Discover Sustainability,
Год журнала:
2024,
Номер
5(1)
Опубликована: Ноя. 20, 2024
Abstract
Increasing
of
plastic
waste
threatening
ecosystems
globally,
this
experimental
work
investigates
recycled
plastics
as
sustainable
aggregate
replacements
in
pervious
concrete.
Pervious
concrete
allows
water
passage
but
has
installation/maintenance
difficulty
due
to
high
weight.
This
research
addresses
the
lack
eco-friendly
lightweight
solutions
by
assessing
physical
and
mechanical
performance
mixes
with
100%
traditional
percentages.
Density
reduced
12%
using
a
mix,
achieving
1358
kg/m
3
compressive
strength
3.92
MPa,
adequate
for
non-structural
applications.
A
7.8%
decrease
absorption
versus
conventional
signifies
retained
porosity
permeability
despite
aggregates.
Though
early
material
limitations
increase
costs
over
199.32%,
show
viability
effective,
substitutes
natural
aggregates
With
further
availability
affordability
improvements,
these
recyclable
can
enable
significantly
greener
construction
practices.
Findings
provide
key
insights
on
balancing
structural
requirements,
eco-friendliness
infiltration
capacity
plastic-based
broader
adoption.
The
examines
durability
characteristics
Light-Weight
Concrete
(LWPC)
composed
entirely
aggregate.
It
also
economic
potential
urban
cost
assessment
reveals
long-term
environmental
advantages,
even
though
initial
expenses
are
higher.
Additionally,
study
considers
an
approach
that
combines
plant
growth
promote
greater
sustainability.
REVIEWS ON ADVANCED MATERIALS SCIENCE,
Год журнала:
2025,
Номер
64(1)
Опубликована: Янв. 1, 2025
Abstract
The
performance
and
durability
of
conventional
concrete
(CC)
are
significantly
influenced
by
its
weak
tensile
strength
strain
capacity
(TSC).
Thus,
the
intrusion
fibers
in
cementitious
matrix
forms
ductile
engineered
composites
(ECCs)
that
can
cater
to
this
area
CC.
Moreover,
ECCs
have
become
a
reasonable
substitute
for
brittle
plain
due
their
increased
flexibility,
ductility,
greater
TSC.
prediction
ECC
is
crucial
without
need
laborious
experimental
procedures.
achieve
this,
machine
learning
approaches
(MLAs),
namely
light
gradient
boosting
(LGB)
approach,
extreme
(XGB)
artificial
neural
network
(ANN),
k
-nearest
neighbor
(KNN),
were
developed.
data
gathered
from
literature
comprise
input
parameters
which
fiber
content,
length,
cement,
diameter,
water-to-binder
ratio,
fly
ash
(FA),
age,
sand,
superplasticizer,
TSC
as
output
utilized.
assessment
models
gauged
with
coefficient
determination
(
R
2
),
statistical
measures,
uncertainty
analysis.
In
addition,
an
analysis
feature
importance
carried
out
further
refinement
model.
result
demonstrates
ANN
XGB
perform
well
train
test
sets
>
0.96.
Statistical
measures
show
all
give
fewer
errors
higher
,
depict
robust
performance.
Validation
via
K
-fold
confirms
showing
correlation
determination.
reveals
FA
major
contribution
ECC.
graphical
user
interface
also
developed
help
users/researchers
will
facilitate
them
estimate
practical
applications.
GeoHazards,
Год журнала:
2024,
Номер
5(3), С. 917 - 931
Опубликована: Сен. 17, 2024
In
slopes
where
high
pore
water
pressure
exists,
deep
counterfort
drains
(also
called
drainage
trenches
or
trench
drains)
represent
one
of
the
most
effective
methods
for
improving
stability
mitigating
landslide
risks.
cases
very
slip
surfaces,
this
method
represents
only
possible
intervention.
Trench
can
be
realized
by
using
panels
secant
piles
filled
with
coarse
granular
material
permeable
concrete.
If
are
adequately
“socket”
into
stable
ground
(for
example
sufficiently
below
sliding
surface
a
critical
marginally
slopes)
and
filling
has
sufficient
shear
strength
stiffness,
like
porous
concrete,
there
is
further
increase
in
due
to
“shear
keys”
effect.
The
both
intrinsic
resistance
concrete
on
at
concrete–soil
interface
(on
lateral
trench).
latter
significant
relation
thickness
mass,
“socket
depth”,
spacing
between
trenches.
linked
keys
effect”
depends
state
interface.
For
silty–clayey
base
soils,
it
same
order
magnitude
as
permanent
reduction
(draining
effect).
This
paper
presents
results
an
experimental
investigation
fine-grained
soils
demonstrates
significance
effectiveness
