Analysis of MDOF Systems: Equations, Modal Responses, Damping, Assignments of Mechanical Engineering

An in-depth analysis of Multi-Degree-Of-Freedom (MDOF) systems, covering equations, modal responses, and damping. It includes information on natural frequencies, mode shapes, and response spectrum modal responses. The document also discusses various types of damping, including mass-proportional, stiffness-proportional, and Rayleigh damping.

Typology: Assignments

2019/2020

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Last update: 2010 Ahmed Elgamal
Multi-Degree-Of-Freedom (MDOF)
Systems and Modal Analysis
Ahmed Elgamal
1
Ahmed Elgamal
SDOF Shear Building (rigid roof)
m = lumped mass = mroof + 2 (1/2 mcol)
3c
3c
col h
24EI
h
12EI
22kk
g
umuckuum
2
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff

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Download Analysis of MDOF Systems: Equations, Modal Responses, Damping and more Assignments Mechanical Engineering in PDF only on Docsity!

Last update: 2010 Ahmed Elgamal

Multi-Degree-Of-Freedom (MDOF)

Systems and Modal Analysis

Ahmed Elgamal

1

Ahmed Elgamal

SDOF Shear Building (rigid roof)

m = lumped mass = mroof + 2 (1/2 mcol)

3

c 3

c col

h

24EI

h

12EI

k 2k  2 

g mu  kucumu

2

2 - Story Shear Building (2-DOF system)

m 1

m 2

k 1

k 2

u 1

u 2

 

  

 2 ^2  mcol 2

1 m mroof 2

1 ^1  mcol 2

m mfloor 4

k 1 2kcol1 k^2 2kcol

m 2 u^2 k 2 (u 2 u 1 )m 2 ug

g 2

1

2

1

2 2

1 2 2

2

1

2

1 u m

m

u

u

k k

k k k

u

u

0 m

m 0  

  

  

  

  

  

  

   

  

  

  

m 1 u^1 k 2 (u 1 u 2 )k 1 u 1 m 1 ug

mu ku m 1 ug

or,

where 1 or 1 is the Identity Matrix

m  u   ku  m1 ug

3

Ahmed Elgamal

m 1

m 3

k 1

k 2

u 1

u 2

u 3

k 3

m 2

m 3 u^3 k 3 (u 3 u 2 )m 3 ug

m 2 u^2 k 3 (u 2 u 3 )k 2 (u 2 u 1 )m 2 ug

m 1 u^1 k 2 (u 1 u 2 )k 1 u 1 m 1 ug

  g

3

2

1

3

2

1

3 3

2 2 3 3

1 2 2

3

2

1

3

2

1 u

m

m

m

u

u

u

0 k k

k k k k

k k k 0

u

u

u

0 0 m

0 m 0

m 0 0  







 

  

  

3 - Story Shear Building (3-DOF system)

4

Natural Frequencies of a N-DOF system

Similar to the SDOF system, MDOF systems have natural frequencies. A 2 - DOF

has 2 natural frequencies w 1 and w 2 , and a n - DOF system has natural frequencies

w 1 , w 2 , …, w n

Similar to the SDOF, free vibration involves the system response in its

natural frequencies. The corresponding Free Vibration Equation is (with

no damping):

mu   ku0

In free vibration, the system will oscillate in a steady-state harmonic

fashion, such that:

u u

2  ω

e.g. u asinω t  bcos ωt gives u u

2

7

Ahmed Elgamal

substituting for (^) u , we get:

- mku0

2 ω

or

k - mu0

2 ω

Equation 1

The above equation represents a classic problem in

Math/Physics, known as the Eigen-value problem.

The trivial solution of this problem is u = 0 (i.e., nothing is

happening, and the system is at rest).

8

For a non-trivial solution (which will allow for computing the

natural frequencies during free vibration), the determinant of

k - m0

2 ω or k^ - λ m ^0 2 where λ ω

For a 2 - DOF system for instance (see next page), the

above determinant calculation will result in a quadratic

equation in the unknown term l. If this quadratic equation

is solved (by hand), two roots are found (l 1 and l 2 ), which

define w 1 and w 2 (the natural resonant frequencies of this

2 - DOF system).

k - m

2 ω^ must be equal to zero such that:

9

Ahmed Elgamal

2 - Story Shear Building (2-DOF system)

m 1

m 2

k 1

k 2

u 1

  u^2

g 2

1

2

1

2 2

1 2 2

2

1

2

1 u m

m

u

u

k k

k k k

u

u

0 m

m 0  

  

  

  

  

  

  

   

  

  

  

 

  

  

  

  

  

 

  

