OALib,
Journal Year:
2023,
Volume and Issue:
10(10), P. 1 - 8
Published: Jan. 1, 2023
This
study
investigates
the
variations
in
shear
strength
parameters
of
red
clay
under
different
content
and
pH
levels
through
direct
tests.It
analyzes
effects
normal
stress,
content,
on
strength,
cohesion,
internal
friction
angle.The
research
reveals
that
with
an
increase
soil
gradually
increases
same
conditions.Under
as
level
becomes
more
acidic
or
alkaline,
decreases.Higher
results
greater
conditions.As
angle
cohesion
decrease
content.Compared
to
its
effect
has
a
pronounced
impact
angle.
Measurement,
Journal Year:
2024,
Volume and Issue:
226, P. 114149 - 114149
Published: Jan. 6, 2024
Health
and
safety
are
relevant
in
transportation
infrastructures.
Most
health
evaluations
performed
by
spot
measurements
using
conventional
transducers.
This
study
aims
to
explore
a
self-sensing
composite
that
can
be
integrated
into
structural
layer
of
pavement
or
rail
track
continuously
evaluate
the
full
performance
critical
zones
anticipate
damage
occurrence.
For
this
purpose,
10
%
cement-stabilized
standard
sand
used
layers
was
transformed
synergistic
incorporation
3
4
multiwalled
carbon
nanotubes
(MWCNTs)
graphene
nanoplatelets
(GNPs).
In
addition,
Pluronic
F-127
tributyl
phosphate
97
(TBP)
were
for
better
dispersion
nanomaterials
mixture,
these
materials
compacted
at
maximum
density
optimum
moisture
conditions.
Through
detailed
laboratory
investigation,
including
piezoresistivity
measurements,
digital
image
correlation
(DIC),
microstructure
analysis
through
scanning
electron
microscopy
(SEM),
it
possible
propose
novel
method
detect
propagation
under
monotonic
loading
based
on
changing
slope
normalized
electrical
resistance
against
time.
supported
theoretical
background
able
explain
emergence
result
increasing
hence
fractional
changes
(FCR).
Materials,
Journal Year:
2024,
Volume and Issue:
17(3), P. 621 - 621
Published: Jan. 27, 2024
Premature
failure
and
degradation
of
layers
are
the
main
problems
for
transportation
infrastructure.
Addressing
these
issues
necessitates
implementing
structural
health
monitoring
(SHM)
pavement
construction
layers.
To
this
end,
research
investigated
stress/strain
damage
detection
capabilities
a
self-sensing
cementitious
composite
developed
potential
utilization
in
an
intelligent
subgrade
layer.
The
prepared
consisted
10%
cement
hybrid
conductive
fillers,
including
multiwalled
carbon
nanotubes
(MWCNTs)
graphene
nanoplatelets
(GNPs)
sand.
Initial
findings
reveal
that
electrical
resistivity
is
significantly
affected
by
concentration
MWCNTs/GNPs,
with
minimum
more
than
0.5%
needed
to
achieve
responsive
composite.
Moreover,
piezoresistive
analysis
indicates
increase
MWCNTs/GNPs
stress
levels
leads
improvement
stress/strain-sensing
performance.
When
subjected
equivalent
levels,
variations
fractional
changes
(FCR)
exhibit
increasing
trend
decreasing
resilient
modulus,
stemming
from
decrease
stiffness
due
increased
MWCNTs/GNPs.
Additionally,
electrochemical
impedance
spectroscopy
(EIS)
demonstrates
contraction
Nyquist
plots
under
compressive
ramp
loading
prior
failure,
followed
expansion
curves
post-failure.
Scanning
electron
microscopy
(SEM)
images
visually
showcase
bridging
effects
MWCNTs
filling
GNPs
within
structure.
Transportation Geotechnics,
Journal Year:
2024,
Volume and Issue:
46, P. 101260 - 101260
Published: April 26, 2024
A
self-sensing
cementitious
geocomposite
was
developed
based
on
laboratory
data,
and
it
demonstrated
good
physical
mechanical
properties,
durability,
piezoresistivity
performance.
It
consisted
of
stabilized
cemented
sand
containing
multiwalled
carbon
nanotubes
(MWCNTs)
with
graphene
nanoplatelets
(GNPs)
as
conductive
fillers.
This
could
be
used
to
detect
damage
the
relationship
between
electrical
impedance
performance,
making
suitable
for
use
structural
layers
in
railway
lines.
In
this
study,
effects
MWCNTs
GNPs,
well
degree
saturation,
were
evaluated
compaction,
secant
modulus,
resilient
resistance,
geocomposite.
Scanning
electron
microscopy
(SEM)
microscopic
imaging
analyse
microstructural
alterations
induced
by
varying
concentrations
GNPs.
innovative
geocomposite,
intended
installation
Portuguese
lines
part
EU
project
IN2TRACK3,
is
aimed
at
capturing
performance
identifying
levels,
estimating
load
intensity,
axle
numbers,
train
speed.
The
feasibility
its
discussed
literature
studies
research
conducted
under
IN2TRACK2
IN2TRACK3
projects,
potential
advantages
over
traditional
methods
monitoring
rail
track
health
are
highlighted.
