Mechanics of Advanced Materials and Structures,
Год журнала:
2023,
Номер
31(26), С. 8095 - 8112
Опубликована: Сен. 11, 2023
Mitigating
ambient
vibrations
using
periodic
pile
barriers
has
gained
significant
attention
in
the
past
decade.
The
width
of
bandgap
and
attenuation
coefficient
are
two
important
factors
that
determine
vibration
reduction
capabilities
barriers.
In
certain
situations,
vertical
anti-plane
may
occur,
such
as
those
generated
by
subways.
Therefore,
focus
this
article
is
to
optimize
coefficients
shear
waves
Firstly,
a
single-objective
topology
optimization
framework
developed
based
on
Genetic
Algorithm
(GA)
maximize
at
target
frequency.
considers
effects
frequency,
elastic
modulus
soil,
wave
vector
direction.
A
comparison
between
optimized
traditional
performed
demonstrate
superiority
design.
Secondly,
multi-objective
non-dominated
sorting
GA
II
(NSGA-II)
investigate
relationship
filling
fraction,
well
width.
results
indicate
higher
fraction
larger
coefficient,
while
there
tradeoff
ratio
Thirdly,
an
established
considering
effect
moving
load,
coverage
rate
frequency
range
defined
design
Finally,
numerical
simulations
conducted
validate
effectiveness
mitigating
when
finite
number
rows
used.
Advances in Mechanical Engineering,
Год журнала:
2023,
Номер
15(8)
Опубликована: Авг. 1, 2023
Single
wave
impeding
barrier
has
been
widely
evaluated
to
attenuate
vibrations.
Nevertheless,
research
on
the
utilization
of
multiple-layer
barriers
is
extremely
limited
since
most
studies
focus
periodic
foundations
and
piles.
In
this
work,
attenuation
ground
vibration
utilizing
a
wave-impeding
composed
rigid
elastic
materials
was
investigated
by
applying
improved
plane
expansion
approach
using
notion
phononic
crystals,
then
simulation
proposed
presented
demonstrate
its
relevance
real
case,
where
it
can
isolate
more
than
75%
induced
El
Centro
earthquake.
The
effects
key
factors
zone
are
conducting
thorough
parametric
study.
Numerical
results
that
mitigation
efficiency
at
low
frequencies
increased
as
Young’s
modulus
material
density
two
constant
decreased.
addition,
ANN
model
showed
high
accuracy
predict
those
parameters
in
order
choose
them
according
desired
zone.
findings
study
will
aid
stakeholders
selecting
optimal
geometrical
physical
characteristics
suggested
vibration.
Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 2, 2023
Abstract
Mitigating
ambient
vibrations
using
periodic
pile
barriers
has
gained
significant
attention
in
the
past
decade.
The
width
of
bandgap
and
attenuation
coefficient
are
two
important
factors
that
determine
vibration
reduction
capabilities
barriers.
In
certain
situations,
vertical
anti-plane
may
occur,
such
as
those
generated
by
subways.
Therefore,
focus
this
paper
is
to
optimize
coefficients
shear
waves
Firstly,
a
single-objective
optimization
framework
developed
based
on
Genetic
Algorithm
(GA)
maximize
at
target
frequency.
considers
effects
frequency,
elastic
modulus
soil,
wave
vector
direction.
A
comparison
between
optimized
traditional
performed
demonstrate
superiority
design.
Secondly,
multi-objective
non-dominated
sorting
genetic
algorithm
Ⅱ
(NSGA-II)
investigate
relationship
filling
fraction,
well
width.
results
indicate
higher
fraction
result
larger
coefficient,
while
there
trade-off
ratio
Thirdly,
an
established
considering
effect
moving
load,
coverage
rate
frequency
range
defined
design
Finally,
numerical
simulations
conducted
validate
effectiveness
mitigating
when
finite
number
rows
used.
Mechanics of Advanced Materials and Structures,
Год журнала:
2023,
Номер
31(26), С. 8095 - 8112
Опубликована: Сен. 11, 2023
Mitigating
ambient
vibrations
using
periodic
pile
barriers
has
gained
significant
attention
in
the
past
decade.
The
width
of
bandgap
and
attenuation
coefficient
are
two
important
factors
that
determine
vibration
reduction
capabilities
barriers.
In
certain
situations,
vertical
anti-plane
may
occur,
such
as
those
generated
by
subways.
Therefore,
focus
this
article
is
to
optimize
coefficients
shear
waves
Firstly,
a
single-objective
topology
optimization
framework
developed
based
on
Genetic
Algorithm
(GA)
maximize
at
target
frequency.
considers
effects
frequency,
elastic
modulus
soil,
wave
vector
direction.
A
comparison
between
optimized
traditional
performed
demonstrate
superiority
design.
Secondly,
multi-objective
non-dominated
sorting
GA
II
(NSGA-II)
investigate
relationship
filling
fraction,
well
width.
results
indicate
higher
fraction
larger
coefficient,
while
there
tradeoff
ratio
Thirdly,
an
established
considering
effect
moving
load,
coverage
rate
frequency
range
defined
design
Finally,
numerical
simulations
conducted
validate
effectiveness
mitigating
when
finite
number
rows
used.
