Enhancing bending performance of cemented lithium feldspar tailings backfill with 3D printing polymer lattices: effects of unit shapes and materials
Case Studies in Construction Materials,
Год журнала:
2025,
Номер
unknown, С. e04463 - e04463
Опубликована: Март 1, 2025
Язык: Английский
Experimental Study on the Valorization of Rice Straw as Fiber for Concrete
Fibers,
Год журнала:
2025,
Номер
13(3), С. 28 - 28
Опубликована: Март 5, 2025
Rice
straw
is
an
agricultural
waste
that
difficult
to
manage
and
has
traditionally
been
burned
or
buried,
leading
environmental
problems.
Because
of
this,
the
introduction
rice
into
concrete
proposed
revalue
this
residue.
This
investigation
shows
experimental
work
carried
out
prepare
fibers
introduce
them
a
mix
as
macrofibers.
In
addition,
three
fiber
treatments
were
compared:
two
alkaline
one
thermal.
Four
mixes
studied:
reference
mix,
with
untreated
in
dosages,
10
kg/m3
15
kg/m3,
fourth
treated
sodium
hydroxide.
The
properties
analyzed
are
workability,
compression
flexural
strength,
shrinkage.
results
show
used
improves
strength
at
peak
but
does
not
provide
post-crack
residual
strength.
hydroxide
treatment
was
effective
obtaining
more
cohesive
lower
setting
time
delay
slightly
improved
performance
peak.
summary,
can
be
encapsulate
material,
providing
enough
for
several
engineering
applications
(>30
MPa).
Язык: Английский
Machine Learning Algorithm-Based Prediction Model and Software Implementation for Strength Efficiency of Cemented Tailings Fills
Minerals,
Год журнала:
2025,
Номер
15(4), С. 405 - 405
Опубликована: Апрель 11, 2025
A
novel
artificial
intelligence
(AI)
application
was
proposed
in
the
current
study
to
predict
CTF’s
compressive
strength
(CS).
The
database
contained
six
input
parameters:
age
of
curing
for
specimens
(AS),
cement–sand
ratio
(C/S),
maintenance
temperature
(T),
additives
(EA),
additive
type
(AT),
concentration
(AC),
and
one
output
parameter:
CS.
Then,
adaptive
boosting
(AdaBoost)
applied
existing
AI
soft
computing
techniques,
using
AdaBoost,
random
forest
(RF),
SVM,
ANN.
Data
were
arbitrarily
separated
into
training
(70%)
test
(30%)
sets.
Results
confirm
that
AdaBoost
RF
have
best
prediction
accuracy,
with
a
correlation
coefficient
(R2)
0.957
between
these
sets
AdaBoost.
Using
Python
3.9
(64-bit),
IDLE
(Python
64-bit),
PyQt5
achieve
machine
learning
model
computation
software
function
interface
development,
this
can
quickly
property
CTF
specimens,
which
saves
time
costs
efficiently
backfill
researchers
developing
new
eco-efficient
components.
Язык: Английский
Mechanism Study on the Influence of Clay-Type Lithium Slag on the Properties of Cement-Based Materials
Materials,
Год журнала:
2025,
Номер
18(8), С. 1788 - 1788
Опубликована: Апрель 14, 2025
With
the
increasing
demand
for
lithium
resources
and
enhancement
of
global
environmental
awareness,
how
to
efficiently
environmentally
develop
clay-type
is
great
strategic
significance
future
development.
Clay-type
slag
(LS)
a
byproduct
resulting
from
extraction
ores.
Its
primary
chemical
constituents
include
SiO2
Al2O3,
it
exhibits
potential
pozzolanic
properties.
ore
low
grade,
so
large
amount
LS
produced
during
its
production.
In
this
study,
calcined
LS,
limestone
powder
(LP),
cement
clinker
were
used
as
main
raw
materials
prepare
low-carbon
LC3
cementitious
materials.
The
study
focused
on
effect
LP
new
mixing
properties,
mechanical
hydration
kinetics,
microstructure
formation
transformation
findings
revealed
that
incorporating
significantly
raised
standard
consistency
water
reduced
setting
time
binding
material.
While
initially
weakened
performance
mortar,
enhanced
these
properties
in
later
stages.
compressive
strength
LC-10
LC-20
at
180
days
exceeded
reference
by
3.7%
1.1%,
respectively.
addition,
number
micropores
between
3
20
nm
increased
significantly.
It
showed
addition
could
optimize
pore
structure
some
extent.
According
research,
optimal
content
should
not
exceed
30%.
This
method
only
consumes
solid
waste
but
also
facilitates
green
industry.
Язык: Английский
Enhancing dynamic mechanical properties of cemented lithium mica tailings backfill with alkaline rice straw fibers: Experimental investigation and microscopic analysis
Developments in the Built Environment,
Год журнала:
2024,
Номер
unknown, С. 100563 - 100563
Опубликована: Окт. 1, 2024
Язык: Английский