0

0

u

u

k k m

k k m k

2

1

2 2 2

1 2 1 2 l

l

 k - l m  u  0

  0 k k m

k k m k

2 2 2

1 2 1 2   

l

l

( k 1 k 2  lm 1 )(k 2 lm 2 )(k 2 )(k 2 ) 0

(m m) ((m 1 k 2 m 2 (k 1 k 2 )) (k 1 k 2 ) 0

2

1 2 l   l 

2

a l  b l c 

a

b b ac

2

2

2

l 1

Solve for the l 1 and l 2 using the standard approach

 

  

Y Z

W X

Determinant = WZ-XY

Note: For

Set Determinant = 0:

or,

10

2 - DOF system ( 2 mode shapes f 1 and f 2 ) Ahmed Elgamal

u 1

m 2 u 2

m 1

φ 11

φ 21

f 12

f 22

u 1

m 2 u 2

m 1

φ 11

φ 21

f

f

Note: Any mode shape f n only defines relative amplitudes of motion of the different degrees of freedom in the MDOF system. For instance, if you are solving a 2 - DOF system, you might end up with something like (when solving for the first mode):

f 11 - 2 f 21 = 0 , only defining a ratio between amplitudes of f 11 and f 21

(for instance, if f 11 = 1 , then f 21 = 0. 5 , or if you choose f 11 = 2 , then f 21 = 1 , and so forth).

Generally, go ahead and make fmn= 1 (where m is top floor Dof and n is mode shape number) and solve for the other degrees of freedom in the vector f n

21

11 1

f

f

f

22

12 2 f

f

f

(^) 13

Ahmed Elgamal

Note: When you substitute any of the wn values into Eq. 1 , the determinant of the matrix (k - wn^2 m) automatically becomes = 0 , since this wn is a root of the determinant equation (i.e., the matrix becomes singular). The determinant being zero is a necessary condition for obtaining a vector u (the mode shape f n ) that is not equal to zero (i.e., a solution other than the trivial solution of u = 0.

2 - Story shear building (one node in mode 2) 4 - story shear building (4-DOF system) Note one node in mode 2, two in mode 3, and 3 in mode 4

3 - Story Shear Building

node

node node

node

Sample Mode shape Configurations

14

n n

T

φ n m φ M

n

2 n n n

T

φ n k φ K ωM

n 1.

T

φ n m φ 

2 n n

T

φ n k φ ω

Properties of f

n

b) For any mode f n , modal mass Mn is defined by:

d) If then

c) For any mode f n , modal stiffness Kn is defined by:

To do that, multiply each component of mode f n by

Mn

0 (not^ ) r

T r n

T

φ n k φ  φ m φ 

r^0

T

φn φ 

a) Mode shapes are orthogonal such that (for any nr)

15

Ahmed Elgamal

Solution of by Mode superposition

Example of a 2-DOF system ( 2 mode shapes and ) 1 φ 2 φ

u 1

m 2 u 2

m 1

φ 21 f 22

f 12

16

Note that the original coupled matrix Eq. of motion, has now become

a set of un-coupled equations. You can solve each one separately (as

a SDOF system), and compute histories of q 1 and q 2 and their time

derivatives. To compute the system response, plug the q vector back

into Equation 2 and get the u vector

(the same for the time derivatives to get relative velocity and

acceleration).

The beauty here is that there is no matrix operations involved, since

the matrix equation of motion has become a set of un-coupled

equation, each including only one generalized coordinate q

n

uΦq

19

Ahmed Elgamal

Now, you can add any modal damping you wish (which is

another big plus, since you control the damping in each mode

individually). If you choose = 0.02 or 0.05, the equations

become:

Damping in a Modal Solution

i

g i

i i

2 i i i i i u M

L q  2 ωq ωq  ^ , i = 1, 2, … NDOF

OK, go ahead now and solve for qi(t) in the above uncoupled equations

(using a SDOF-type program), and the final solution is obtained from:

uΦq

u ^  Φq 

u   Φq 

g

t

u   u  1 u

20

u (^)    qΦq

2

1

32

22

31

21

11 12

2

32

22

12

1

31

21

11

3

2

1

q

q q q

u

u

u

φ φ

φ

φ

φ

φ

φ φ

φ

φ

φ

φ

φ

φ

Modal Analysis (3-DOF system)

The solution u will be represented by a summation of the mode shapes fn, each multiplied by a scaling factor qn (known as the generalized coordinate). For instance, for the 3-DOF system:

In the above, F is known as the modal matrix. As such, changes in the displaced shape

of the structure u with time will be captured by the time histories of the vector q

Note: If a two mode solution is sought, the system above becomes:

u    qΦq

3

2

1

31 32 33

21 22 23

11 12 13

3

33

23

13

2

32

22

12

1

31

21

11

3

2

1

q

q

q

q q q

u

u

u

φ φ φ

φ φ φ

φ φ φ

φ φ φ

φ

φ

φ

φ

φ

φ

φ

φ

φ

1 ^1 ^1

31

21

11

3

2

1 q q

u

u

u

 φ

φ

φ

φ

u

Note: If a single (1st^ or fundamental) mode solution is sought, the system above

becomes:

21

Ahmed Elgamal

Multi-Degree-Of-Freedom (MDOF) Response Spectrum Procedure

  1. Once you have generalized coordinates and uncoupled equations, use response spectrum to get maximum values of response (ri)max for each mode separately.

