Effect of Geometric Characteristics of Helical Piles on the Lateral Displacement in Sandy Slopes by Loading Surcharge
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 103896 - 103896
Опубликована: Янв. 1, 2025
Язык: Английский
Reliability analysis of soil slopes stabilized with piles under rainfall
Journal of Rock Mechanics and Geotechnical Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Experimental and Reliability Study of Nano-Silica Stabilized Problematic Soil in Lesser Himalayan Region
Geotechnical and Geological Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 3, 2024
Язык: Английский
STABILITY ASSESSMENT OF ROOT-REINFORCED SLOPES USING FINITE ELEMENT LIMIT ANALYSIS
Jurnal PenSil,
Год журнала:
2024,
Номер
13(2), С. 158 - 168
Опубликована: Май 29, 2024
Slope
instability
poses
serious
threats
to
infrastructure
and
environmental
sustainability.
As
a
result,
numerous
reinforcement
techniques
have
been
used
as
disaster
mitigation
attempts
prevent
slope
failure.
Among
various
traditional
methods,
the
use
of
vegetion
root
is
more
cost-effective
environmentally
friendly.
This
paper
presents
stability
assessment
root-reinforced
slopes.
Firstly,
models
were
built
for
case
bare
The
angles
varied
in
range
15º
~
55
º.
cohesion
depth
zone
adjusted
within
ranges
0
20
kPa
~1.5
m,
respectively.
strength
reduction
finite
element
limit
analysis
method
was
applied
evaluate
slopes
this
study.
results
indicate
that
factor
safety
increases
with
increasing
zone.
best
obtained
1.5
Shear
dissipation
contours
also
show
reduces
shear
energy
along
failure
surface,
consequently
lowering
possibility
Язык: Английский
Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method
Applied Sciences,
Год журнала:
2024,
Номер
14(22), С. 10527 - 10527
Опубликована: Ноя. 15, 2024
It
is
often
difficult
for
a
structural
safety
design
method
based
on
deterministic
analysis
to
fully
and
reasonably
reflect
the
randomness
of
mechanical
parameters,
while
traditional
reliability
has
large
calculation
cost
low
accuracy.
In
this
paper,
seepage–stress
coupling
numerical
model,
random
variables
affecting
collaborative
bearing
surrounding
rock
lining
structures
are
successfully
identified.
Then,
improved
sparrow
search
algorithm
(ISSA)
used
optimize
hyper-parameters
Kriging
surrogate
in
order
improve
computational
efficiency
accuracy
model.
Finally,
ISSA-Kriging-MCS
model
quantitatively
evaluate
rock-reinforced
concrete
structure
under
multiple
failure
modes,
sensitivity
each
variable
discussed
depth.
The
results
show
that
high-pressure
tunnel
high
reliability.
indexes
mode
decrease
with
increase
coefficient
variation
(COV)
variables.
addition,
same
also
exhibits
varying
degrees
influence
different
modes.
Язык: Английский