Journal of Computational Design and Engineering,
Год журнала:
2024,
Номер
11(3), С. 56 - 71
Опубликована: Апрель 16, 2024
Abstract
Metasurfaces
can
effectively
attenuate
Rayleigh
waves
propagating
in
soil,
safeguarding
structures
from
ambient
vibrations
or
earthquakes.
However,
there
remains
a
lack
of
efficient
approaches
for
designing
metasurfaces
that
isolate
within
desired
frequency
ranges
under
different
site
conditions.
This
study
presents
deep
learning
(DL)-based
topology
optimization
method
isolating
target
range,
which
has
potential
applications
surface
wave
control.
The
proposed
DL
model
employs
variational
autoencoder
to
transform
high-dimensional
and
discrete
topologies
into
low-dimensional
continuous
latent
vectors,
reducing
the
design
difficulty.
On
this
basis,
conditional
tandem
neural
network
is
constructed
optimize
vectors
soil
conditions,
improving
efficiency
verifying
universality
method.
reliability
validated
through
100
tests
with
determination
coefficients
more
than
0.99.
In
addition,
generations
same
are
explored,
providing
designers
choices.
insulation
capabilities
designed
against
Metro-induced
demonstrated
time-
frequency-domain
responses.
presented
DL-aided
provides
novel
insight
customization
manipulating
waves.
Abstract
In
this
study,
we
achieved
energy
localization
and
amplification
of
flexural
vibrations
by
utilizing
the
defect
mode
plate-attachable
locally
resonant
metamaterials,
thereby
realizing
compact
low-frequency
vibration
suppression
harvesting
with
enhanced
output
performance.
We
designed
a
cantilever-based
metamaterial
unit
cell
to
induce
local
resonance
inside
periodic
supercell
structure
form
bandgap
within
targeted
range
300–450
Hz.
Subsequently,
area
was
created
removing
some
cells
break
periodicity
metamaterial,
which
led
isolation
energy.
This
localized
simultaneously
converted
into
electrical
piezoelectric
harvester
coupled
area.
Consequently,
substantially
power
at
360
Hz,
43-times
higher
than
that
bare
plate
without
metamaterials.
The
proposed
offers
useful
multifunctional
platform
capability
harvesting,
while
exhibiting
easy
handling
via
attachable
designs
can
be
tailored
in
regime.
Journal of Materials Chemistry C,
Год журнала:
2022,
Номер
10(46), С. 17602 - 17610
Опубликована: Янв. 1, 2022
A
stacked
XGBoost/LightGBM
model
was
developed
to
predict
and
systematically
investigate
various
high-performance
SL-EBLs
suggest
a
simpler
experimentally
realizable
low
Al-content
SL-EBL
design.
Results in Physics,
Год журнала:
2024,
Номер
63, С. 107870 - 107870
Опубликована: Июль 10, 2024
Piezoelectric
energy
harvesting
of
mechanical
waves
exhibits
great
potential
applications
in
electricity
generation
for
low-powered
electronic
devices.
In
this
work,
the
metasurface-assisted
phononic
cavity
is
proposed
enhancement
piezoelectric
elastic
flexural
waves.
By
employing
two-dimensional
plate-type
metamaterial,
we
construct
a
that
possesses
ability
to
localize
and
amplify
On
other
hand,
purpose
wave
focusing,
sparse
metasurface
inversely
designed
based
on
interference
theory
through
particle
swarm
optimization
algorithm.
For
collaborative
manipulation,
set
front
cavity.
Additionally,
patches
are
attached
within
cavities.
The
characteristics
studied
by
using
finite
element
method.
comparison,
conventional
(i.e.,
without
metasurface)
reference
bare
plate
also
considered.
Due
wavefront
control
metasurface,
more
guided
into
region.
Thus,
compared
with
plate,
power
amplification
ratios
102
7,
respectively.
electrical
outputs
remarkably
boosted
assistance
metasurface.
Materials & Design,
Год журнала:
2023,
Номер
230, С. 111974 - 111974
Опубликована: Май 3, 2023
Medical
concentric
tubes
have
recently
been
designed
using
auxetic
structures
with
negative
Poisson's
ratios
to
reduce
undesirable
snapping
instability
and
improve
mechanical
performance.
Despite
the
vast
range
of
stiffness
levels,
prior
designs
were
restricted
relatively
simple
geometries
like
square
or
triangular
holes.
Here,
we
present
a
novel
free-form
optimization
for
designing
bending
torsional
tubular
multi-objective
Bayesian
(MBO)
method.
The
initial
dataset
hole
shapes
is
generated
non-parametric
Bézier
curve,
corresponding
properties
are
estimated
via
numerical
analysis.
acquisition
function
suggests
new
shape
higher
performance
metrics
based
on
dataset,
updates
regression
model
made
data
points
prediction
accuracy.
Compared
conventional
tube
rectangular
holes,
optimized
design
improves
key
factor,
ratio
rigidity,
by
32%
25%,
respectively,
expanding
existing
space.
optimally
was
validated
resonant
vibration
tests.
