Sustainability,
Год журнала:
2024,
Номер
16(18), С. 8172 - 8172
Опубликована: Сен. 19, 2024
Solar
photovoltaic
(PV)
panels
that
use
polycrystalline
silicon
cells
are
a
promising
technique
for
producing
renewable
energy,
although
research
on
the
cells’
efficiency
and
thermal
control
is
still
ongoing.
This
experimental
aims
to
investigate
novel
way
improve
power
output
performance
by
combining
solar
PV
with
burned
fly-ash
tiles.
Made
from
burning
industrial
waste,
torched
fly
ash
has
special
qualities
make
it
useful
architectural
applications.
These
include
better
insulation,
strengthened
structural
integrity,
high
energy
efficiency.
Our
test
setup
shows
when
combined
tiles,
generation
rises
7%
surface
temperature
decreases
3%
compared
standard
panels.
The
enhanced
ascribed
outstanding
insulation
properties
of
tiles
their
capacity
panel
temperature.
To
ensure
longevity
safety
in
building
applications,
employed
this
study
had
water
absorption
rate
5.37%,
flexural
strength
2.95
N/mm2,
slip
resistance
at
38
km/h.
Furthermore,
we
find
improved
resilience
lower
cooling
costs
up
30%
sand
floor
replaced
ash,
which
makes
method
especially
appropriate
sustainable
buildings.
Key
indicators
show
how
effective
these
maximizing
buildings
emissivity
(0.874),
reflectance
(0.8),
(0.256).
While
supporting
more
ecofriendly
techniques,
highlights
advantages
utilizing
systems:
comfort.
main
results
open
greater
potential
different
materials.
materials
enhances
integrity
while
lowering
costs,
making
an
ideal
choice
eco-friendly
construction
highlighting
further
into
environmentally
responsible,
energy-efficient
solutions.
Processes,
Год журнала:
2024,
Номер
12(8), С. 1602 - 1602
Опубликована: Июль 30, 2024
Driven
by
the
insatiable
demand
for
construction
materials,
excessive
quarrying
natural
aggregates
and
raw
materials
cement
production
pose
significant
environmental
challenges,
including
habitat
loss
resource
depletion.
To
address
these
concerns,
this
study
investigates
use
of
fibre-reinforced
self-compacting
concrete
(FR-SCC)
with
high-volume
fly
ash
(HVFA)
varying
levels
recycled
(RCA)
as
substitutes
fine
coarse
aggregates.
This
approach
aims
to
simultaneously
concerns
reducing
reliance
on
virgin
resources
utilizing
enhancing
performance
through
combined
benefits
fibre
reinforcement.
In
study,
Self-Compacting
Concrete
(SCC)
mixes
were
created
50%
replaced
conventional
content,
which
was
taken
from
previous
literature.
Fine
aggregate
utilized
in
investigation
processed
at
0%
100%
an
interval
25%,
offering
a
promising
solution
alleviate
burden
associated
while
contributing
sustainable
practices.
Additionally,
replacement
synthetic
polypropylene
fibres
(PF)
added
into
matrix
up
1%
0.25%.
research
contributes
development
practices
promoting
efficiency
minimizing
impact.
The
found
that
SCC
maintained
self-compactability,
improving
workability
cohesion.
With
combination
highest
strength
value
55.31
MPa
observed
promotes
Crystals,
Год журнала:
2024,
Номер
14(8), С. 707 - 707
Опубликована: Авг. 5, 2024
The
aim
of
this
study
is
twofold.
First,
to
assess
the
effect
sonication
process
on
optimal
dispersion
GO
sheets
for
nanostructural
reinforcement
cement
pastes,
as
there
currently
no
clear
criterion
in
literature.
For
purpose,
first
stage,
content
distilled
water
was
fixed
at
0.03%
by
weight,
and
were
dispersed
using
different
levels
ultrasonic
energy,
ranging
from
0
J/mL
2582
J/mL.
In
second
analyze
modification
pore
structure
due
addition
ratios
(0–0.06%
weight)
its
relationship
with
mechanical
fracture
properties
reinforced
pastes.
