The
integration
of
nanoparticles
into
concrete
has
emerged
as
a
transformative
approach
in
the
field
construction
materials,
promising
significant
improvements
mechanical,
durability,
and
functional
properties.
Given
rapid
advancement
growing
volume
research
this
area,
comprehensive
bibliometric
analysis
is
essential
to
understand
development,
collaboration
patterns,
emerging
trends.
This
study
provides
an
extensive
scientometric
application
concrete,
focusing
on
data-driven
visualization,
networks,
hotspots.
Utilizing
advanced
tools
databases,
systematic
scholarly
publications
from
past
two
decades
was
conducted.
Key
trends
patterns
landscape
were
identified,
highlighting
growth
citations.
Collaborative
networks
between
researchers,
institutions,
countries
mapped,
revealing
dynamics
international
interdisciplinary
collaborations.
Co-citation
keyword
co-occurrence
analyses
employed
uncover
thematic
clusters
evolving
fronts.
findings
indicate
strong
interest
enhancing
properties
through
nanoparticles,
with
notable
attention
nanomaterials
such
nano
SiO2,
carbon
nanotubes,
graphene
oxide,
TiO2
CaCO3.
summarizes
evolution
nanoparticle
outlines
future
opportunities,
providing
key
insights
for
advancing
field.
Open Engineering,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 1, 2024
Abstract
The
development
of
nanotechnology
has
led
to
the
creation
materials
with
unique
properties,
and
in
recent
years,
numerous
attempts
have
been
made
include
nanoparticles
concrete
an
effort
increase
its
performance
create
improved
qualities.
Nanomaterials
are
typically
added
lightweight
(LWC)
goal
improving
composite’s
mechanical,
microstructure,
freshness,
durability
Compressive
strength
is
most
crucial
mechanical
characteristic
for
all
varieties
composites.
For
this
reason,
it
essential
accurate
models
estimating
compressive
(CS)
LWC
save
time,
energy,
money.
In
addition,
provides
useful
information
planning
construction
schedule
indicates
when
formwork
should
be
removed.
To
predict
CS
mixtures
or
without
nanomaterials,
nine
different
were
proposed
study:
gradient-boosted
trees
(GBT),
random
forest,
tree
ensemble,
XGBoosted
(XGB),
Keras,
simple
regression,
probabilistic
neural
networks,
multilayer
perceptron,
linear
relationship
model.
A
total
2,568
samples
gathered
examined.
significant
factors
influencing
during
modeling
process
taken
into
account
as
input
variables,
including
amount
cement,
water-to-binder
ratio,
density,
content
aggregates,
type
nano,
fine
coarse
aggregate
content,
water.
suggested
was
assessed
using
a
variety
statistical
measures,
coefficient
determination
(
R
2
),
scatter
index,
mean
absolute
error,
root-mean-squared
error
(RMSE).
findings
showed
that,
comparison
other
models,
GBT
model
outperformed
others
predicting
compression
enhanced
nanomaterials.
produced
best
results,
greatest
value
(0.9)
lowest
RMSE
(5.286).
Furthermore,
sensitivity
analysis
that
important
factor
prediction
water
content.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Nov. 16, 2023
Steel
fiber
reinforced
concrete
(SFRC)
offers
improved
toughness,
crack
resistance,
and
impact
resistance.
Nano-silica
enhances
the
strength,
durability,
workability
of
concrete.
This
study
investigated
combined
effect
nano-silica
steel
microfibers,
termed
micro-concrete
with
fibers
embedding
(MRFAIN),
on
mechanical
properties
The
aim
was
to
determine
influence
different
percentages
microfibers
fresh
state
properties,
performance
MRFAIN.
MRFAIN
mixtures
were
prepared
cement,
sand,
water,
superplasticizer,
varying
dosages
(0-2%),
(0-2%
by
volume).
Mechanical
evaluated
at
28
days
included
compressive
flexural
modulus
elasticity,
fracture
energy.
Incorporating
reduced
but
enhanced
like
strength
ductility.
addition
showed
variable
effects
increased
tensile
strength.
Optimal
content
1%
2%,
giving
122.5
MPa,
25.4
elasticity
42.7
GPa.
Using
steel,
fiber-reinforced
shows
potential
for
reducing
construction
waste
pollution.
Further
research
can
optimize
proportions
in
