Waves in Random and Complex Media,
Год журнала:
2023,
Номер
unknown, С. 1 - 28
Опубликована: Фев. 6, 2023
AbstractThe
deep
neural
networks
(DNNs)
technique
is
one
of
the
best
computational
methods
with
low
error.
However,
due
to
their
superior
performance,
such
as
reducing
cost
complexity,
this
kind
machine
learning
has
attracted
much
attention.
Therefore,
in
present
paper,
for
first
time,
wave-dispersion
results
an
inhomogeneous
system
are
compared
outcomes
DNN
techniques
obtaining
exact
mean
squared
error
(MSE)
parameter
future
research.
In
mathematical
modeling
section
report,
improved
three-dimension
higher-order
theory
(3D-HSDT)
considering
effect
thickness
stretching
governing
equations
multi-phase
hybrid
nanocomposites
reinforced
rectangular
microplate
been
presented.
Phase-velocity
current
micro
structure
obtained
by
employing
modified
couple
stress
(3D-MCST).
This
non-classical
model
capable
capturing
small-size
impact
on
behavior
plates.
Also,
aid
COMSOL
multiphysics
finite
element
simulation,
verified,
and
new
improving
stability
presented
studied.
Finally,
show
that
software
can
be
verified
specific
MSE
parameter.KEYWORDS:
simulationDNN3D-MCSTmulti-phase
reinforcementwave
propagation
Disclosure
statementNo
potential
conflict
interest
was
reported
author(s).
Physica Scripta,
Год журнала:
2024,
Номер
99(7), С. 075962 - 075962
Опубликована: Июнь 6, 2024
Abstract
A
refined
nonlocal
zigzag
model
for
thermal
buckling
analysis
of
nano
composite
laminated
and
sandwich
beams
is
proposed
in
this
study
based
on
a
theory
Eringen’s
theory.
Firstly,
present
satisfies
the
stress-free
continuity
conditions
priori
by
introducing
piecewise-linear
functions
preprocessing,
such
that
transverse
shear
correction
factors
are
not
needed.
In
accurate
continuous
stresses
obtained
with
aid
general
mixed
variational
principle,
which
can
be
solved
simultaneously
other
governing
equations.
This
quite
different
from
previous
post-processing.
Subsequently,
problems
analytically
simply
supported
boundary
conditions.
The
degenerated
results
without
small
effect
indicate
non-dimensional
critical
loads
temperatures
have
good
agreement
3D
elasticity
solutions
results,
demonstrate
accuracy
reliability
model.
Moreover,
it
observed
effectively
captured
differential
constitutive
law
(EDCL),
shows
decreases
temperature
weakening
stiffness
beam.
Finally,
effects
expansion
coefficients,
laminations,
geometric
sizes
beam
theories
discussed.
show
robust
arbitrary
layouts
both
structures,
may
some
referential
significance
to
Micro-Electro-Mechanical
Systems
(MEMS)
sensors
actuators.
Waves in Random and Complex Media,
Год журнала:
2023,
Номер
unknown, С. 1 - 28
Опубликована: Фев. 6, 2023
AbstractThe
deep
neural
networks
(DNNs)
technique
is
one
of
the
best
computational
methods
with
low
error.
However,
due
to
their
superior
performance,
such
as
reducing
cost
complexity,
this
kind
machine
learning
has
attracted
much
attention.
Therefore,
in
present
paper,
for
first
time,
wave-dispersion
results
an
inhomogeneous
system
are
compared
outcomes
DNN
techniques
obtaining
exact
mean
squared
error
(MSE)
parameter
future
research.
In
mathematical
modeling
section
report,
improved
three-dimension
higher-order
theory
(3D-HSDT)
considering
effect
thickness
stretching
governing
equations
multi-phase
hybrid
nanocomposites
reinforced
rectangular
microplate
been
presented.
Phase-velocity
current
micro
structure
obtained
by
employing
modified
couple
stress
(3D-MCST).
This
non-classical
model
capable
capturing
small-size
impact
on
behavior
plates.
Also,
aid
COMSOL
multiphysics
finite
element
simulation,
verified,
and
new
improving
stability
presented
studied.
Finally,
show
that
software
can
be
verified
specific
MSE
parameter.KEYWORDS:
simulationDNN3D-MCSTmulti-phase
reinforcementwave
propagation
Disclosure
statementNo
potential
conflict
interest
was
reported
author(s).