Calculate expected max response ( (^) r) using  (^)  

2 rmax rimax  root sum square formula

where i = 1, 2, … N degrees of freedom of interest (maybe first 4 modes at most) and r is any quantity of interest such as |umax| or SD

(note that summing the maxima from each mode directly is typically too conservative and is therefore not popular; because the maxima occur at different time instants during the earthquake excitation phase)

See A. Chopra “Dynamics of Structures” for improved formulae to estimate rmax.

22

Damping Matrix for MDOF Systems

Mass-proportional damping

c = a o m

Stiffness-proportional damping

c = a 1 k

Classical damping (Rayleigh damping)

Stiffness proportional damping appeals to intuition

because it generates damping based on story

deformations. However, mass proportional damping may

be needed as will be shown below.

g

mu  ^  cu  ku  m1 u

c a 0 m a 1 k

25

In any modal equation, we have

where,

Therefore, a o can be specified to obtain any desired z n for

a given mode n such that Cn = a 0 Mn

or

(e.g. at w 1 = 2 radians/s, z 1 = .05)  find a 0

Ahmed Elgamal

M (^) n qn CnqnKnqn 0

n n n n C  2 ζωM

2 ζ (^) n ωnMna 0 Mn 0 n n

a  2 ζ ω

Mass-proportional damping: c = a

o

m

Defining a 0 to obtain a desired modal damping z n in mode n

26

With a 0 defined by a 0 = 2 zn wn, this form of mass proportional

damping will change with frequency according to z = a 0 / 2 w as

shown in the figure below.

o

a

z

z

ω n

c ao m

ω 1 ω 2 ω 3 ω 4

o

a

ω n

c ao m

ω 1 ω 2 ω 3 ω 4

27

In any modal equation, we have

where, and

Therefore, a o can be specified to obtain any desired  n for

a given mode n such that Cn = a 1 Kn , or:

or

(e.g. at w 1 = 2 radians/s, z 1 = .05)  find a 1

Ahmed Elgamal

M (^) n qn CnqnKnqn 0

n

2 Cn  2 ζnωnMn K (^) n ωnM

ζ Mn a 1 Mn

2 (^2) n ωn  ωn a 1  2 ζn/ωn

Stiffness-proportional damping: c = a

1

k

Defining a 1 to obtain a desired modal damping zn

28

z

Frequency range of interest

ω i j

ω

w 1 for example 2 nd^ or , 3rd^ resonance for example

Combined

Stiffness-proportional damping

Mass-proportional damping

nearly uniform damping

c a 1 k

c a 0 m

c a 0 m a 1 k

Variation of Classical (Rayleigh) Damping with Frequency

Damping defined by z = (a 0 / 2 w)+(a 1 w/2) results in the variation shown by the

combined curve below, which has the desirable feature of being somewhat uniform

within a frequency range of interest (say 1 Hz to 7 Hz or 2  to 14  in radians/s).

31

Notes

  1. For a choice of z i

= z j

= z same damping ratio in the

two modes, we get

,

  1. Classical damping and is attractive because of

combination of mass and stiffness, allowing the no-

damping free-vibration mode shapes to un-couple the

matrix equation of motion.

Ahmed Elgamal

i j

i j 0

2 a ζ ω ω

ωω

i j

1

2 a ζ ω ω

32

Caughey damping

The above procedure was generalized by Caughey to allow for more

control over damping in the specified modes of interest (i.e. to be

able to specify z for more than 2 modes i and j)

In this generalization, you can stay within the scope of classical

damping by using

 ^ 

N 1

i 0

1 i

c m a i m k

to find coefficients to match zi modal damping ratios, see for

instance “Dynamics of Structures” by A. Chopra.

ai

33

Ahmed Elgamal

Disadvantages:

  1. c can become a full matrix instead of being a banded

matrix (if m and k are banded) as with c = a 0 m + a 1 k

  1. You must check to ensure that you don’t end up with a

negative zi in some mode where you have not specifically

specified damping (because damping variation with

frequency might display sharp oscillations).

In summary, c = a 0 m + a 1 k is the usual choice at present

despite the limitations discussed above.

34