Research on dynamic fuzzy prediction method for surrounding rock stability of mountain tunnels throughout the construction period
Tunnelling and Underground Space Technology,
Год журнала:
2025,
Номер
158, С. 106390 - 106390
Опубликована: Янв. 15, 2025
Язык: Английский
Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry
Case Studies in Construction Materials,
Год журнала:
2025,
Номер
unknown, С. e04346 - e04346
Опубликована: Фев. 1, 2025
Язык: Английский
Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
Artificial Intelligence Review,
Год журнала:
2024,
Номер
57(10)
Опубликована: Авг. 19, 2024
The
deep
integration
of
computer
field
and
coal
mining
is
the
only
way
to
mine
intellectualization.
A
variety
artificial
intelligence
tools
have
been
applied
in
open-pit
shallow
mines.
However,
with
geometric
increase
demand,
contradiction
between
supply
demand
becoming
more
serious,
exploitation
resources
from
layer
(>
600
m)
has
become
an
inevitable
trend.
Well
then,
as
a
new
engineering
scene,
harsh
conditions
"three
high
one
disturbance"
seriously
threaten
safety
personnel.
superposition
complex
environment
makes
number
input
factors
sharply,
which
leads
application
roadway
engineering.
guidance
not
mature,
construction
various
databases
missing,
there
are
still
some
problems
universality
applicability.
To
this
end,
paper
starts
introduction
operating
characteristics
tools,
conducts
comprehensive
study
relevant
high-level
articles
published
top
journals.
It
systematically
sorts
out
research
progress
that
successfully
solved
five
directions
rock
mechanics
strength,
surrounding
stability,
rock-burst,
roof
fall
risks
micro-seismic
events.
While
objectively
evaluating
performance
different
it
also
expounds
its
own
views
on
key
results.
Literature
review
shows
whether
development
tool
or
comparative
model,
ANN
than
98%,
performs
extremely
well
direction
stability
risk,
accuracy
rate
90%.
As
most
mature
AI
application,
mechanical
strength
experienced
process
"SVM
→
DL
XGBoost
RF".
dataset
small
samples
(<
100)
big
1000),
R2
tree-based
models
can
be
stabilized
at
95%.
rock-burst
prediction
mainly
focuses
monitoring
data.
Whether
sample
large-scale
data
BN
remains
above
85%.
evaluation
events
recent
years.
image
processing
CNN
important.
signal
recognition
classification
accounts
for
90%,
potential
source
location
needs
further
explored.
In
general,
nature
itself
first
choice
almost
all
influencing
factors.
At
same
time,
update
iteration
methods
(micro-seismic,
ground
sound,
separation,
deformation,
etc.)
expands
database,
making
possible
obtain
due
threat
life
cost
equipment,
very
difficult
before.
parameter
selection
method
combining
lithology
conditions,
geological
will
gradually
research.
Finally,
follow-up
work
collation
on-the-spot
investigation,
existing
mines,
explores
engineering,
puts
forward
focus
challenging
future,
gives
opinions.
Язык: Английский
Hybrid CNN-MLP architecture data-driven airflow parameters perception in underground metal mine
Expert Systems with Applications,
Год журнала:
2025,
Номер
279, С. 127441 - 127441
Опубликована: Апрель 6, 2025
Язык: Английский
Prediction of blast-hole utilization rate using structured nonlinear support vector machine combined with optimization algorithms
Applied Intelligence,
Год журнала:
2024,
Номер
54(19), С. 9136 - 9157
Опубликована: Июль 10, 2024
Язык: Английский
Numerical Simulation and Engineering Application of Temporary Stress Field in Coal Mine Roadway
Applied Sciences,
Год журнала:
2024,
Номер
14(23), С. 11420 - 11420
Опубликована: Дек. 8, 2024
The
imbalance
between
excavation
and
mining
is
significant
as
it
restricts
the
efficient
development
of
coal
resources.
Slow
tunneling
speed
primarily
due
to
inability
concurrently
conduct
permanent
support
operations,
temporary
considered
a
key
solution
this
problem.
However,
mechanism
by
which
affects
surrounding
rock
in
unsupported
are
remains
unclear,
hindering
assurance
stability
these
areas
determination
reasonable
span.
To
address
issue,
work
proposed
stress
distribution
model
support,
elucidating
law
forces
within
rock.
By
analyzing
differences
with
without
field
characteristics
were
determined.
Subsequently,
evolution
strain
was
analyzed
concerning
changes
length,
force,
distance.
results
indicated
that,
although
does
not
directly
act
on
areas,
still
generates
supportive
them.
maximum
distance
should
exceed
3
m,
there
strong
linear
relationship
optimal
force
Furthermore,
length
17
m
from
tunnel
face.
successful
application
shield
robot
system
verifies
that
can
ensure
confirming
validity
model.
This
research
be
used
design
optimize
cutting
parameters
parameters,
arrange
equipment,
processes
achieve
safe
tunneling.
Язык: Английский