Measurement Science and Technology,
Journal Year:
2024,
Volume and Issue:
36(1), P. 016011 - 016011
Published: Oct. 21, 2024
Abstract
Acoustic
emission
(AE)
source
localization
is
crucial
for
monitoring
but
often
relies
on
prior
information,
such
as
wave
velocity
and
arrival
time.
This
study
introduces
a
novel
method
locating
AE
sources
in
rocks
without
addressing
challenges
posed
by
heterogeneous
sensor
arrays.
Experiments
involving
pencil
led
break
(PLB)
tests
sandstone
cubes
collected
waveforms
their
coordinates.
A
ResNet-50
based
deep
learning
model
was
developed
to
correlate
the
time-frequency
spectra
of
with
PLB
locations,
expressed
spatial
Gaussian
distributions.
The
model,
achieved
79%
prediction
accuracy
complex
environments.
While
there
room
improvement
training
data
quantity
diversity,
results
validate
model’s
effectiveness,
particularly
coal
mines
tunnel
engineering.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(4), P. e26133 - e26133
Published: Feb. 1, 2024
To
provide
scholars
with
a
quick
understanding
of
the
current
status,
research
hotspots,
and
future
trends
in
field
mine
ventilation,
this
paper
conducted
visualized
bibliometric
analysis
comprehensive
review
ventilation-related
literature
from
2010
to
2023
using
CiteSpace.
A
thorough
publication
time,
co-authorship,
co-citation,
keywords,
topics
was
carried
out.
Based
on
this,
through
systematic
reading
summarization,
ventilation
were
organized,
analyzed,
classified.
The
results
indicate
that
went
three
stages:
stable
development,
slow
growth,
rapid
ascent.
Nie
Wen
China
Univ
Min
&
Technol
most
prolific
authors
institutions
ventilation.
had
highest
number
publications
during
2010–2023,
while
Canada
Poland
exhibited
centrality,
signifying
their
key
roles
domain.
Deep
intelligent
emerged
as
hotspots
mainstream
future.
multiple
hazard
coupling
studies
represents
direction
needs
develop.
Numerical
simulation
techniques
should
not
be
limited
static
analysis,
dynamic
is
focal
area
interest.
Frontiers in Earth Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 9, 2025
Introduction
Yongxing
Tunnel
No.1’s
complex
geology
near
a
buried
oil
pipeline
on
the
Guizhou-Nanning
high-speed
route
poses
blasting
risks.
Prioritizing
safety,
efforts
focus
minimizing
vibration
impacts.
Methods
Research
uses
numerical
simulations
and
field
tests
to
analyze
three
delay
times
spacing
charge
materials
for
reduction.
Results
Optimal
is
30
ms,
yielding
0.52
cm/s
velocity,
20%-29%
lower
than
28
ms
32
ms.
Soil
most
effective
spacer,
achieving
0.46
cm/s,
30.30%-22.03%
water
air.
Field
align
with
simulations.
Discussion
Findings
provide
reference
optimal
reduction
safe
construction
under
similar
conditions.
Transactions in GIS,
Journal Year:
2025,
Volume and Issue:
29(2)
Published: April 1, 2025
ABSTRACT
The
Wugongshan
area
has
undergone
complex
geological
evolution
since
Neoproterozoic,
creating
a
wealth
of
natural
relics
that
support
tourism
development,
but
also
triggering
frequent
landslides
threaten
local
sustainability.
However,
the
primary
factors
remain
unclear.
Based
on
692
historical
in
this
area,
eight
potentially
related
to
were
selected
for
susceptibility
assessment,
including
elevation,
slope,
aspect,
lithology,
distance
fault,
water
system,
transportation
and
Normalized
Difference
Vegetation
Index.
They
are
then
applied
with
information
quantity
model
value‐logistic
regression
coupled
model,
respectively,
assess
generate
risk
zoning
maps
ArcGIS
platform.
accuracy
values
two
models
0.787
0.786,
suggesting
reliable
assessment
result.
validation
results
suggest
is
better
at
dealing
larger
datasets
environments.
Elevation,
system
mainly
responsible
Wugongshan.
framework
developed
by
using
public
data
relevant
improving
quality
geohazard
prevention
safety
other
similar
areas
worldwide.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 4176 - 4176
Published: May 6, 2025
Landslide
hazards
on
roadbed
slopes
pose
significant
safety
risks,
leading
to
casualties,
property
losses,
and
environmental
damage.
