Digital twins for urban underground space
Tunnelling and Underground Space Technology,
Год журнала:
2024,
Номер
155, С. 106140 - 106140
Опубликована: Окт. 23, 2024
Язык: Английский
Collapse Mechanism and Mitigations of Mountain Tunnel Crossing Fault Fracture Zone: A Case Study from Southeast China
Geotechnical and Geological Engineering,
Год журнала:
2025,
Номер
43(4)
Опубликована: Март 21, 2025
Язык: Английский
Automated framework for asphalt pavement design and analysis by integrating BIM and FEM
Automation in Construction,
Год журнала:
2025,
Номер
171, С. 105991 - 105991
Опубликована: Янв. 23, 2025
Язык: Английский
Surface Feature and Defect Detection Method for Shield Tunnel Based on Deep Learning
Journal of Computing in Civil Engineering,
Год журнала:
2025,
Номер
39(3)
Опубликована: Фев. 7, 2025
Язык: Английский
Tunnel BIM Model Integration Construction Method and Engineering Application
Iranian Journal of Science and Technology Transactions of Civil Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 1, 2025
Язык: Английский
Integrated BIM, GIS and interoperable digital technologies in lifecycle management of building construction projects: systematic literature review
Smart and Sustainable Built Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Purpose
In
the
digital
era,
there
is
a
growing
interest
in
integrating
building
information
modeling
(BIM)
and
geographic
system
(GIS)
technologies
throughout
construction
lifecycle,
including
design,
construction,
operation,
maintenance
demolition,
using
interoperable
technologies.
This
study
aims
to
provide
holistic
assessment
of
potential
BIM/GIS
integration
improve
quality
by
comprehensively
analyzing
literature
reveal
application
areas,
opportunities,
most
urgent
problems/obstacles,
technical
solutions,
gaps
future
directions
for
construction.
Design/methodology/approach
review
seeks
answers
five
identified
research
questions
conducts
systematic
process
that
includes
content
analysis
bibliometric
141
articles
published
between
2007
2024
from
Scopus
database.
Findings
Integrated
reveals
leading
topics
cutting-edge
technologies,
lifecycle
management,
data
disaster
urban
management
activities
(type
location),
are
gaining
significant
momentum.
Additionally,
such
as
circularity,
cultural
heritage,
waste,
safety,
life
cycle
(LCA)
supply
chain
remain
open
further
exploration.
The
results
indicate
challenge
lies
converting
geometric
semantic
Industry
Foundation
Classes
(IFC)/City
Geography
Markup
Language
(CityGML)
or
shapefile
formats
BIM/GIS.
consensus
suggests
utilizing
single/third-party
platform,
with
Infraworks
software
being
prominent
option.
Originality/value
offers
practical
recommendations
tackle
current
challenges
based
on
analyses
conducted
while
highlighting
should
aim
integrate
BIM/GIS-enabled
twins
buildings
cities.
Язык: Английский
Intelligent design and evaluation of tunnel support structure systems
Automation in Construction,
Год журнала:
2025,
Номер
175, С. 106215 - 106215
Опубликована: Апрель 18, 2025
Construction Cost Optimization of Prefabricated Buildings Based on BIM Technology
Information Resources Management Journal,
Год журнала:
2024,
Номер
37(1), С. 1 - 14
Опубликована: Июль 18, 2024
Prefabricated
assemblies
are
popular
in
the
construction
industry
due
to
their
minimal
carbon
footprint,
enhanced
safety,
and
reliability.
A
combination
of
software,
including
Revit,
Navisworks,
Practical
Structural
Design
Construction
(PKPM)
is
used
reduce
costs
by
refining
specifications
dimensions
components,
streamlining
variety
molds,
enhancing
design
performance
through
rigorous
component
collision
inspections
structural
optimization,
ensuring
cost-effectiveness.
The
integration
building
modeling
(BIM)
visualization
significantly
diminishes
errors
attributable
information
asymmetry
minimized
material
wastage
stemming
from
production
inaccuracies.
implementation
a
Radio
Frequency
Identification
(RFID)
exchange
platform
enables
real-time
tracking,
provides
insights
into
transportation
dynamics
these
facilitates
cost
optimization
during
phase.
Moreover,
simulations
conducted
using
Fuzor
software
preemptively
identify
potential
site
issues.
There
substantial
savings
710,000
yuan.
Язык: Английский
Advancing Tunnel Construction Reliability with Automated Artificial Intelligence under Geotechnical and Aleatoric Uncertainties
The Open Civil Engineering Journal,
Год журнала:
2024,
Номер
18(1)
Опубликована: Окт. 4, 2024
Aims
This
research
seeks
to
improve
the
reliability
and
sustainability
of
tunnel
construction
by
employing
automated
AI
techniques
manage
geotechnical
aleatoric
uncertainties.
It
utilizes
machine
learning
models,
including
Gradient
Boosting
Machines
(GBM),
AdaBoost,
Hidden
Markov
Models
(HMM),
Deep
Q-Networks
for
Reinforcement
Learning,
predict
reduce
environmental
impacts.
The
effectiveness
these
algorithms
is
assessed
using
various
performance
metrics
demonstrate
their
impact
on
enhancing
processes.
Background
While
vital
modern
infrastructure
development,
it
poses
significant
challenges.
Traditional
methods
assessing
impacts
often
rely
manual
overly
simplistic
models
that
fail
consider
complex
interactions
inherent
uncertainties
factors.
aims
overcome
limitations
applying
techniques,
particularly
algorithms,
more
accurately
mitigate
Objective
goal
this
study
increase
AI-based
address
both
focuses
deploying
such
as
GBM,
HMM,
Learning
forecast
negative
algorithms'
measured
against
criteria
in
optimizing
outcomes.
Methods
applies
Q-Networks,
enhance
construction's
sustainability.
These
are
designed
while
accounting
models'
evaluated
like
accuracy,
precision,
recall,
F1
score,
log
loss,
mean
squared
error
(MSE),
log-likelihood,
cumulative
reward,
convergence
rate,
policy
stability,
indicating
substantial
improvements
practices.
Results
shows
significantly
enhances
GBM
achieved
a
high
accuracy
0.92
an
score
0.90.
Additionally,
effectively
identified
optimal
strategies,
resulting
reward
950.
outcomes
highlight
capability
uncertainties,
leading
safer,
resilient
development.
Conclusion
findings
suggest
integrating
substantially
improves
projects.
approaches
with
providing
predictive
scores
strategies.
Adopting
technologies
could
result
sustainable,
infrastructure,
underscoring
potential
transforming
Язык: Английский