Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(10), P. 5523 - 5523
Published: May 15, 2025
Machine
learning
(ML)
is
transforming
the
evaluation
of
3D
printing
materials,
enabling
more
efficient
and
accurate
assessment
material
properties,
including
their
sustainable
life
cycle.
ML
algorithms
can
analyze
vast
amounts
data
from
previous
processes
to
predict
performance
different
materials
(including
those
used
in
multi-material
printing)
under
conditions.
This
predictive
ability
helps
selecting
most
suitable
for
specific
tasks,
optimizing
mechanical,
chemical,
overall
quality
final
product.
Furthermore,
by
integrating
real-time
sensors
during
process,
continuously
monitor
adjust
parameters,
ensuring
optimal
utilization
reducing
waste.
models
identify
correct
defects
printed
recognizing
patterns
associated
with
defects,
thus
improving
reliability
3D-printed
objects.
approach
reduces
need
expensive
time-consuming
physical
tests.
accelerates
pace
development
but
also
increases
precision
selection
processing,
contributing
use
energy
printing.
Smart and Sustainable Built Environment,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 19, 2024
Purpose
This
study
explores
the
contributions
of
fly
ash,
bottom
ash
and
biomass
from
coal
power
plants
for
enhancing
circular
economy
construction
sectors
in
emerging
economies.
Design/methodology/approach
research
investigates
their
applications
construction,
emphasizing
role
reducing
environmental
impact
promoting
principles.
Through
a
qualitative
analysis
using
data
structured
interviews
with
41
involved
stakeholders,
highlights
economic
benefits
integrating
these
by-products
into
business
operations.
Findings
Currently,
cement
concrete
industries
can
successfully
adopt
almost
100%
but
logistic
optimization
is
necessary
to
address
wet
problem.
The
practical
pose
disposal
challenges
due
poor
adoption.
Biomass
be
alternatively
implemented
as
soil
amendment
fertilization
agriculture
industry
while
current
growth
seems
significant
shift
clean
energy
policy.
Practical
implications
underscores
importance
policy
support
collaboration
between
stakeholders
maximize
sustainable
potential
an
context.
Originality/value
sustainability
development
goals
(SDGs)
were
well-established
developing
Nevertheless,
literature
review
indicates
that
there
lack
understanding
regarding
backgrounds,
influencing
factors,
economy.
Sustainable and Resilient Infrastructure,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 14
Published: Jan. 16, 2025
Adopting
alternative
energy
sources
becomes
imperative,
despite
the
existing
technical
and
practical
obstacles
in
its
implementation.
This
study
aimed
to
explore
harvesting
potential
of
thermoelectric
effect
on
concrete
surfaces.
By
examining
impact
incorporating
graphite
powder
into
(at
0.5–2.5%
cement
weight)
steel
fiber
1–2%
volume),
we
investigated
compared
thermal,
electrical,
mechanical
properties
concrete.
The
findings
revealed
that
adding
at
a
2.5%
weight-to-cement
ratio
led
maximum
upper
surface
temperature
50.4°C
subsequently
generated
voltage
0.27
volts.
However,
side
temperature,
located
same
position,
yielded
lower
results
than
surface.
It
is
crucial
incorporate
device
for
converting
voltage,
necessitating
shallow
placement
near
high-temperature,
well-tempered
pavement
ensure
efficient
harvesting.
Advanced Materials Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 25, 2025
Abstract
With
technological
advancement
and
development,
there
is
a
tremendous
increase
in
demand
for
different
smart
materials
because
of
their
stimulation
from
external
sources.
Moreover,
the
time‐dependent
response
provides
insight
into
fabrication
these
using
4D
printing
(4DP)
techniques.
Hence,
this
study
presents
comprehensive
review
4DP
materials.
The
covers
aspects
material,
design
optimization
to
printing.
Herein,
have
been
discussed
detail
based
on
physical,
biological,
chemical
stimuli‐responsive
subtype's
behavior.
For
designing
materials,
usage
tools
such
as
new
software,
finite
element
analysis,
machine
learning
are
also
discussed.
challenging
responsive
natures
complexity
mechanisms.
detailed
present
3D
techniques,
use
4DP,
how
future
applications
can
be
incorporated
with
material
presented.
help
learning,
directions
fabricating
4DP.
challenges
utilization
comprehensively
covered.
Journal of Asian Architecture and Building Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 16
Published: March 5, 2025
With
an
aging
population,
the
importance
of
age-friendly
design
for
high-speed
railway
station
squares
is
rising.
This
study
creates
evaluation
framework
such
squares,
considering
security,
pedestrian
systems,
environmental
facilities,
basic
functions,
and
arts
culture
from
elderly
users'
perspectives.
Utilizing
IPA-Kano
model,
quantifies
needs
perceptions
elderly,
also
explores
key
factors
affecting
in
Chengdu
East
Railway
Station.
