Arabian Journal for Science and Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 8, 2024
Abstract
Embankment
dams
have
many
advantages;
however,
they
frequently
develop
seepage
problems
which
may
cause
dams’
failure.
In
this
study,
comparison
analysis
of
through
embankment
was
conducted
using
three
different
methods,
namely
experimental
tests,
mathematical
calculations
and
numerical
modeling.
Three
homogeneous
dam
models
with
downstream
drainage
filters
were
considered.
Results
revealed
that
SEEP/W
model
is
inappropriate
to
compute
the
water
flow
volume
if
there
an
intersection
between
line
slope
due
appearance
pipes.
Numerical
modeling
based
on
software
found
be
compatible
rest
physical
models.
The
findings
also
demonstrated
for
all
scenarios,
both
Casagrande
equations
produced
lines
closely
matched
observed
lines.
These
results
highlight
significance
managing
line’s
location
ensure
stability
implementation
horizontal
drains.
Open Geosciences,
Journal Year:
2024,
Volume and Issue:
16(1)
Published: Jan. 1, 2024
Abstract
Recent
metaheuristic
approaches
are
extensively
and
intensively
being
implemented
to
the
interpretation
of
gravity
anomalies
due
their
superior
advantages.
We
emphasize
application
Hunger
Games
Search
(HGS),
a
newly
established
inspired
by
hunger-driven
instincts
behavioral
choices
animals,
elucidate
data
for
geothermal
energy
exploration
volcanic
activity
study.
After
recognizing
modal
features
objective
function
tailored
tuning
algorithm
control
parameters
involved,
HGS
has
been
trial-tested
on
simulated
sets
different
scenarios
finally
experienced
in
two
field
cases
from
India
Japan.
Notably,
second
moving
average
strategy
successfully
integrated
into
eradicate
regional
component
observed
responses.
Post-inversion
uncertainty
appraisal
tests
have
further
comprehend
reliability
solutions
obtained.
The
retrieved
unbiasedly
compared
terms
convergence
rate,
accuracy,
stability,
robustness
with
commonly
used
particle
swarm
optimization
algorithm.
Based
results
accessed,
theoretical
presented
could
be
recuperated
more
precisely,
stably,
robustly,
coherently
available
geophysical,
geological,
borehole
verification,
as
is
able
better
explore
model
space
without
compromising
its
capability
efficiently
approach
global
minimum.
This
novel
method
can
thus
considered
promising
tool
investigations
study
activities.
International Journal on Smart Sensing and Intelligent Systems,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: April 1, 2024
Abstract
Deep
learning
has
changed
the
approach
of
urban
environmental
risk
assessment
and
management.
These
methods
enable
solid
models
for
large
data
sets,
enabling
early
identification,
prediction,
description
risks.
The
current
work
analyses
advances
in
deep
hazard
assessments
disaster
studies
to
provide
monitoring,
management,
mitigation
measures.
It
reports
improvement
self-supervised
learning,
transformer
architectures,
persistent
attention
mechanisms,
adversarial
robustness,
associated
meta-learning,
multimodal
within
domain
analysis.
approaches
allow
creation
robust
handling
vast
volumes,
facilitating
detection,
characterisation
diverse
threats.
This
trends
analysis
applications
will
bring
insights
connecting
deep-learning
effective
proactive
tackle
hazards
disasters.
Arabian Journal for Science and Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 8, 2024
Abstract
Embankment
dams
have
many
advantages;
however,
they
frequently
develop
seepage
problems
which
may
cause
dams’
failure.
In
this
study,
comparison
analysis
of
through
embankment
was
conducted
using
three
different
methods,
namely
experimental
tests,
mathematical
calculations
and
numerical
modeling.
Three
homogeneous
dam
models
with
downstream
drainage
filters
were
considered.
Results
revealed
that
SEEP/W
model
is
inappropriate
to
compute
the
water
flow
volume
if
there
an
intersection
between
line
slope
due
appearance
pipes.
Numerical
modeling
based
on
software
found
be
compatible
rest
physical
models.
The
findings
also
demonstrated
for
all
scenarios,
both
Casagrande
equations
produced
lines
closely
matched
observed
lines.
These
results
highlight
significance
managing
line’s
location
ensure
stability
implementation
horizontal
drains.
