
2
11,
• By the similar procedure,
jjjjjjj
Tjj
j
j
kjk
Tkk
k
j
N
jkk kjk
Tkk
k
jTTj
Tj
ybgsss
zy
s
s
sss
zy
s
s
sss
zy
s
sBAsIBy
)(2
)(
)(2
)(
)(2)(
**
*2
***
*2
*
,1
2
,
(16)
(17)
2
k
j
s
s
2
*
k
j
s
s
2
k
j
s
s
2
*
k
j
s
s
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18 18
jjjjjjj
Tjj
M
j
j
kjk
Tkk
M
k
j
N
jkk kjk
Tkk
M
k
jM
m
mjj
zafsss
yz
s
s
sss
yz
s
s
sss
yz
s
sABsBz
)(2
)(
)(2
)(
)(2)(
**
*
***
*
*
,1
1
0
11,
• Based on the similar procedure, we can obtain the higher order equations
jjjjjjj
Tjj
M
j
j
kjk
Tkk
M
k
j
N
jkk kjk
Tkk
M
k
jM
m
mTTj
Tj
ybgsss
zy
s
s
sss
zy
s
s
sss
zy
s
sBAsBy
)(2
)(
)(2
)(
)(2)(
**
*
***
*
*
,1
1
0,
(18)
(19)
M
k
j
s
s
M
k
j
s
s
*
M
k
j
s
s
M
k
j
s
s
*
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19 19
1
0
11
111
11
])()([)(B
]))(([)(B
)])(([()(
M
m
mj
j
jj
ABAsA
AABsIA
AsABBAs
3. Multiple Modal Acceleration with Shifted-Poles (MMAS)
• For more high convergence rate, the term is expanded in Taylor’s series at the position
(20)
1)( BAs j
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20 20
• Using the Eq. (20), we can obtain the following equation
(21)
jjjjjjj
Tjj
M
j
j
kjk
Tkk
M
k
j
N
jkk kjk
Tkk
M
k
j
M
m
mjj
zafsss
yz
s
s
sss
yz
s
s
sss
yz
s
s
ABAsABz
)(2
)(
)(2
)(
)(2
])()([)(
**
*
*
**
*
*
,1
1
0
11,
M
k
j
s
s
M
k
j
s
s
*
![Page 21: Yeong-Jong Moon 1), Jong-Heon Lee 2) and In-Won Lee 3) 1) Graduate Student, Department of Civil Engineering, KAIST 2) Professor, Department of Civil Engineering,](https://reader036.fdocuments.in/reader036/viewer/2022081516/5697bfe91a28abf838cb6869/html5/thumbnails/21.jpg)
21 21
jjjjjjj
Tjj
M
j
j
kjk
Tkk
M
k
j
N
jkk kjk
Tkk
M
k
j
M
m
mTTj
Tj
ybgsss
zy
s
s
sss
zy
s
s
sss
zy
s
s
ABAsABy
)(2
)(
)(2
)(
)(2
])()([)(
**
*
*
**
*
*
,1
1
0,
(22)
• By the similar procedure
M
k
j
s
s
M
k
j
s
s
*
![Page 22: Yeong-Jong Moon 1), Jong-Heon Lee 2) and In-Won Lee 3) 1) Graduate Student, Department of Civil Engineering, KAIST 2) Professor, Department of Civil Engineering,](https://reader036.fdocuments.in/reader036/viewer/2022081516/5697bfe91a28abf838cb6869/html5/thumbnails/22.jpg)
22 22
M
L
Y
X
Z, z
x
y
t
Figure 1. The whirling beam
L. Meirovitch and G. Ryland, “A Perturbation Technique for Gyroscopic Systems with Small Internal and External Damping,” Journal of Sound and Vibration, 100(3), 393-408, 1985.
Numerical Example
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23 23
)()()()()()( tttt FuHKuGCuM
matrix ycirculator :H
matrix gyroscopic :G
0H
H0H,
K0
0KK
,0G
G0G,
C0
0CC,
M0
0MM
12
12
22
11
12
12
22
11
22
11
• Equation of motion
where
![Page 24: Yeong-Jong Moon 1), Jong-Heon Lee 2) and In-Won Lee 3) 1) Graduate Student, Department of Civil Engineering, KAIST 2) Professor, Department of Civil Engineering,](https://reader036.fdocuments.in/reader036/viewer/2022081516/5697bfe91a28abf838cb6869/html5/thumbnails/24.jpg)
24 24
5 ,rad6.21
,5/9EI ,5/4EI ,4/1
,20/KK ,5 ,10M ,/10
1
2232231
2210
ps
NmLNmLNsmhc
NmLmLkgmkgm
yx
Design parameter : L
• Material Property
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25 25
Mode Number Eigenvalues Derivatives
1-8.4987e-03
+2.3563e+00i1.3251e-03
+1.5799e+00i
2-2.7151e-03
+6.3523e+01i2.2533e-03
+8.5934e-01i
31.6771e-02
+1.0548e+01i3.3394e-03
+3.4034e-01i
8-5.8579e-02
+1.8650e+01i -3.7909e-03 -3.3918e-01i
9-4.7285e-02
+2.2774e+01i -2.2533e-03 -8.2215e-01i
10-3.6890e-02
+2.6214e+01i -1.2833e-03
-1.0644e+00i
• Eigenvalues and their derivatives of system
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26 26
DOF Number Eigenvector Derivative
16.0874e-03
-6.2442e-06i 6.3118e-04
+6.3342e-06i
20.0000e+00
+0.0000e+00i 0.0000e+00
+0.0000e+00i
3-7.4415e-03
+6.7358e-06i -7.6005e-04 -7.1917e-06i
8+1.4785e-05 -1.4677e-02i
-1.2799e-05 +5.9162e-03i
90.0000e+00
+0.0000e+00i 0.0000e+00
+0.00005e+00i
108.3733e-05
-5.7187e-02i -3.7941e-05
+1.6957e-02i
• First right eigenvector and its derivative
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27 27
DOF Number
Error (%)
MA MMA MMAS
1 0.831 0.202 0.072
2 0.000 0.000 0.000
3 38.258 1.506 0.478
4 0.000 0.000 0.000
5 4.631 0.121 0.035
6 0.080 0.053 0.012
7 0.000 0.000 0.000
8 1.679 0.588 0.118
9 0.000 0.000 0.000
10 0.520 0.157 0.030
• Errors of modified modal methods using six modes (%)
• MA : Modal Acceleration Method
• MMA : Multiple Modal
Acceleration Method (M=2)
• MMAS : Multiple Modal Accelerations
with Shifted Poles
(M=2, =eigenvalue –1)
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28 28
DOF Number
Error (%)
6 modes 4 modes 2 modes
1 0.072 3.406 2.090
2 0.000 0.000 0.000
3 0.478 0.454 3.140
4 0.000 0.000 0.000
5 0.035 0.035 0.052
6 0.012 0.626 0.383
7 0.000 0.000 0.000
8 0.118 0.114 0.542
9 0.000 0.000 0.000
10 0.030 0.030 0.038
• Errors of MMAS method using 2, 4 and 6 lower modes (%)
(M=2, =eigenvalue –1)
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29 29
• The modified modal methods for the eigenpair derivatives of asymmetric damped systems is derived
• In the proposed methods, the eigenvector derivatives of
asymmetric systems can be calculated by using only a few
lower modes
• Multiple modal acceleration method with shifted poles
is the most efficient technique of proposed methods
Conclusions