The
findings
indicate
that:
(1)elderly
users
prioritize
safety
convenience
over
aesthetic
considerations
square,
aligning
with
Maslow's
hierarchy
needs.
insufficient
provision
seating
rain
shelter
facilities
contributes
to
lower
satisfaction
among
this
demographic.
(2)The
important
elements,
including
walking
surfaces,
first
aid
quantity
placement
staircases
es
calators,
flow
design,
public
seating,
spatial
cleanliness,
service
amenities,
human
counseling
services,
are
prioritized
optimization
process.
Enhancing
these
elements
likely
markedly
enhance
overall
older
users.
Conclusively,
integrates
field
results
delineate
pathway
square.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3719 - 3719
Published: March 28, 2025
The
integration
of
3D
printing
with
smart
infrastructure
presents
a
transformative
opportunity
in
urban
planning,
construction,
and
engineering,
enhancing
efficiency,
flexibility,
sustainability.
By
leveraging
additive
manufacturing
alongside
digitalization,
artificial
intelligence
(AI),
the
Internet
Things
(IoT),
this
technology
enables
creation
customized,
lightweight,
sensor-embedded
structures.
This
work
analyzes
both
advantages
challenges
applying
infrastructure,
focusing
on
material
optimization,
rapid
prototyping,
automated
fabrication,
which
significantly
reduce
construction
time,
labor
costs,
waste.
Applications
such
as
3D-printed
bridges,
modular
housing,
IoT-integrated
furniture
exhibit
its
potential
contributing
towards
resilient
resource-efficient
cities.
However,
despite
these
benefits,
significant
hinder
large-scale
adoption.
Issues
scalability,
particularly
fabrication
large
load-bearing
structures,
remain
unresolved,
requiring
advancements
high-speed
techniques,
reinforcement
strategies,
hybrid
methods.
Furthermore,
regulatory
uncertainties
absence
standardized
guidelines
create
barriers
to
implementation.
lack
comprehensive
building
codes,
certification
protocols,
quality
assurance
measures
for
structures
limits
their
widespread
acceptance
mainstream
construction.
Overcoming
limitations
necessitates
research
into
AI-driven
process
multi-material
printing,
international
standardization
efforts.
assisting
overcoming
challenges,
has
redefine
development,
making
more
adaptive,
cost-effective,
environmentally
sustainable.
provides
critical
evaluation
current
capabilities
achieving
full-scale
implementation
compliance.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
20(1)
Published: April 11, 2025
Abstract
Carbon
quantum
dots
(CQDs)
have
emerged
as
promising
organic
nanomaterials
due
to
their
unique
physicochemical
properties
and
versatile
applications.
In
recent
years,
there
has
been
a
growing
interest
in
exploring
the
role
of
CQDs
improving
performance
construction
building
materials,
including
cement,
concrete,
asphalt.
This
paper
presents
comprehensive
literature
review
articles
focusing
on
synthesis
methods
graphene
(GQDs),
characteristics,
effects
mechanical,
thermal,
durability
cement-based
materials.
Furthermore,
potential
challenges
future
research
directions
this
field
towards
carbon
capture,
utilization,
storage
(CCUS)
direction
are
also
discussed.
The
mechanisms
behind
these
improvements
analyzed,
interfacial
bonding
between
CQDs,
seeding
nucleation
cement
hydration
process,
filling
effect.
Additionally,
addresses
associated
with
CQD
implementation,
such
cost-effectiveness
large-scale
implementation.
Finally,
suggested
outline
for
optimizing
used
materials
many
is
discussed,
suggesting
novel
ways
high-performance,
functional,
sustainable
smart
Graphical
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
3(2), P. 225 - 232
Published: March 25, 2025
The
convergence
of
artificial
intelligence
(AI)
and
3D
concrete
printing
(3DCP)
heralds
a
paradigm
shift
in
architectural
design
construction,
blending
computational
innovation
with
sustainable
practices.
This
study
synthesizes
the
state
art
AI-driven
generative
for
3DCP,
examining
cutting-edge
methodologies
such
as
adversarial
networks
(GANs),
topology
optimization,
reinforcement
learning
(RL),
digital
twins.
These
technologies
collectively
address
longstanding
challenges
material
efficiency,
structural
robustness,
ecological
impact
by
automating
exploration,
real-time
process
control,
lifecycle
management.
integration
AI
3DCP
enables
unprecedented
geometric
complexity,
adaptive
fabrication,
smart
city
alignment,
yet
barriers
scalability,
regulatory
frameworks,
standardization
persist.
By
critically
evaluating
advancements
ChatGPT-aided
ideation,
physics-informed
simulations,
IoT-enabled
twins,
this
research
maps
holistic
framework
AI-augmented
3DCP.
paper
underscores
transformative
potential
redefining
workflows,
advocating
interdisciplinary
collaboration
to
bridge
creativity,
ethical
governance,
urban
development.
