Comparative Performance Evaluation of Quartz and Snail Shell Powders Modified Concrete: Mechanical, Machine Learning, and Microstructural Assessments
Journal of Materials Research and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Язык: Английский
Evaluating mechanical and environmental impacts of sustainable natural fiber reinforced recycled aggregate concrete incorporating supervised machine learning methods
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Май 9, 2025
Abstract
Construction
industry
is
increasingly
focusing
on
sustainable
decarbonized
concrete
using
alternative
materials.
One
promising
innovation
natural
fiber
recycled
aggregate
(NFRAC),
which
combines
aggregates
with
fibers
to
enhance
performance
and
reduce
the
carbon
footprint
from
quarrying
production.
This
study
analyzes
534
data
points
existing
literature
predict
compressive
strength
of
NFRAC
made
jute,
sisal,
kenaf,
ramie,
coir,
bamboo,
across
varying
water-cement
ratios
curing
ages.
Five
machine
learning
models:
eXtreme
Gradient
Boosting
(XGB),
Random
Forest
(RF),
Light
Machine
(LGBM),
Multilayer
Perceptron
(MLP),
Categorical
(CAT),
were
employed
strength,
hyperparameters
optimized
Particle
Swarm
Optimization
(PSO).
SHapley
Additive
exPlanations
(SHAP)
partial
dependency
plots
(PDP)
assessed
impact
key
factors,
showing
that
water-binder
ratio
significantly
affects
strength.
The
XGB
model
achieved
best
results
an
RMSE
4.2
MPa
R²
0.94.
Life
cycle
analysis
indicated
25%
(RCA)
reduces
embodied
CO₂
emissions
by
2.7%;
50%
RCA
replacement,
reduction
reaches
5.4%.
A
cost-benefit
revealed
offers
significant
economic
advantages
over
traditional
concrete,
particularly
at
higher
replacement
rates.
validated
models
established
a
user-friendly
web
interface
for
predicting
integration
advanced
learning,
analysis,
evaluation
highlights
potential
adopting
in
construction,
effectively
mitigating
environmental
impact.
Язык: Английский
Combined Influence of Crushed Brick Powder and Recycled Concrete Aggregate on the Mechanical, Durability and Microstructural Properties of Eco-Concrete: An Experimental and Machine Learning-Based Evaluation
Journal of Materials Research and Technology,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Язык: Английский