Electroelastically coupled stiffness matrix method for phononic crystals with piezoelectric defects and its applications to filters, sensors, and energy harvesters
Mechanics of Materials,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105262 - 105262
Published: Jan. 1, 2025
Language: Английский
Concurrent generation and amplification of longitudinal and bending waves using defective phononic crystals
Applied Mathematics and Mechanics,
Journal Year:
2025,
Volume and Issue:
46(2), P. 269 - 288
Published: Jan. 30, 2025
Language: Английский
Programmable piezoelectric phononic crystal beams with shunt circuits: A deep learning neural network-assisted design strategy for real-time tunable bandgaps
Gongye Zhang,
No information about this author
Xiu-Dong Gao,
No information about this author
Jun Hong
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et al.
Journal of Applied Physics,
Journal Year:
2024,
Volume and Issue:
136(15)
Published: Oct. 18, 2024
A
deep
learning
neural
network-assisted
design
strategy
for
programmable
piezoelectric
phononic
crystal
(PnC)
beams
with
shunt
circuits
is
proposed.
The
feasibility
of
integrating
into
the
tunable
PnCs
to
achieve
real-time
vibration
isolation
demonstrated
through
numerical
examples.
influence
(capacitance)
on
bandgaps
studied
by
finite
element
(FE)
simulations.
results
show
that
bandgap
frequency
and
range
vary
capacitance
electrode
length.
Moreover,
incorporating
supercell
structures
introduces
an
additional
bandgap,
significantly
expanding
demonstrating
circuit
modifications
can
tailor
width
bandgap.
suite
network
(NN)
algorithms
developed
predicting
inversely
designing
PnC
parameters,
greatly
accelerating
calculation
enabling
faster
inverse
than
existing
models.
accuracy
NN
verified
comparing
their
predictions
those
from
FE
combination
designed
NNs
enables
reduction
isolation.
This
successfully
validated
in
a
practical
scenario
involving
train
rails.
Language: Английский
Opening Bandgap in Monoatomic-diatomic Convertible Metamaterial with Nonlinearity
Myung Hwan Bae,
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Seung‐Hyun Kim,
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Hong Min Seung
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et al.
International Journal of Mechanical Sciences,
Journal Year:
2025,
Volume and Issue:
unknown, P. 110067 - 110067
Published: Feb. 1, 2025
Language: Английский
Phononic crystals with decoupled different defects enhance energy localization and harvesting performance
The Journal of the Acoustical Society of America,
Journal Year:
2025,
Volume and Issue:
157(4), P. 2697 - 2708
Published: April 1, 2025
Utilizing
phononic
crystals
(PnCs)
to
enhance
the
performance
of
piezoelectric
energy
harvesting
(PEH)
devices
is
essential
for
addressing
self-power
challenges
low-power
devices.
Building
on
prior
research
concerning
incomplete
line
defect
PnCs,
this
study
presents
a
PnC
designed
with
decoupled
defects
(i.e.,
point-defects
and
defects).
The
dispersion
curve,
localization,
system
were
investigated.
results
indicate
that
as
distance
between
two
subsystems
point-defect
system)
decreases,
all
constructed
supercells
exhibit
decoupling
properties.
Notably,
when
reduced
unit
cells,
demonstrates
optimal
broadband
localization
performance,
achieving
maximum
output
power
9.49
mW.
Compared
previous
studies,
exhibits
superior
capabilities,
electrical
increasing
by
factor
2.56
7.68.
Consequently,
offer
novel
insights
strategies
enhancing
PEH
through
application
PnCs
multiple
defects.
Language: Английский
Temperature-Controlled Defective Phononic Crystals with Shape Memory Alloys for Tunable Ultrasonic Sensors
Crystals,
Journal Year:
2025,
Volume and Issue:
15(5), P. 412 - 412
Published: April 28, 2025
Phononic
crystals
(PnCs)
have
garnered
significant
interest
owing
to
their
ability
manipulate
wave
propagation,
particularly
through
phononic
band
gaps
and
defect
modes.
However,
conventional
defective
PnCs
are
limited
by
fixed
defect-band
frequencies,
which
restricts
adaptability
dynamic
environments.
This
study
introduces
a
novel
approach
for
temperature-controlled
tunability
of
integrating
shape
memory
alloys
(SMAs)
into
regions.
The
reversible
phase
transformations
SMAs,
driven
temperature
variations,
induce
changes
in
mechanical
properties,
enabling
real-time
adjustment
frequencies.
An
analytical
model
is
developed
predict
the
relationship
between
temperature-modulated
material
properties
shifts,
validated
numerical
simulations.
results
demonstrate
that
frequencies
can
be
dynamically
controlled
within
specified
range,
thereby
enhancing
operational
bandwidth
ultrasonic
sensors.
Additionally,
sensing-performance
analysis
confirms
while
shift
with
temperature,
output
voltage
sensors
remains
stable,
ensuring
reliable
sensitivity
across
varying
conditions.
represents
advancement
tunable
PnC
technology,
paving
way
next-generation
enhanced
reliability
complex
Language: Английский
Experimental Validation for Mechanically Tunable Defect Bands of a Reconfigurable Phononic Crystal with Permanent Magnets
Jeonggyu Yang,
No information about this author
Soo-Ho Jo
No information about this author
Crystals,
Journal Year:
2024,
Volume and Issue:
14(8), P. 701 - 701
Published: Aug. 1, 2024
Phononic
crystals
(PnCs)
have
garnered
significant
attention
due
to
their
unique
ability
control
elastic
waves
in
unconventional
ways.
One
area
of
research
focuses
on
utilizing
defects
within
PnCs.
Defects
create
new
pass
bands
band
gaps,
leading
concentrated
wave
energy
the
defects.
However,
defect-mode-enabled
localization
is
effective
only
at
specific
frequencies,
limiting
its
usefulness
when
frequencies
incident
vary.
Existing
methods
mechanically
tune
defect
involve
changing
geometries
unit
cells
or
attaching
foundations,
which
necessitates
detachment
and
reattachment
certain
structures
depending
engineering
situation.
Considering
these
challenges,
this
study
introduces
a
novel
approach
that
utilizes
reconfigurable
PnC
design,
incorporating
permanent
magnets
ferromagnetic
materials.
The
case
involves
one-dimensional
consisting
long
metal
beam
with
rectangular
block-shaped
periodically
arranged
attached
by
magnetic
forces.
A
created
shifting
subset
parallel.
extent
parallel
movement
alters
vibrating
characteristics
defect,
facilitating
mechanical
defective
PnC.
effectiveness
experimentally
validated.
Language: Английский