Mechanics of Advanced Materials and Structures,
Journal Year:
2022,
Volume and Issue:
30(10), P. 1931 - 1942
Published: March 17, 2022
In
order
to
introduce
a
novel
way
relied
on
enhancing
structural
design
as
well
utilizing
advanced
material
for
protecting
nonmetallic
structures
from
detrimental
impacts
of
transient
thermal
shock,
this
research
analyzes
the
coupled
thermo-elasticity
response
sandwich
cylindrical
panel
with
nanocomposite
face-sheets
strengthened
functionally
graded
distributions
graphene-platelets
affected
by
shock
loading.
To
determine
performance
simply-supported
system
in
content
time-altering
stresses
and
deflections,
analytical
solving
approach,
according
broadly-known
Navier
technique,
is
applied
governing
equations
developed
bases
exact
theory
elasticity.
It
considered
that
internal
surface
thermally
isolated,
while
outer
shock.
The
energy
balance
relation
specified
boundary
condition
solved
acquire
temperature
gradient.
Inverting
Laplace
transform
would
be
done
aid
Dubner
Abates'
technique
designate
time-history
displacements,
shear
stresses,
distribution.
Halpin-Tsai
micromechanics
adjusted
nanocomposites
utilized
calculate
thermoelastic
properties
face-sheets.
obtained
numerical
outcomes
revealed
growth
geometrical
factor
called
mid-radius
thickness
ratio
leads
higher
ultimate
lower
transverse
stress.
Mechanics of Advanced Materials and Structures,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 20
Published: Dec. 3, 2023
In
this
work,
for
the
first
time,
bending
information
of
doubly
curved
panel
under
thermo-mechanical
shock
loading
(MSL)
with
respect
to
geometrical
and
physical
parameters
via
both
numerically,
machine-leaning-based
algorithms
is
presented.
The
graphene
nanoplatelets
composites
are
used
reinforce
current
composite
along
latitudinal
direction.
It
should
be
note
that
reinforced
in
direction
GPLs
due
thermo-MSL
material
properties
structure
obtained
aid
role
mixture
Halpin–Tsai
micromechanics
model.
As
well
as
this,
GPL
distribution's
thermal
conductivity
each
pattern
considered
high
accuracy
work's
Three-dimension
(3D)
elasticity
theory,
linear
thermo-elasticity
principle,
constitutive
heat
conduction
equation,
relaxation
time
equation
present
mathematical
modeling
work.
After
obtaining
governing
equations,
equations
solved
numerical
solution
using
Chebyshev–Gauss–Lobatto
function,
spatial
Laplace
methods.
Deep
neural
networks
(DNNs)
a
machine
learning
method
train
test
results
from
modeling.
predicting
results,
compared
outcomes
show
low
computational
cost
DNNs
algorithm,
can
predicted
instead
other
Finally,
some
suggestions
improving
behavior
external
loading.
Mechanics of Advanced Materials and Structures,
Journal Year:
2022,
Volume and Issue:
30(10), P. 1931 - 1942
Published: March 17, 2022
In
order
to
introduce
a
novel
way
relied
on
enhancing
structural
design
as
well
utilizing
advanced
material
for
protecting
nonmetallic
structures
from
detrimental
impacts
of
transient
thermal
shock,
this
research
analyzes
the
coupled
thermo-elasticity
response
sandwich
cylindrical
panel
with
nanocomposite
face-sheets
strengthened
functionally
graded
distributions
graphene-platelets
affected
by
shock
loading.
To
determine
performance
simply-supported
system
in
content
time-altering
stresses
and
deflections,
analytical
solving
approach,
according
broadly-known
Navier
technique,
is
applied
governing
equations
developed
bases
exact
theory
elasticity.
It
considered
that
internal
surface
thermally
isolated,
while
outer
shock.
The
energy
balance
relation
specified
boundary
condition
solved
acquire
temperature
gradient.
Inverting
Laplace
transform
would
be
done
aid
Dubner
Abates'
technique
designate
time-history
displacements,
shear
stresses,
distribution.
Halpin-Tsai
micromechanics
adjusted
nanocomposites
utilized
calculate
thermoelastic
properties
face-sheets.
obtained
numerical
outcomes
revealed
growth
geometrical
factor
called
mid-radius
thickness
ratio
leads
higher
ultimate
lower
transverse
stress.
