Case Studies in Construction Materials,
Journal Year:
2024,
Volume and Issue:
20, P. e02913 - e02913
Published: Jan. 26, 2024
Much
research
in
3D
concrete
printing
focuses
on
material
design
and
testing
new
additives
to
improve
performance.
However,
there
are
very
few
examples
of
studies
using
carbon
nanomaterials
mechanical
performance
create
smart
mortars
with
self-sensing
capabilities.
is
a
technology
that
optimizing
the
building
industry,
composition
able
monitor
structural
health
can
provide
important
insights
into
stress
levels
microcrack
concentration
critical
parts.
In
this
study,
multi-walled
nanotubes
(MWCNTs)
were
embedded
printable
concrete,
its
ability
was
investigated.
Four
compositions
different
concentrations
MWCNTs
prepared
assess
porosity
distribution
properties
fresh
hardened
states.
To
evaluate
material,
change
conductivity
measured
resistivity
meter
four-point
Wenner
probe,
while
tested
under
compression
tension.
The
results
showed
porosity,
strongly
influenced
by
matrix,
had
significant
effect
state
behavior
compositions,
better
capabilities
one
content
0.5%
per
binder
content.
Matéria (Rio de Janeiro),
Journal Year:
2024,
Volume and Issue:
29(1)
Published: Jan. 1, 2024
This
comprehensive
study
undertaken
to
investigate
the
properties
and
performance
of
M60
grade
self-compacting
self-curing
concrete
mix
designs.
The
research
involved
an
in-depth
analysis
various
compositions
labeled
as
M1
M16,
each
with
specific
aggregate
combinations
percentages.
primary
focus
was
on
assessing
critical
such
flow-ability,
mechanical,
durability
micro
structural
properties.
M6,
featuring
a
balanced
incorporation
fine
alternatives
(FAA)
natural
coarse
aggregates
(NCA),
exhibited
noteworthy
behavior
in
terms
evaluated
indicated
potential
advantages
judiciously
combining
different
types
achieve
desired
characteristics.
underscored
role
selection
substitution
determining
overall
durability,
strength,
concrete.
These
findings
contribute
improved
understanding
optimizing
designs
for
achieving
enhanced
mechanical
properties,
long-term
sustainability.
M12
is
more
superior
compared
all
form
fresh
study’s
outcomes
have
implications
construction
industry,
offering
valuable
insights
into
formulating
blends
tailored
requirements
outcomes.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: June 25, 2024
Abstract
This
research
suggests
a
robust
integration
of
artificial
neural
networks
(ANN)
for
predicting
swell
pressure
and
the
unconfined
compression
strength
expansive
soils
(
P
s
UCS
-ES).
Four
novel
ANN-based
models,
namely
ANN-PSO
(i.e.,
particle
swarm
optimization),
ANN-GWO
grey
wolf
ANN-SMA
slime
mould
algorithm)
alongside
ANN-MPA
marine
predators’
were
deployed
to
assess
-ES.
The
models
trained
using
nine
most
influential
parameters
affecting
-ES,
collected
from
broader
range
145
published
papers.
observed
results
compared
with
predictions
made
by
metaheuristics
models.
efficacy
all
these
formulated
was
evaluated
utilizing
mean
absolute
error
(MAE),
Nash–Sutcliffe
(NS)
efficiency,
performance
index
ρ
,
regression
coefficient
R
2
),
root
square
(RMSE),
ratio
RMSE
standard
deviation
actual
observations
(RSR),
variance
account
(VAF),
Willmott’s
agreement
(WI),
weighted
percentage
(WMAPE).
All
developed
-ES
had
an
significantly
>
0.8
overall
dataset.
However,
excelled
in
yielding
high
values
training
dataset
TrD
testing
TsD
validation
VdD
).
model
also
exhibited
lowest
MAE
5.63%,
5.68%,
5.48%
respectively.
model’s
revealed
that
exceeded
0.9
.
decreased
Also,
yielded
higher
(0.89,
0.93,
0.94)
comparatively
low
(5.11%,
5.67,
3.61%)
case
PSO,
GWO,
SMA,
witnessed
overfitting
problem
because
aforementioned
0.62,
0.56,
0.58
On
contrary,
no
significant
observation
recorded
ANN-base
tested
a-20
index.
For
maximum
points
lie
within
±
20%
error.
sensitivity
as
well
monotonicity
analyses
depicted
trending
corroborate
existing
literature.
Therefore,
it
can
be
inferred
recently
built
swarm-based
ANN
particularly
ANN-MPA,
solve
complexities
tuning
hyperparameters
ANN-predicted
replicated
practical
scenarios
geoenvironmental
engineering.
Construction and Building Materials,
Journal Year:
2024,
Volume and Issue:
416, P. 135108 - 135108
Published: Jan. 28, 2024
Thermal
energy
storage
in
building
envelopes
is
critical
to
promoting
renewable
energy,
implementation
of
which
requires
thermal
performance
enhancement
construction
materials.
In
this
regard,
phase
change
materials
(PCMs)
are
often
incorporated
with
cement-based
composites
(CBCs)
materials,
most
commonly
used
construction.
The
current
article
provides
a
state-of-the-art
review
PCM-incorporated
CBCs
(PCM-CBCs)
considering
various
CBCs,
incorporation
methods,
and
their
challenges
solutions.
Additionally,
evaluation
PCM-CBCs
carried
out
based
on
thermal,
mechanical,
durability,
sustainability,
efficiency,
resource
conservation-based
performances.
It
was
identified
that
terms
performance,
natural
conservation,
the
research
has
been
well
established,
they
find
vast
application
TES
management
systems.
On
other
hand,
although
healthy
data
available
appraisal
mechanical
PCM-CBCs,
more
efforts
required
control
detrimental
impact
PCM
make
them
durable
desirable
for
where
must
undergo
loading.
This
consolidated
perspective
researchers,
practitioners,
educators
working
practical.
