Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
This
paper
integrates
the
landscape
information
model,
designs
digital
twin
rural
architecture,
and
analyzes
advantages
of
model.
The
practical
application
technology
is
examined
from
planning
design
stage
to
construction
stage.
Considering
actual
site
layout
consumption
materials,
NSGA-II
algorithm
selected
optimize
dynamic
temporary
facilities
by
combining
multi-objective
optimization
theory.
Using
drive
site,
a
twin-driven
mechanism
proposed
in
combination
with
BIM
technology.
scheduling
tasks
are
used
analyze
feasibility
scheme
generated
using
Analyze
gardens
planned
terms
ecological,
social,
economic
benefits.
convergence
minimum
achieved
at
0.15
0.09
when
comparing
number
iterations
between
initialized
layout.
corresponding
reaches
its
optimal
state
during
can
provide
most
suitable
arrangement
that
garden
generate
an
return
value
71.756
yuan/m²
per
year,
which
further
promote
revitalization.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
architecture,
engineering,
and
construction
(AEC)
sector
is
currently
experiencing
a
profound
shift
in
its
paradigm
through
the
incorporation
of
Building
Information
Modelling
(BIM)
advanced
generative
artificial
intelligence
(AI)
technologies.
This
study
delves
into
diverse
applications
this
transformative
integration,
presenting
pioneering
framework
for
merging
BIM
with
models
like
ChatGPT
Bard.
integrated
approach
outlined
research
paper
has
broad
implications.
Initially,
it
explores
augmentation
design
process,
where
AI
enhances
creative
input
architects
engineers
by
generating
innovative
alternatives
rooted
data.
BIM's
collaborative
ethos
extended
natural
language
interfaces
from
ChatGPT,
fostering
seamless
communication
idea
exchange
among
project
stakeholders.
In
phase,
integration
streamlines
real-time
decision-making
on-site
personnel,
providing
AI-generated
insights
based
on
ensures
heightened
efficiency,
cost-effectiveness,
risk
management.
synergy
between
also
harnessed
simulation
analysis,
enabling
predictions
related
to
structural
performance,
energy
environmental
impact.
introduces
an
seamlessly
AI,
prioritizing
interoperability,
data
consistency,
user-friendly
interfaces.
Designed
adapt
dynamic
nature
AEC
projects,
promotes
continuous
collaboration
information
exchange.
It
establishes
standardized
platform
harnessing
strengths
both
technologies,
ensuring
cohesive
efficient
workflow
across
lifecycle.
Nevertheless,
brings
forth
challenges,
including
security,
ethical
considerations,
demand
extensive
computational
resources.
provides
foundational
upcoming
studies
industry
practices,
paving
way
more
intelligent,
collaborative,
ecosystem.
Journal of Building Engineering,
Год журнала:
2024,
Номер
95, С. 110030 - 110030
Опубликована: Июнь 22, 2024
Building
Information
Modelling
(BIM)
has
been
extensively
advocated
in
the
construction
industry
for
its
potential
to
improve
design
efficiency
and
quality.
However,
application
continues
encounter
considerable
resistance
from
designers
because
BIM
is
less
efficient
than
conventional
2D
3D
data
formats
some
tasks.
Consequently,
a
flexible
approach
that
integrates
into
existing
workflows,
instead
of
fully
replacing
traditional
formats,
believed
better
enhance
application.
Given
this
concern,
study
conducts
questionnaire
survey
among
Chinese
investigate
engineering
information
used
practice
assess
applicability
approach.
Analysis
responses
using
relevance
analysis,
logistic
regression,
multiple
correspondence
analysis
reveals
more
frequently
coordinating
multi-disciplinary
later
stages
project
development
early
phases.
Conversely,
are
preferred
creating
comparing
alternatives
during
concept
developed
stages.
A
practical
emerges
technical
stage
prefabricated
projects.
These
results
suggest
promising
application:
allowing
use
format
stages,
integrating
these
designs
shared
model
stage,
maintaining
them
thereafter.
Besides
offering
an
in-depth
utilization,
offers
strategies
contractors,
policymakers,
developers
extend
promotion.
Buildings,
Год журнала:
2024,
Номер
14(6), С. 1613 - 1613
Опубликована: Июнь 1, 2024
This
study
addresses
the
current
lack
of
research
on
effectiveness
assessment
Artificial
Intelligence
(AI)
technology
in
architectural
education.
Our
aim
is
to
evaluate
impact
AI-assisted
teaching
student
learning.
To
achieve
this,
we
developed
an
AI-embedded
model.
A
total
24
students
from
different
countries
participated
this
9-week
course,
completing
a
comprehensive
analysis
programming
and
design
using
AI
technologies.
conducted
questionnaire
surveys
with
at
both
midterm
final
stages
followed
by
structured
interviews
after
course
completion,
explore
application
status
The
results
indicate
that
model
positively
effectively
influenced
“innovative
capability”
“work
efficiency”
technologies
were
identified
as
key
factors
affecting
Furthermore,
revealed
close
integration
but
challenges
uncontrollable
expression
outcomes.
Student
utilization
appeared
fragmented,
lacking
systematic
approach.
Lastly,
provides
targeted
optimization
suggestions
based
among
students.
offers
theoretical
practical
support
for
further
Buildings,
Год журнала:
2024,
Номер
14(8), С. 2475 - 2475
Опубликована: Авг. 10, 2024
Building
information
modelling
(BIM)
is
an
appreciated
technology
in
the
field
of
architecture
and
construction
management.
Collaboration
BIM
has
not
been
fully
utilized
structural
engineering
stream
as
many
engineers
keep
on
working
with
previous
prevailing
design
approaches.
Failure
to
adequately
facilitate
automation
could
lead
defects,
rework,
or
even
clashes,
major
financial
implications.
Given
inherent
complexity
large-scale
projects,
‘manual
detailing’
structure
a
challenging
task
prone
human
errors.
Against
this
backdrop,
study
developed
4D
building
management
approach
automated
models
for
professionals
designing
all
elements
required
reinforced
concrete
(RC)
structures
like
slabs,
beams,
columns.
The
main
contribution
obtain
directly
from
automatically,
which
reduces
effort
possible
errors
framework
enables
execution
model
works
automatically
through
coding.
This
achieved
by
executing
script
beneficial
integrated
project
delivery
(IPD).
3D
software
presented
extracts
transfers
geometrical
data
links
these
Industry
Foundation
Classes
(IFC)
files
using
integration
facilitated
Python
3.6
IFCopenshell.
programme
offers
cost-effective
accurate
methodology
address
limitations
inefficiencies
traditional
methods
modelling,
had
carried
out
manually.
authors
have
novel
tool
extract
architectural
without
proprietary
software,
greatly
benefiting
managers
enhancing
models.
advancement
toward
Open
BIM,
crucial
architecture,
engineering,
(AEC)
industry’s
future,
accessible
educators
beginners
highlights
BIM’s
effectiveness
improving
analysis
productivity.
core
finding
generate
automating
IFC
merits
are
reduced
more
economical
smart
work
functions
IPD.
