MDOF SYSTEMS WITH DAMPING General case -...
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MDOF SYSTEMS WITH DAMPING
General case
Saeed Ziaei Rad
MDOF Systems with hysteretic damping- general case
}0{}]){[]([}]{[ xDiKxM Free vibration solution:
Assume a solution in the form of:tieXx }{}{
Here can be a complex number. The solution here is likethe undamped case. However, both eigenvalues and Eigenvector matrices are complex.The eigensolution has the orthogonal properties as:
][]][[]]; [[]][[][ rT
rT kiDKmM
The modal mass and stiffness parameters are complex.
MDOF Systems with hysteretic damping- general caseAgain, the following relation is valid:
)1(22rr
r
rr i
mk
A set of mass-normalized eigenvectors can be defined as:
rrr m }{)(}{ 2/1
What is the interpretation of complex mode shapes?The phase angle in undamped is either 0 or 180.Here the phase angle may take any value.
Numerical Example with structural damping
m1 m3m2
x1
x2
x3
k1 k3
k2k4 k5
k6
m1=0.5 Kgm2=1.0 Kgm3=1.5 Kgk1=k2=k3=k4=k5=k6=1000 N/m
Undamped
5.100010005.
][M
3 1 1[ K ] 1000 1 3 1
1 1 3
Using command [V,D]=eig(k,M) in MATLAB
66980003352000950
][ 2r
142.493.635.318.782.536.
318.1218.464.][
V =
0.4639 0.2181 -1.31810.5361 0.7819 0.31810.6351 -0.4932 0.1419
D =
1.0e+003 *
0.9503 0 00 3.3518 00 0 6.6979
>> V'*M*V
ans =1.0000 -0.0000 0.0000-0.0000 1.0000 -0.00000.0000 -0.0000 1.0000
>> V'*K*V
ans =1.0e+003 *
0.9503 -0.0000 -0.0000-0.0000 3.3518 -0.0000-0.0000 -0.0000 6.6979
Proportional Structural DampingAssume proportional structural damping as:
6,,1, 05.0 jkd jj
)05.1(6698000)05.1(3352000)05.1(950
][ 2
ii
i
r
)0(142.)0(493.)0(635.)0(318.)180(782.)0(536.
)180(318.1)180(218.)0(464.][
D=0.05*K
D =
150 -50 -50-50 150 -50-50 -50 150
KC=K+i*D
KC =
1.0e+003 *
3.0000 + 1.5000i -1.0000 - 0.5000i -1.0000 - 0.5000i-1.0000 - 0.5000i 3.0000 + 1.5000i -1.0000 - 0.5000i-1.0000 - 0.5000i -1.0000 - 0.5000i 3.0000 + 1.5000i
[V1,D1]=eig(KC,M)
V1 =
1.0000 - 0.0000i 0.7304 + 0.0000i -0.2789 - 0.0000i-0.2413 + 0.0000i 0.8442 + 0.0000i -1.0000 - 0.0000i-0.1077 + 0.0000i 1.0000 + 0.0000i 0.6307 - 0.0000i
D1 =
1.0e+003 *
6.6979 + 0.3349i 0 0 0 0.9503 + 0.0475i 0 0 0 3.3518 + 0.1676i
imag(D1)/real(D1)
ans =
0.0500 0 00 0.0500 00 0 0.0500
D1(2,2)
ans =
9.5025e+002 +4.7513e+001i
V1(:,2)
ans =
0.7304 + 0.0000i0.8442 + 0.0000i1.0000 + 0.0000i
V1(:,2)*.464/.7304
ans =
0.4640 + 0.0000i0.5363 + 0.0000i0.6353 + 0.0000i
>> Mr=V1'*M*V1
Mr =
0.5756 - 0.0000i -0.0000 - 0.0000i 0.0000 - 0.0000i-0.0000 + 0.0000i 2.4794 + 0.0000i -0.0000 + 0.0000i0.0000 + 0.0000i -0.0000 - 0.0000i 1.6356 + 0.0000i
>> Kr=V1'*KC*V1
Kr =
1.0e+003 *
3.8554 + 0.1928i 0.0000 - 0.0000i 0.0000 + 0.0000i-0.0000 + 0.0000i 2.3561 + 0.1178i -0.0000 0.0000 + 0.0000i -0.0000 - 0.0000i 5.4822 + 0.2741i
>> diag(Kr)./diag(Mr)
ans =
1.0e+003 *
6.6979 + 0.3349i0.9503 + 0.0475i3.3518 + 0.1676i
Non-Proportional Structural DampingAssume non-proportional structural damping as:
1 1
j
d 0.1kd 0 , j 2 , ,6
2r
957 ( 1 .067 i ) 0 0[ ] 0 3354( 1 .0042 i ) 0
0 0 6690( 1 .078 i )
)1.3(142.)3.1(492.)0(636.)7.6(316.)181(784.)0(537.)181(321.1)173(217.)5.5(463.
