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MTMD with identical stiffness and damping
coefficient involves ( p + 1) independent param-
eters, r
are considered. An alternative strategy is to select
only one of them as a representative.
From Equation (7c), it can be seen that the
first MTMD unit ( m s 1 , called Unit1) has the
heaviest weight among the MTMD units if r f 1 is
the smallest frequency ratio and r f p is the largest
one. Since each MTMD unit has the same stiffness
and damping coefficients, Unit 1 would probably
experience the largest stroke. Consequently, the
stroke of Unit1 is selected to be reduced.
Now, a modified performance index, R j α with
the consideration of stroke, is defined as
, , , and ξ s 0 . Theoretically, with
given ω j , ξ j , and ϕ ij , the optimal MTMD param-
eters, (
r
r
f
f
f p
1
2
r f 1 opt
)
,
(
r f 2 opt …, (
)
,
r f p opt and (
)
,
)
ξ s 0 opt can
be obtained by solving the following system of
equations which are established by differentiating
R j with respect to the ( p + 1) parameters and
equating to zero, respectively, to minimize R j .
R
r
R
r
R
r
R
j
j
j
j
=
0
,
=
0
,
...,
=
0
,
=
0
ξ
f
f
f
s
1
2
p
0
(9)
α
R
= −
(
1
α
)
R
+
α
R
(11)
j
j
v s
1
Then, the optimum stiffness coefficient,
(
k s 0 opt optimum damping coefficient, (
)
,
c s 0 opt
)
,
where α is the stroke weighting factor ranging
from 0 to 1.0. R v s 1 means the stroke ratio of Unit1.
When α = 0, R j α reduces to the conventional
performance index with unlimited movement of
MTMD, while α = 1.0 indicates that the MTMD
are locked. To associate the parameters of Unit1
with the rest of MTMD units, the frequency dif-
ferences between Unit1 and the other MTMD
units ( r
and optimum mass for k th MTMD unit, (
m s k opt
can be obtained. The optimization process can
also be performed by numerical seaching tech-
niques which can be found in mathematical
software packages, such as MATLAB.
)
A New Optimization Criterion:
Considering Stroke Limitation
, r
r
, …, r
r
r
1 ) from the
first-stage design are assumed unchanged in the
second-stage. With the new performance index
R j α which includes the first-stage optimization
result, the second-stage optimization can be pro-
ceeded in the same manner as Equation (9) as
f
f
f
f
f
f
2
1
3
1
p
To consider the stroke of each MTMD unit in
design stage, the k th stroke ratio, R v s k , which is
used to measure the reduction of stroke, is defined
as
2
E v
[
]
α
α
R
r
R
s
with MTMD
R
=
(10)
k
j
j
=
0
,
=
0
(12)
v
2
E v
[
]
s k
ξ
s
with MTMD 0
f
s
k
1
0
with MTMD 0 represents the mean square
stroke of the k th MTMD unit based on the optimum
parameters obtained by the first-stage optimization
procedure. Because there are k units of MTMDs,
it can be a complicated problem if all units' strokes
where E v s k
[
2
]
By solving Equation (12), the optimum damp-
ing ratio, (
ξ α
s 1 opt
ξ α
α
s p opt and optimum
)
,
(
s 2 opt …, (
)
,
ξ
)
,
α can be
obtained with a prior selection of MTMD mass
ratio and the weighting factor, α .
α
α
frequency ratio, (
r f 1
)
,
(
r f 2
)
,
…, (
r f p
)
opt
opt
opt
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