Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology
G. Uday Kiran,
G. Nakkeeran,
Dipankar Roy
и другие.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Окт. 8, 2024
The
ceramic
industry
produces
a
significant
volume
of
waste
(CW),
representing
around
20-30%
its
the
entire
output.
mostly
comes
from
challenges
noticed
in
manufacturing
process,
overproduction,
and
damage
to
products.
Considering
substantial
worldwide
production
ceramics,
it
is
crucial
efficiently
handle
recycle
this
promote
sustainability
efforts.
This
study
explores
conversion
into
fine
aggregates
suitable
for
paver
blocks.
Currently,
variety
assessments
are
being
conducted
determine
effectiveness
these
enhanced
evaluations
involve
aspects
like
compressive
strength,
water
absorption
(WA),
dry
density,
flow
table
measurements,
ultrasonic
pulse
velocity
(UPV),
rebound
hammer
tests.
results
indicate
that
replacing
natural
with
up
30%
CW
significantly
improves
strength
(CS)
Rebound
provides
useful
information
optimising
content
blocks,
contributing
development
sustainable
economical
construction
materials.
Furthermore,
focusses
on
minimising
landfill
preserving
resources.
Язык: Английский
Enhancing plastic pyrolysis for carbon nanotubes synthesis through machine learning integration: A review
Journal of Analytical and Applied Pyrolysis,
Год журнала:
2025,
Номер
unknown, С. 106989 - 106989
Опубликована: Янв. 1, 2025
Язык: Английский
AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction
Case Studies in Construction Materials,
Год журнала:
2025,
Номер
unknown, С. e04405 - e04405
Опубликована: Фев. 1, 2025
Язык: Английский
Optimized decision tree algorithms to estimate ultimate strain of concrete wrapped by aramid fiber-reinforced polymer
Multiscale and Multidisciplinary Modeling Experiments and Design,
Год журнала:
2025,
Номер
8(4)
Опубликована: Март 1, 2025
Язык: Английский
Data-driven evolutionary programming for evaluating the mechanical properties of concrete containing plastic waste.
Case Studies in Construction Materials,
Год журнала:
2024,
Номер
unknown, С. e03763 - e03763
Опубликована: Сен. 1, 2024
Язык: Английский
Sensitivity Analysis of Compressive Strength in CNT-Reinforced Composites: A Comparative Study of Sample-Based, Linearization, and Global Methods
Arabian Journal for Science and Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 18, 2024
Язык: Английский
Efficacy of sustainable cementitious materials on concrete porosity for enhancing the durability of building materials
REVIEWS ON ADVANCED MATERIALS SCIENCE,
Год журнала:
2024,
Номер
63(1)
Опубликована: Янв. 1, 2024
Abstract
The
degradation
of
concrete
structures
is
significantly
influenced
by
water
penetration
since
serves
as
the
primary
vehicle
for
movement
harmful
compounds.
process
capillary
absorption
widely
recognized
a
crucial
indicator
durability
unsaturated
concrete,
it
allows
dangerous
substances
to
enter
composite
material.
capacity
intricately
linked
its
pore
structure,
inherently
porous.
main
goal
this
work
create
an
innovative
predictive
tool
that
assesses
porosity
analyzing
components
using
machine-learning
(ML)
framework.
Seven
distinct
batch
design
variables
were
included
in
generated
database:
fly
ash,
superplasticizer,
water-to-binder
ratio,
curing
time,
ground
granulated
blast
furnace
slag,
binder,
and
coarse-to-fine
aggregate
ratio.
Four
distant
ML
algorithms,
including
AdaBoost,
linear
regression
(LR),
decision
tree
(DT),
support
vector
machine
(SVM),
are
utilized
infer
generalization
capabilities
algorithms
estimate
accurately.
RReliefF
algorithm
was
implemented
calculate
significant
features
influencing
porosity.
This
study
concludes
comparison
alternative
techniques,
AdaBoost
method
demonstrated
superior
performance
with
R
2
score
0.914,
followed
SVM
(0.870),
DT
(0.838),
LR
(0.763).
results
evaluation
indicated
binder
possesses
remarkable
influence
on
concrete.
Язык: Английский
Optimization of preparation parameters and testing verification of carbon nanotube suspensions used in concrete
Nanotechnology Reviews,
Год журнала:
2024,
Номер
13(1)
Опубликована: Янв. 1, 2024
Abstract
Carbon
nanotubes
(CNTs)
have
received
extensive
attention
due
to
their
exceptional
properties
and
wide
range
of
applications.
However,
the
agglomeration
CNTs
in
aqueous
solutions
organic
solvents
significantly
limits
large-scale
application.
In
this
study,
microscopic
morphology
dispersion
stability
CNT
suspensions
were
analyzed,
most
suitable
surfactant
study
was
selected.
The
preparation
parameters
optimized,
uniaxial
compression
tests
conducted
on
carbon
nanotube
concrete
(CNTC)
prepared
using
optimized
parameters.
Scanning
electron
microscope
analysis
used
investigate
improvement
microstructure
by
CNTs.
Transmission
micrographs
polyvinyl
pyrrolidone
(PVP)-CNT
exhibited
a
uniformly
distributed
cross-linked
network.
absorbance
reduction
ratio
PVP-CNT
after
standing
for
90
days
13.75
22.41%,
respectively.
first
increased
then
decreased
with
increasing
dispersant
ultrasonic
time
power
ratio.
Compared
that
plain
concrete,
compressive
strength
CNTC
improved,
maximum
increase
18.15%
when
content
0.10%,
failure
mode
typical
shear
characteristics.
PVP-to-multiwalled
mass
4:1,
an
20
min,
60%.
These
are
ideal
choices
preparing
cement-based
composite
suspensions.
Язык: Английский