A deep learning-based adaptive denoising approach for fine identification of rock microcracks from noisy strain data
Shuai Zhao,
No information about this author
Divya Siya Mu,
No information about this author
Dao-Yuan Tan
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et al.
Engineering Applications of Artificial Intelligence,
Journal Year:
2025,
Volume and Issue:
148, P. 110471 - 110471
Published: March 11, 2025
Language: Английский
Monitoring Excavation-Induced Deformation of a Secant Pile Wall Using Distributed Fiber Optic Sensors
Chengyu Hong,
No information about this author
Chengkai Xu,
No information about this author
Weibin Chen
No information about this author
et al.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(1), P. 254 - 254
Published: Jan. 4, 2025
This
paper
investigates
the
use
of
BOTDA
(Brillouin
Optical
Time-Domain
Analysis)
technology
to
monitor
a
large-scale
bored
pile
wall
in
field.
Distributed
fiber
optic
sensors
(DFOSs)
were
deployed
measure
internal
temperature
and
strain
changes
during
cement
grouting,
hardening,
excavation-induced
deformation
secant
wall.
The
study
details
geological
conditions
DFOS
installation
process.
During
increased
by
approximately
69
°C
due
hydration
30
min
post-grouting,
while
decreased
0.5%
on
average
slurry
shrinkage.
excavation,
minimal,
but
excavation
depth
significantly
influenced
distribution,
with
continuous
compressive
observed
two
monitored
boreholes.
Two
analytical
methods,
numerical
integration
method
(NIM)
finite
difference
(FDM),
used
calculate
lateral
displacement
based
data.
results
compared
previous
monitoring
data,
showing
that
was
minimal
after
attributed
high
stiffness
demonstrates
effectiveness
DFOSs
for
complex
behaviors
construction.
Language: Английский
Impact of plane strain state on the long-term cyclic behavior of sand under true triaxial tests
Transportation Geotechnics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101512 - 101512
Published: Feb. 1, 2025
Language: Английский
Shape properties validation of virtual 3D particles created from AIMS 2D images for railway ballast DEM modeling
Granular Matter,
Journal Year:
2025,
Volume and Issue:
27(3)
Published: April 24, 2025
Language: Английский
Research on Vertical Bearing Characteristics of Single Pile in Complex Interactive Karst Area
Buildings,
Journal Year:
2025,
Volume and Issue:
15(9), P. 1530 - 1530
Published: May 2, 2025
This
study
investigates
the
vertical
bearing
characteristics
of
single-pile
foundations
in
complex
karst
areas,
focusing
on
influence
underlying
cavities,
eccentric
and
beaded
cavities.
Using
both
indoor
model
tests
numerical
simulations
with
ABAQUS/CAE
2020,
load–settlement
behavior,
pile
axial
force,
side
friction
distribution
under
these
conditions
are
explored.
The
results
reveal
that
presence
cavities
(eccentricity
2.5
d)
significantly
enhances
ultimate
capacity
by
53%
compared
to
concentric
In
contrast,
reduce
12%
due
increased
instability
larger
settlements.
also
examines
effects
backfilling
characteristics,
finding
increases
111.8%
prevents
shear
failure
cavity
roof.
Backfilling
improves
stability
reducing
top
settlement
increasing
4.5%.
novelty
this
research
lies
comprehensive
consideration
which
often
overlooked
existing
studies.
These
findings
provide
valuable
insights
for
design
regions,
offering
practical
guidance
how
mitigate
adverse
optimize
foundation
stability.
Language: Английский
Artificial intelligence for computational granular media
Computers and Geotechnics,
Journal Year:
2025,
Volume and Issue:
185, P. 107310 - 107310
Published: May 7, 2025
Experimental Study on the Vertical Bearing Characteristic Model of Pile Groups in Complex Interactive Karst Pile Foundations
Xinquan Wang,
No information about this author
Yue Tian,
No information about this author
Haibo Hu
No information about this author
et al.
Buildings,
Journal Year:
2025,
Volume and Issue:
15(11), P. 1772 - 1772
Published: May 22, 2025
In
order
to
study
the
bearing
characteristics
of
pile
groups
under
coupling
multiple
caves,
influence
interaction
between
crossing
cave,
underlying
inclined
pile-side
and
cave
on
ultimate
capacity,
axial
force,
lateral
friction,
load
sharing
ratio
group
was
analyzed
based
model
test.
The
research
results
show
following:
(1)
Due
existence
Q-S
curves
are
all
steep
drop
types,
they
end-bearing
piles.
other
caves
is
not
obvious;
beaded
lower
upper
will
reduce
capacity
group.
reduction
in
7.38%,
4.94%
for
2.59%
2.27%
0.74%
cave.
(2)
When
body
passes
through
force
changes
slightly
overburden
layer,
greatly
limestone
remains
unchanged
cave;
same
level,
close
smaller
than
that
farther
away.
(3)
Under
friction
foundation
shows
a
decreasing
trend
sand
layer
layer.
inside
small.
After
entering
lime
increases
sharply.
approximately
0
within
range.
passing
(4)
do
affect
position
peak
point
foundation.
makes
increase
at
exit
larger
(5)
proportion
end
resistance
by
6.95%,
4.23%,
0.94%,
0.77%,
0.62%,
respectively.
(6)
This
systematically
differences
degree
different
types
(including
caves)
foundations
condition
caves.
It
found
>
which
provides
priority
decision-making
basis
optimal
design
treatment
schemes
engineering
practice.
Language: Английский