Waves in Random and Complex Media,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 32
Published: Jan. 22, 2023
In
the
presented
paper,
by
using
deep
neural
network
(DNN),
vibrational
response
associated
with
a
three-layered
circular
sector
plate,
in
which
core
is
made
of
honeycomb
structures
and
face
sheets
are
composites
reinforced
graphene
oxide
powders
studied.
Two-directional
generalized
differential
quadrature
method
(2D-GDQM),
as
solution
method,
employed
to
discretize
solve
ordinary
equations.
By
momentum-based
optimizer
system,
optimum
value
different
parameters
acquired.
First-order
shear
deformation
theory
(FSDT)
utilized
order
attain
displacement
fields
based
on
governing
equations
extracted.
The
frequency
system
attained
adaptive
learning
method.
Additionally,
results
well
formulation
current
study
validated
other
papers.
It
was
shown
that
DNN-based
model
studying
these
systems
has
less
error
than
models.
Lastly,
impact
various
for
composite
sheets,
investigated
detail.
Waves in Random and Complex Media,
Journal Year:
2021,
Volume and Issue:
34(2), P. 1017 - 1040
Published: May 24, 2021
The
goal
of
the
present
research
is
an
investigation
smart
control
and
wave
propagation
examination
a
graphene
nanoplatelets
reinforced
(GPLRC)
cylindrical
micro-shell
covered
with
piezoelectric
layers
as
sensor
actuator
(PLSA)
in
framework
analytical
method.
stress
strain
components
are
given
based
on
first-order
shear
deformable
theory
(FSDT),
for
accessing
size
effects,
nonlocal
gradient
used
obtaining
correct
results.
material
properties
GPLRC
modeled
via
modified
Halpin–Tsai
rule
mixture.
external
voltage
applied
to
layer,
Proportional-Derivative
(PD)
controller
output
control.
governing
equations
electrically
derived
Hamilton's
principle.
This
work
concludes
that
PD
controller,
number,
voltage,
weight
fraction
(GPL)
have
significant
influence
micro-shell.
remarkable
result
consideration
leads
expand
stable
area
improve
dynamic
behaviors
system.
