Road Materials and Pavement Design,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: Dec. 23, 2024
The
shape
and
size
of
aggregates
are
rarely
investigated
in
pervious
concrete
research
despite
their
impact
on
porosity
compressive
strength.
This
study
analyses
the
distribution
mix
design
strength
concrete.
486
specimens
81
different
designs
(aggregate-size,
aggregate-shape,
aggregate-to-cement
ratio
compaction)
were
investigated.
Compressive
was
measured
after
28
days
curing.
samples
estimated
as
theoretical
(computed
from
constituent
ratios)
(using
water
displacement).
Data
visualisation
used
for
pattern
recognition
while
ANOVA,
Post-hoc
Bayesian
independent
t-Tests
employed
to
statistically
verify
effects.
A
significant
aggregate-shape
observed
aggregate
significantly
lesser
impact.
Aggregate
cement
had
a
larger
compaction
yet
lower
Porosity
strengths
relationships
shapes
aggregates.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(4), P. e26188 - e26188
Published: Feb. 1, 2024
Around
8%
of
the
global
carbon
dioxide
emissions,
are
generated
during
cement
manufacturing,
which
also
involves
significant
use
raw
materials,
leading
to
adverse
environmental
effects.
Consequently,
extensive
research
is
being
conducted
worldwide
explore
feasibility
utilizing
different
industrial
waste
by-products
as
alternatives
in
concrete
production.
Fly
ash
(FA),
Metakaolin
(MK),
Silica
fume
(SF),
and
ground
granulated
blast
furnace
slag
(GGBS)
potential
materials
that
can
serve
substitutes
pervious
concrete.
However,
there
exist
conflicting
findings
literature
regarding
impact
supplementary
cementitious
(ISCMs)
partial
replacements
on
physical,
mechanical,
durability
properties
The
aim
this
review
investigate
benefits
using
ISCMs
compare
them
production
analysis
primarily
examines
effect
properties,
including
ISMCs,
mechanical
influence
stems
from
their
pozzolanic
reaction
filler
characteristics.
SF
has
highest
reactivity
due
its
high
surface
area
amorphous
structure,
resulting
a
rapid
reaction.
GGBS
FA
have
moderate
reactivity,
while
MK
relatively
low
crystalline
structure.
Results
various
studies
indicate
addition
FA,
SF,
up
approximately
20%
leads
reduction
porosity
permeability
improving
compressive
strength
MK.
Incorporating
increases
slightly
causing
slight
decrease
strength.
range
for
incorporating
were
0.17–1.46
cm/s
4–35
MPa,
0.56–2.28
3.1–35
0.19–0.64
8–42
0.10–1.28
5.5–41
respectively,
acceptable
non-structural
application
In
conclusion,
it
possible
produce
sustainable
by
substituting
with
GGBS,
MK,
thereby
reducing
consumption,
footprint,
energy
usage,
air
pollution
associated
conventional
further
required
systematically
assess
long-term
behavior,
and,
develop
models
analyzing
CO2
emissions
cost
considerations
containing
ISMCs.
Engineering Research Express,
Journal Year:
2025,
Volume and Issue:
7(1), P. 015418 - 015418
Published: Jan. 31, 2025
Abstract
The
prediction
of
compressive
strength
is
crucial,
as
it
influenced
by
various
mix
parameters
such
aggregate
size,
aggregate-to-cement
ratio,
and
compaction.
Accurate
forecasting
ensures
optimized
designs,
enhancing
both
performance
material
efficiency
in
construction
projects.
novelty
this
study
lies
integrating
machine
learning
techniques
to
predict
the
pervious
concrete,
incorporating
these
key
improve
predictive
accuracy
facilitate
more
precise
sustainable
design
choices.
For
experimental
study,
600
samples
were
prepared
with
varying
ratios
(3.0–5.0),
compaction
(0–60
blows
from
standard
proctor
rammer),
size
(4.75–25
mm)
monitored
for
porosity
strength.
A
modified
Ryshkewitch
model
assessed
alongside
evaluations
optimization.
effect
parameter
variability
on
investigate
uncertainty
propagation.
Key
uncertainties
are
highlighted
sensitivity
analysis,
output
distributions
produced
Monte
Carlo
simulations,
reducing
essential
practical
applications,
guarantees
that
forecasts
remain
constant
across
a
range
materials
environmental
circumstances.
In
addition,
neural
network
models
analyzed
accuracy.
Incorporating
enhanced
R
2
empirical
0.63
0.78
0.92,
respectively,
while
was
comparable
observations.
Aggregate
size-based
improved
than
0.95
all
cases,
insisting
dominant
impact
models.
research
concludes
designs
not
only
but
also
promote
sustainability
waste
durability
concrete.
These
findings
provide
valuable
insights
efficient
environmentally
friendly
concrete
urban
infrastructure
