This
study
addresses
pipeline
failure,
a
critical
issue
primarily
attributed
to
corrosion,
with
far-reaching
consequences
in
social,
economic,
and
environmental
domains.
Traditional
assessment
methods,
while
simple
fast,
often
yield
conservative
results.
Existing
approaches
typically
overlook
inherent
uncertainties
failure
pressure
prediction,
emphasizing
safety
factors.
research
focuses
on
the
probability
of
complex
corrosion
profiles
characterized
by
river-bottom
(RBPs),
aiming
bridge
gap
literature.
The
employs
traditional
Monte
Carlo
(MC)
an
proposed
modified
first-order
reliability
method
(FORM)
assess
intricate
defects,
utilizing
Effective
Area
within
function.
To
manage
computational
demands,
FORM
is
favored
for
its
efficiency
requiring
fewer
evaluations.
Despite
challenges
gradient
computation
using
Level-2
methods
like
Area,
novel
procedure
efficiently
accurately
determining
FP
gradients
algorithm.
Results
show
that
converges
15
iterations
all
11
cases,
presenting
rapid
precise
alternative
Level-1
methods.
approach
offers
valuable
contribution
computing
as
demonstrated
this
comparative
purposes.
