Materials Research Express,
Год журнала:
2024,
Номер
11(8), С. 085305 - 085305
Опубликована: Июль 26, 2024
Abstract
Metakaolin
has
been
incorporated
into
high-performance
fiber-reinforced
concrete
for
wellbore
wall
drilling
to
enhance
its
durability
in
strata
with
highly
mineralized
water.
This
study
established
a
benchmark,
utilizing
fly
ash,
slag
powder,
and
metakaolin
as
the
factors
an
orthogonal
test
assess
of
against
sulfate
attack.
The
range
analysis
integrated
balance
method
were
employed
optimize
mix
proportion,
optimized
proportion
was
determined
concrete:
cement:
ash:
powder:
metakaolin:
pumping
agents:
gravel:
sand:
water:
polyvinyl
alcohol
=
1:
0.2:
0.075:
0.05:
0.106:
2.767:
1.556:
0.371:
0.003.
apparent
microscopic
morphologies
before
after
erosion
both
benchmark
group
investigated.
triaxial
permeability
tests
conducted
on
these
groups
under
varying
confining
pressures
elucidate
trends.
Additionally,
damage
constitutive
model
attack
formulated
based
tests.
could
provide
valuable
insights
industrial
utilization
deep
shafts
within
water
Northwestern
China.
Structures,
Год журнала:
2024,
Номер
67, С. 107019 - 107019
Опубликована: Авг. 6, 2024
Extensive
research
has
focused
on
producing
sustainable
concrete
by
exploring
waste
and
recycled
materials
as
alternatives
to
virgin
substances.
However,
waste-based
concretes
often
exhibit
inferior
durability
mechanical
performance
compared
traditional
concrete.
Incorporating
reinforcement
agents
can
enhance
their
performance.
This
study
investigates
the
use
of
sugarcane
fiber
a
in
containing
fly
ash
(FA),
ground
granulated
blast
furnace
slag
(GGBS),
fine
coarse
aggregates
(RFA
RCA).
Five
dosages
fibers
(0
%,
1
2
3
4
%
mass)
were
examined.
Mechanical
tests,
including
compressive
strength,
flexural
water
absorption,
chloride
ion
penetration,
conducted.
Scanning
electron
microscopy
micro-porosity
analysis
employed
for
further
assessment.
Results
show
that
adding
enhances
properties,
with
being
optimal
dosage.
dosage
improves
strength
16
35
load
bearing
capacity
34
energy
absorption
107
toughness
index
6
while
reducing
penetration
23
%.
Further
increases
decrease
properties.
The
enhanced
behavior
is
attributed
reduced
porosity,
refined
pore
structure,
microcrack
propagation.
underscores
potential
incorporating
along
develop
eco-friendly
composites,
aiming
mitigate
carbon
dioxide
emissions
address
environmental
concerns.
Cleaner Materials,
Год журнала:
2024,
Номер
13, С. 100258 - 100258
Опубликована: Июнь 27, 2024
Geopolymer
concrete
emerges
as
a
sustainable
and
durable
alternative
to
conventional
concrete,
addressing
its
high
carbon
footprint
enhanced
durability.
The
distinct
properties
of
geopolymer
governed
by
supplementary
cementitious
materials
alkaline
activators,
promise
reduced
environmental
impact
improved
structural
resilience.
However,
complex
composition
complicates
the
prediction
mechanical
such
elastic
modulus,
crucial
for
applications.
This
study
introduces
an
innovative
approach
using
eXtreme
Gradient
Boosting
(XGBoost)
technique
integrated
with
multi-objective
grey
wolf
optimizer
model
modulus
concrete.
By
dynamically
selecting
influential
features
optimizing
accuracy,
this
methodology
advances
beyond
traditional
empirical
models,
which
fail
capture
nonlinear
interactions
intrinsic
Utilizing
comprehensive
database
gathered
from
extensive
literature,
22
potential
variables
were
examined
that
influence
concrete's
modulus.
After
mitigating
multicollinearity
hyperparameters
via
Bayesian
optimization,
six
XGBoost
models
developed
different
combinations
input
variables,
revealing
compressive
strength
total
water
content
pivotal
predictors.
findings
illustrate
models'
precision,
trade-off
between
accuracy
simplicity
visualized
through
relationship
number
error.
culminates
in
user-friendly
graphical
user
interface
enables
easy
fosters
educational
engagement.
interface,
available
online,
underscores
practicality
accessibility
advanced
machine
learning
predictions.
Overall,
research
not
only
provides
robust
predictive
framework
optimized
but
also
enhances
understanding
underlying
determinants,
contributing
advancement
construction
materials.