][
D=[0.1*K(1,1) 0 00 0 00 0 0]
D =
300 0 00 0 00 0 0
KC=K+i*D
KC =
1.0e+003 *
3.0000 + 0.3000i -1.0000 -1.0000 -1.0000 3.0000 -1.0000 -1.0000 -1.0000 3.0000
M =
0.5000 0 00 1.0000 00 0 1.5000
>> [V2,D2]=eig(KC,M)
V2 =
0.9242 - 0.0758i 0.6577 - 0.0012i -0.2683 + 0.0341i-0.2170 + 0.0472i 0.7597 + 0.0725i -0.9795 - 0.0205i-0.0989 + 0.0151i 0.8993 + 0.1007i 0.6144 - 0.0130i
D2 =
1.0e+003 *
6.6899 + 0.5219i 0 0 0 0.9565 + 0.0640i 0 0 0 3.3536 + 0.0140i
>> imag(D2)/real(D2)
ans =
0.0780 0 00 0.0669 00 0 0.0042
>> abs(V2(:,2))
ans =
0.65770.76310.9049
>> abs(V2(:,2))*.463/.6577
ans =
0.46300.53720.6370
>> angle(V2(:,2))*180/pi
ans =
-0.10695.44986.3887
abs(V2(:,1))*1.321/.9273
ans =
1.32100.31640.1424
>> angle(V2(:,1))*180/pi
ans =
-4.6881167.7416171.3307
>> V2'*M*V2ans =
0.4943 - 0.0000i 0.0115 - 0.0624i -0.0051 + 0.0442i0.0115 + 0.0624i 2.0270 - 0.0000i -0.0070 - 0.0440i-0.0051 - 0.0442i -0.0070 + 0.0440i 1.5629 + 0.0000i
>> V2'*KC*V2ans =
1.0e+003 *3.3066 + 0.2580i 0.0150 - 0.0590i -0.0177 + 0.1483i0.0442 + 0.4238i 1.9387 + 0.1298i -0.0227 - 0.1475i-0.0111 - 0.2987i -0.0095 + 0.0416i 5.2415 + 0.0220i
>> conj(V2')*M*V2ans =
0.4834 - 0.0950i -0.0000 - 0.0000i -0.0000 - 0.0000i-0.0000 - 0.0000i 1.9860 + 0.3810i -0.0000 - 0.0000i-0.0000 - 0.0000i 0.0000 - 0.0000i 1.5604 + 0.0070i
>> conj(V2')*KC*V2ans =
1.0e+003 *3.2835 - 0.3831i 0.0000 - 0.0000i -0.0000 - 0.0000i0.0000 - 0.0000i 1.8752 + 0.4915i 0.0000 - 0.0000i-0.0000 - 0.0000i 0.0000 - 0.0000i 5.2330 + 0.0454i
>>diag(conj(V2')*KC*V2)./diag(conj(V2')*M*V2)
ans =
1.0e+003 *
6.6899 + 0.5219i0.9565 + 0.0640i3.3536 + 0.0140i
Non-Proportional Structural Damping
Each mode has a different damping factor.All eigenvectors arguments for undamped and proportional damp cases are either 0 or 180.All eigenvectors arguments for non-proportional case are within 10 degree of 0 or 180 (the modes are almost real).
Exercise: Repeat the problem withm1=1Kg, m2=0.95 Kg, m3=1.05 Kgk1=k2=k3=k4=k5=k6=1000 N/m
FRF Characteristics (Hysteretic Damping)
titi eFeXMDiK }{}]){[][]([ 2 Again, one can write:
The receptance matrix can be found as:T
rMDiKH ]][][[])[][]([)( 2212 FRF elements can be extracted:
N
r rrr
krjrjk i
H1
222)(
or
N
r rrr
jkrjk i
AH
1222)(
Modal Constant
MDOF Systems with viscous damping- general caseThe general equation of motion for this case can be written as:
}{}]{[}]{[}]{[ fxKxCxM Consider the zero excitation to determine the natural frequencies and mode shapes of the system:
steXx }{}{ This leads to:
}0{}]){[][]([ 2 XKsCsMThis is a complex eigenproblem. In this case, there are2N eigenvalues but they are in complex conjugate pairs.
