Mechanics of Advanced Materials and Structures,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 19
Published: Dec. 18, 2024
This
study
investigates
the
stability/instability
analysis
of
advanced
nanocomposite-reinforced
bridge
asphalt
mixtures
under
low-temperature
conditions,
incorporating
a
fractional
viscoelastic
plate
model
for
more
accurate
simulation
time-dependent
material
behavior.
The
nanoclay
reinforcement
is
introduced
into
matrix
to
enhance
its
mechanical
properties,
particularly
improving
stiffness
and
thermal
stability,
which
are
critical
long-term
performance
structures.
formulation
captures
complex
behavior
reinforced
at
low
temperatures,
where
traditional
models
may
fall
short
in
accounting
intricate
response
material.
conducted
assess
nanocomposite
varying
temperature
conditions.
identifies
conditions
leading
structural
instability,
ensuring
durability
decks
exposed
severe
environments.
results
validated
using
an
AI-driven
approach,
leveraging
machine
learning
algorithms
effectively.
AI
trained
experimental
data
computational
simulations,
with
hyperparameters,
such
as
rates,
neural
network
architectures,
optimization
techniques
carefully
selected
optimize
prediction
accuracy.
findings
offer
valuable
insights
nanoclay-reinforced
applications,
verification
enhancing
reliability
applicability
proposed
practical
engineering
scenarios.
Mechanics of Advanced Materials and Structures,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Aug. 4, 2024
Bending
responses
of
a
nanocomposite-reinforced
cylindrical
panel
are
studied
in
this
article.
A
shell
is
assumed
micro
scale
and
sandwiched
by
piezoelectric
layers.
In
article,
micro-size
dependent
theory
named
as
the
modified
couple
stress
(MCST)
analytically
employed
kinematic
relations
extended
through
employing
shear
deformable
model
order
to
investigate
electroelastic
bending
three-layered
micro-shell
bonded
between
smart
layers
subjected
an
applied
voltage,
external
internal
pressures.
The
rested
on
two
parametrically
elastic
foundation.
develop
constitutive
relations,
mixture's
rule
well
Halpin-Tsai
utilized
compute
governing
equations.
Electroelastostatic
obtained
trigonometric
functions.
large
parametric
analysis
presented
explore
deflection
with
change
thickness
layer
radius,
length
radius
ratio,
different
characteristics
nanoplatelet
reinforcement
for
both
pressure.
proposed
composite
electromechanical
structure
may
be
used
structures
systems.
controllable
system
can
suggested
usage
graphene
nanoplatelets
because
flexibility
affecting
parameters.
Mechanics of Advanced Materials and Structures,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 18
Published: Oct. 5, 2023
The
crashworthiness
behavior
of
horsetail-inspired
sandwich
tubes
was
analyzed
in
this
study.
Multilayer
perceptron
(MLP)
algorithms
with
the
Levenberg-Marquardt
training
algorithm
(LMA)
were
used
to
predict
force-displacement
curve
and
optimize
geometrical
parameters
according
minimum
peak
crushing
force
specific
energy
absorption.
Based
on
non-dominated
sorting
genetic
II
(NSGA-II)
optimization
results,
specimen
four
core
a
thickness
1
mm,
height
92
mm
has
optimal
performance.
Finally,
is
fabricated
results
numerical
MLP
methods
are
validated
versus
experimental
approach.
Mechanics of Advanced Materials and Structures,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 18
Published: Oct. 15, 2024
This
paper
presents
a
novel
approach
integrating
artificial
intelligence
(AI)
optimization
and
mathematical
simulation
to
predict
the
resonance
frequency
of
nanoclay-reinforced
concrete
cylindrical
shell
structures
intended
for
bridge
applications.
These
composite
structures,
known
their
enhanced
mechanical
properties,
require
precise
evaluation
vibrational
behavior
ensure
structural
stability
longevity.
Traditional
methods
predicting
frequencies
are
often
time-consuming
prone
inaccuracies,
especially
in
complex
materials
like
nanoclay
composites.
To
address
this,
an
AI-based
algorithm
was
developed,
incorporating
Particle
Swarm
Optimization
(PSO)
modeling
simulate
characteristics
under
varying
material
geometric
parameters.
The
is
validated
using
nondestructive
testing
(NDT)
techniques,
such
as
modal
analysis,
which
provided
real-world
data
without
damaging
structure.
results
compared
against
model
accuracy
reliability.
integration
into
matrix
significantly
altered
enhancing
stiffness
reducing
damping
losses,
crucial
applications
where
dynamic
loads
prevalent.
optimized
not
only
predicted
with
high
but
also
demonstrated
its
potential
large-scale
infrastructure.
methodology
offers
streamlined
robust
tool
engineers,
need
physical
prototyping
providing
design
capabilities.
Future
research
will
focus
on
expanding
incorporate
additional
behaviors
load
conditions,
furthering
application
civil
engineering.