With
the
rapid
expansion
of
global
railway
highway
construction,
slope
stability
has
become
a
critical
research
focus.
However,
systematic
reviews
prospective
studies
based
bibliometric
analysis
in
this
field
remain
limited;
such
lack
is
likely
lead
lag
theoretical
development
field.
To
address
gap,
study
analyzes
453
papers
from
2014
2023
using
Web
Science
(WOS)
core
collection
tools
like
VOSviewer,
CiteSpace,
Bibliometrix
R.
This
focuses
following:
(i)
Visualizing
trends
through
knowledge
graphs,
covering
document
quantity,
authors,
countries,
keywords.
(ii)
The
objectives,
methods,
specific
objects,
conditions
literature
are
categorized
discussed,
limitations
numerical
simulation
other
shortcomings
pointed
out.
(iii)
Future
directions,
focusing
actual
working
utilizing
advanced
flexible
subroutine
functions
simulate
complex
with
multi-physical
coupling,
discussed
ensure
accuracy
sustainability
road
construction
development.
paper
can
help
scholars
comprehensively
quickly
understand
status
hotspots
research,
view
providing
support
for
future
exploration.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(20), P. 14959 - 14959
Published: Oct. 17, 2023
As
microseismic
monitoring
technology
gains
widespread
application
in
mine
risk
pre-warning,
the
demand
for
automatic
data
processing
has
become
increasingly
evident.
One
crucial
requirement
that
emerged
is
classification
of
signals.
To
address
this,
we
propose
a
Transformer-based
method
signal
classification,
leveraging
global
feature
extraction
capability
Transformer
model.
Firstly,
original
waveform
were
framed,
windowed,
and
feature-extracted
to
obtain
16
×
matrix,
serving
as
primary
input
subsequent
models.
Then,
verified
performance
model
compared
with
five
models,
including
VGG16,
ResNet18,
ResNet34,
SVM,
KNN.
The
experimental
results
demonstrate
effectiveness
model,
which
outperforms
previous
methods
terms
accuracy,
precision,
recall,
F1
score.
In
addition,
comprehensive
analysis
was
performed
investigate
impact
model’s
parameters
importance
on
outcomes,
provides
valuable
reference
further
enhancing
performance.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(24), P. 16639 - 16639
Published: Dec. 7, 2023
Of
all
mine
disasters,
fires
are
very
threatening
to
safety
and
often
lead
the
most
serious
consequences.
Research
on
fire
prevention
technology
theory
has
experienced
significant
growth
is
attracting
escalating
academic
interest
attention.
However,
dedicated
literature
reviews
this
topic
scarce.
For
purpose
of
uncovering
research
characteristics
trends
theory,
paper
employs
bibliometric
analysis
using
Web
Science
Core
Collection
database.
This
study
presents
a
detailed
relevant
articles
published
between
2010
2022.
An
assessment
influences
journals,
countries,
institutions,
authors
was
conducted
through
citation
analysis.
Furthermore,
describes
co-authorship
networks
among
different
authors.
Lastly,
review
techniques
theories
researched
during
period
carried
out
keyword
clustering
Four
main
topics
in
were
identified:
“mine
control
technology”,
occurrence
mechanism”,
prediction
monitoring
technology”.
Additionally,
spontaneous
combustion
its
underlying
mechanisms
may
represent
potential
focus
for
future
research.
These
findings
contribute
providing
solid
foundation
endeavors
field
prevention.
Processes,
Journal Year:
2024,
Volume and Issue:
12(6), P. 1135 - 1135
Published: May 31, 2024
The
classification
of
microseismic
signals
represents
a
fundamental
preprocessing
step
in
monitoring
and
early
warning.
A
signal
source
rock
method
based
on
convolutional
neural
network
is
proposed.
First,
the
characteristic
parameters
are
extracted,
constructed
for
analysis
these
parameters;
then,
mapping
relationship
model
between
class
established.
feasibility
proposed
differentiating
acoustic
emission
under
different
load
conditions
verified
by
using
data
from
laboratory
uniaxial
compression
tests,
Brazilian
splitting
shear
tests.
In
three
distinct
experiments,
achieved
accuracy
greater
than
90%
signals.
provides
new
basis