MDOF Systems with viscous damping- general case
Nrss
rr
rr ,,1 }, {}{
, *
*
It is customary to express each eigenvalues as:
)1( 2rrrr is
Next, consider the following equation:}0{}]){[][][( 2 rrr KCsMs
Then, pre-multiply by : Hq}{
}0{}]){[][][(}{ 2 rrrHq KCsMs *
MDOF Systems with viscous damping- general case
}0{}]){[][][( 2 qqq KCsMs A similar expression can be written for : q}{
This can be transposed-conjugated and then multiply by r}{
}0{}]){[][][(}{ 2 rqqHq KCsMs **
Subtract equation * from **, to get:
}0{}]{[}){(}]{[}){( 22 rHqqrr
Hqqr CssMss
This leads to the first orthogonality equations:
}0{}]{[}{}]{[}){( rHqr
Hqqr CMss (1)
MDOF Systems with viscous damping- general case
Next, multiply equation (*) by and (**) by : qs rs
}0{}]{[}{}]{[}{ rHqr
Hqqr KMss (2)
Equations (1) and (2) are the orthogonality conditions:If we use the fact that the modes are pair, then
*
2
}{}{
)1(
rq
rrrq is
MDOF Systems with viscous damping- general caseInserting these two into equations (1) and (2):
r
r
rHr
rHr
r
r
r
rHr
rHr
rr
mk
MK
mc
MC
}]{[}{}]{[}{
}]{[}{}]{[}{2
2
Where , , are modal mass, stiffness and damping. rm rk rc
FRF Characteristics (Viscous Damping)
The response solution is:
}{])[][]([}{ 12 FMCiKX We are seeking to a similar series expansion similar to theundamped case.To do this, we define a new vector {u}:
12
}{
Nx
xu
We write the equation of motion as:
1122 }0{}]{0:[}{]:[ NNNN uKuMC
FRF Characteristics (Viscous Damping)
This is N equations and 2N unknowns. We add an identityEquation as:
}0{}]{:0[}]{0:[ uMuM Now, we combine these two equations to get:
}0{}{0
0}{
0
u
MK
uM
MC
Which cab be simplified to:
}0{}]{[}]{[ uBuA 3
FRF Characteristics (Viscous Damping)
Equation (3) is in a standard eigenvalue form. Assuming a trial solution in the form of
NrBAs rr 2,,1} 0{}]){[][(
steUu }{}{
The orthogonality properties cab be stated as:
][]][[][][]][[][
rT
rT
bB
aA
With the usual characteristics:
Nrabs
r
rr 2,,1
FRF Characteristics (Viscous Damping)
Let’s express the forcing vector as:
0}{ 12
FP N
Now using the previous series expansion:
N
r rr
rTr
N siaP
XiX 2
112 )(}}{{}{
And because the eigenvalues and vectors occur in complex conjugate pair:
)(}}{{}{
)(}}{{}{
**
*
112 rsia
Psia
PXi
X
r
rHr
N
r rr
rTr
N
FRF Characteristics (Viscous Damping)
Now the receptance frequency response functionResulting from a single force and response parameter
jkH
kF jX
)1(()1(()(
2*
**
12
rrrr
N
r rrrrr
krjrjk
iaiaH
r
krjr
or
N
r rr
jkrrjkrjk i
SiRH
r122 2
))(/()(
Where:
rrkrkr
krkr
rkrkrrkr
aGGS
GGR
}){/(}{}Re{2}{
)1}Im{}Re{(2}{ 2
M =
1 0 0 00 1 0 00 0 1 00 0 0 1
K =
2000 -1000 0 0-1000 2000 -1000 0
0 -1000 2000 -10000 0 -1000 1000
C =
20 0 0 00 5 0 00 0 0 00 0 0 0
A=[C MM zeros(4,4)];
B=[K zeros(4,4)zeros(4,4) -M];
[V1,D1]=eig(B,-A);
D11=diag(D1)
D11 =
-2.4697 +58.3513i-2.4697 -58.3513i-4.6931 +47.9909i-4.6931 -47.9909i-4.3513 +31.7082i-4.3513 -31.7082i-0.9859 +11.0507i-0.9859 -11.0507i
>> [V1(:,1) V1(:,2)]
ans =
0.0055 - 0.0066i 0.0055 + 0.0066i-0.0022 + 0.0144i -0.0022 - 0.0144i-0.0024 - 0.0137i -0.0024 + 0.0137i0.0017 + 0.0055i 0.0017 - 0.0055i0.3695 + 0.3393i 0.3695 - 0.3393i
-0.8333 - 0.1667i -0.8333 + 0.1667i0.8070 - 0.1070i 0.8070 + 0.1070i
-0.3263 + 0.0838i -0.3263 - 0.0838i
>> [V1(1:4,1) (V1(5:8,1)/V1(5,1))*V1(1,1)]
ans =
0.0055 - 0.0066i 0.0055 - 0.0066i-0.0022 + 0.0144i -0.0022 + 0.0144i-0.0024 - 0.0137i -0.0024 - 0.0137i0.0017 + 0.0055i 0.0017 + 0.0055i