According
results,
it
has
been
determined
that
incorporation
into
matrix
alters
behavior,
varying
depending
size
particle
size.
leads
a
reduction
average
macropores
(greater
than
8
µm)
13%
dosage
0.45%
weight
micropores
(between
0.5
64%
same
composition
non-sonicated
GO,
although
total
volume
pores
these
ranges
only
decreased
slightly.
This
more
pronounced
when
not
sonicated
larger
Sonicated
primarily
modifies
range
capillary
(<0.5
µm).
highest
degree
(465
nm)
did
show
significant
improvements
compressive
strength
or
Young’s
modulus,
used
contains
are
substantially
reduced
any
composition.
Adding
0.030%
ultrasonicated
achieved
7.8%
increase
while
an
0.045%
resulted
13.3%
decrease
characteristic
length,
micropores.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 24, 2025
Engineering
and
research
challenges
include
exhausting
traditional
construction
resources
disposing
of
garbage.
In
order
to
solve
these
issues,
industrial
or
agricultural
waste
is
being
extensively
studied
as
a
material
alternative.
Primary
wastes
in
our
country
are
Fly
Ash
(FA)
Coconut
Shell
(CS).
They
can
cause
major
disposal
concerns
if
mismanaged.
This
study
feasibility
on
employing
FA
(an
waste)
binder
coconut
shell
coarse
aggregates.
The
composite
obtained
by
incorporating
materials
reinforced
with
hybrid
fibres
enhance
its
mechanical
performance.
work
undertaken
comprises
four
distinct
phases,
the
first
phase
evaluates
reference
mix
conventional
materials.
utilized
SCM
concrete
second
phase.
third
phase,
Aggregate
(CSA)
used
partially
replace
Natural
Coarse
(NCA).
final
different
proportions
polypropylene
steel
included
Concrete
(CSAC).
findings
demonstrate
that
replacing
up
20%
cement
enhances
compressive,
split
tensile
flexural
strengths
8.1%,
5.9%,
7.8%,
respectively.
use
CSA,
while
slightly
reducing
strength
parameters
compared
NCA.
incorporation
1%
fibers
(SF)
significantly
enhanced
properties
CSA-based
concrete,
achieving
increases
11.9%,
33.0%,
30.7%
tensile,
strengths,
Adding
0.2%
(PPF)
SF
further
amplified
3.5%,
13.5%,
15.6%,
respectively
decrease
brittleness
improve
post-peak
toughness.
Advanced
statistical
method
response
surface
artificial
neural
network
(ANN)
modeling
using
MATLAB
proved
highly
effective
for
predicting
compressive
strength,
ANN
showing
superior
accuracy
method.
results
indicate
fibre
aggregate
(HFRCSAC)
mixture
has
significant
potential
civil
engineering
applications.
REVIEWS ON ADVANCED MATERIALS SCIENCE,
Год журнала:
2025,
Номер
64(1)
Опубликована: Янв. 1, 2025
Abstract
Two-stage
concrete
(TSC)
is
a
sustainable
material
produced
by
incorporating
coarse
aggregates
into
formwork
and
filling
the
voids
with
specially
formulated
grout
mix.
The
significance
of
this
study
to
improve
predictive
accuracy
TSC’s
tensile
strength,
which
essential
for
optimizing
its
use
in
construction
applications.
To
achieve
objective,
novel
reliable
models
were
developed
using
advanced
machine
learning
algorithms,
including
random
forest
(RF)
gene
expression
programming
(GEP).
performance
these
was
evaluated
important
evaluation
metrics,
coefficient
determination
(
R
2
),
mean
absolute
error
(MAE),
squared
error,
root
square
(RMSE),
after
they
trained
on
comprehensive
dataset.
results
suggest
that
RF
model
outperforms
GEP
model,
as
evidenced
higher
value
0.94
relative
0.91
reduced
MAE
RMSE
values.
This
suggests
has
superior
capability.
Additionally,
sensitivity
analyses
SHapley
Additive
ExPlanation
analysis
revealed
water-to-binder
(W/B)
ratio
most
influential
input
parameter,
accounting
51.01%
outcomes
presented
model.
research
emphasizes
TSC
design,
enhancing
performance,
promoting
sustainable,
cost-effective
construction.
