Single and synergistic effects of nano-SiO2 and hybrid fiber on rheological property and compressive strength of geopolymer concrete
Construction and Building Materials,
Год журнала:
2025,
Номер
472, С. 140945 - 140945
Опубликована: Март 26, 2025
Язык: Английский
A state-of-the-art review on frost resistance of fiber-reinforced geopolymer composites
Sustainable Chemistry and Pharmacy,
Год журнала:
2025,
Номер
45, С. 102006 - 102006
Опубликована: Март 29, 2025
Язык: Английский
CDW-Based Geopolymers: Pro and Cons of Using Unselected Waste
Polymers,
Год журнала:
2025,
Номер
17(5), С. 570 - 570
Опубликована: Фев. 21, 2025
Geopolymer
technology
is
considered
a
strategic
alternative
for
recycling
construction
and
demolition
waste
(CDW)
to
produce
new
products
which
meet
the
requirements
of
environmental
energy
sustainability.
The
separation
management
CDW
fractions
still
technological
complex
process
and,
even
if
large-scale
quite
common,
necessity
perform
this
treatment
may
reduce
economic
benefits
reuse.
So,
very
promising
option
represented
by
manufacturing
geopolymers
using
unseparated
CDW.
In
aim,
deriving
from
cement-based
mortars,
bricks
natural
stones
have
been
selected
widely
characterized
mineralogical,
chemical
morphological
point
view.
Then,
geopolymer
mortars
were
produced
several
amounts
either
single
fraction
or
mixture
waste.
chemical,
physical,
mechanical,
microstructural
characterization
geopolymer-produced
was
carried
out
assess
how
combination
different
quantities
mixed
affected
final
properties.
particular,
geopolymeric
unselected
showed
higher
mechanical
properties,
despite
lower
apparent
density,
when
compared
improvement
features
seems
be
not
amount
used,
providing
encouraging
findings
promote
actual
use
with
resulting
enhancement
benefits.
Язык: Английский
Enhanced mechanical and thermal performance of high-strength engineered geopolymer composites reinforced by hybrid polyethylene fibres and carbon nanotubes
Construction and Building Materials,
Год журнала:
2025,
Номер
472, С. 140884 - 140884
Опубликована: Март 19, 2025
Язык: Английский
Prediction of Rheological Properties of PVA Fiber and Nano-SiO2-Reinforced Geopolymer Mortar Based on Back Propagation Neural Network Model Optimized by Genetic Algorithm
Polymers,
Год журнала:
2025,
Номер
17(8), С. 1046 - 1046
Опубликована: Апрель 12, 2025
The
rheological
properties
of
mortar
are
vital
importance
to
ensure
the
quality
and
durability
engineering
structures,
improving
construction
efficiency
adapting
different
environments.
This
research
focused
on
examining
geopolymer
(GM)
with
incorporation
metakaolin
(MK),
nano-SiO2
(NS)
polyvinyl
alcohol
(PVA)
fibers.
varying
concentrations
PVA
fiber
ranging
from
0
1.2%
(interval
0.2%)
NS
2.5%
0.5%).
As
mix
proportion
optimization
GM
is
normally
carried
out
experimentally,
a
significant
amount
labor
material
resources
was
consumed.
Based
large
amounts
authentic
operation
data,
prediction
model
for
NS-
PVA-fiber-reinforced
developed
using
back
propagation
(BP)
neural
network.
Subsequently,
parameters
were
refined
genetic
algorithm
(GA)
predict
reinforced
dosages
fiber.
Three
parameters,
including
static
yield
stress,
plastic
viscosity
dynamic
used
evaluate
GM.
Moreover,
Root
Mean
Square
Error
(RMSE),
Absolute
Percentage
(MAPE)
(MAE)
applied
assess
capability
algorithms.
When
GA–BP
network
used,
compared
BP
network,
coefficient
determination
(R2)
viscosity,
stress
increased
by
4.40%,
2.11%
15.28%,
respectively,
provided
superior
fitting
effect,
higher
accuracy
faster
convergence.
outputs
model,
can
be
adopted
as
precise
method
forecast
Язык: Английский