Deleted Journal,
Journal Year:
2025,
Volume and Issue:
2(1)
Published: Jan. 6, 2025
This
study
presents
a
novel
lifetime
assessment
technique
that
may
be
used
in
cargo
vessel
transportation
marine
engineering
applications.
onboard
measured
4400
TEU
container
ship
panel
stress
data
was
analyzed,
the
during
numerous
trans-Atlantic
crossings.
The
risk
of
loss
caused
by
excessive
whipping
loads
is
one
key
issues
with
transportation.
It
challenging
to
predict
accuracy
deck
stresses
due
complex
nonlinear
and
nonstationary
properties
wave
motions.
2nd
higher
order
motion
effects
are
typically
observed
when
sailing
severe,
stormy
environment,
influence
nonlinearity
grows
noticeably.
Depending
on
flow
characteristics
similarity
ratios
employed,
laboratory
testing
also
dispute.
Because
this,
information
acquired
from
ships
operating
extreme
weather
conditions
offers
unique
insight
into
risks
evaluation,
as
whole.
highlights
multidimensional
reliability
approach,
based
inherent
qualities
multivariate
raw
underlying
dataset
itself.
main
objective
current
had
been
benchmark
Gaidai
using
areal
pressure
dynamic
system
dataset.
evaluation
methodology
enabled
efficient
failure,
hazard
or
damage
for
variety
non-linear
hull
systems.
Journal of low frequency noise, vibration and active control,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 22, 2024
Development
of
novel
risk
and
reliability
assessment
methods
is
intended
to
support
safer
construction
offshore
structures,
subjected
environmental
wave
loads.
Current
study
investigated
10-MW
FWT
(i.e.,
Floating
Wind
Turbine),
operating
under
realistic
conditions.
While
increasing
safety,
enhanced
may
eventually
help
reduce
manufacturing
maintenance
costs.
Excessive
structural
dynamics
being
usually
caused
by
stressors,
acting
on
system.
Environmental
loads
resulting
from
ambient
wind
motions
are
typical
for
structures.
work
advocates
a
methodology
that
allows
reliable
forecasting
failure/damage
risks,
arising
excessive
dynamics.
Recently
developed
Gaidai
multivariate
along
with
state-of-the-art
deconvolution
method
had
been
employed.
Unlike
existing
approaches
such
as
Weibull-type,
GP
Generalized
Pareto),
POT
Peaks
Over
the
Threshold),
etc.,
recommended
does
not
rely
any
pre-assumed
functional
class,
when
extrapolating
failure
probability
tail.
Practical
advantages
suggested
combined
scheme
over,
is,
4-parameter
Weibull’s
extrapolation
demonstrated.
Suggested
makes
effective
use
even
limited
underlying
datasets,
enabling
robust
accurate
projections
multidimensional
system
risks.
Overall
methodological
performance
suggests
numerically
stable
extreme
forecasts
bending
moments
might
be
obtained,
utilizing
methodology.
Deconvolution
approach
more
than
parametric
techniques,
due
its
non-parametric
nature.
IET Intelligent Transport Systems,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: Jan. 1, 2025
Abstract
This
case
study
introduces
an
innovative
multivariate
methodology
for
assessing
the
lifetime
of
marine
engineering
systems,
specifically
in
cargo
vessel
transportation.
The
analysis
focused
on
stress
data
collected
onboard
a
4400
TEU
container
during
multiple
trans‐Atlantic
voyages.
One
major
challenges
transport
lies
mitigating
risk
loss
due
to
excessive
whipping
loads.
Accurate
prediction
extreme
levels
deck
panels
remains
difficult,
primarily
because
nonlinear
and
non‐stationary
nature
wave
ship
motion
interactions.
Higher‐order
dynamic
effects,
such
as
second‐
third‐order
responses,
often
become
significant
when
ships
operate
under
adverse
environmental
conditions,
amplifying
influences.
Laboratory
simulations,
constrained
by
characteristics
scale
similarity
issues,
may
not
always
provide
reliable
results.
Consequently,
from
vessels
navigating
weather
conditions
serves
critical
resource
comprehensive
assessment.
primary
goal
this
was
validate
demonstrate
effectiveness
novel
evaluation
approach,
leveraging
measurements
areal
pressure
core
dataset.
Gaidai
proved
be
robust
tool
failure,
hazard,
damage
risks
complex,
panel
hull
systems.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
2(1)
Published: Jan. 6, 2025
This
study
presents
a
novel
lifetime
assessment
technique
that
may
be
used
in
cargo
vessel
transportation
marine
engineering
applications.
onboard
measured
4400
TEU
container
ship
panel
stress
data
was
analyzed,
the
during
numerous
trans-Atlantic
crossings.
The
risk
of
loss
caused
by
excessive
whipping
loads
is
one
key
issues
with
transportation.
It
challenging
to
predict
accuracy
deck
stresses
due
complex
nonlinear
and
nonstationary
properties
wave
motions.
2nd
higher
order
motion
effects
are
typically
observed
when
sailing
severe,
stormy
environment,
influence
nonlinearity
grows
noticeably.
Depending
on
flow
characteristics
similarity
ratios
employed,
laboratory
testing
also
dispute.
Because
this,
information
acquired
from
ships
operating
extreme
weather
conditions
offers
unique
insight
into
risks
evaluation,
as
whole.
highlights
multidimensional
reliability
approach,
based
inherent
qualities
multivariate
raw
underlying
dataset
itself.
main
objective
current
had
been
benchmark
Gaidai
using
areal
pressure
dynamic
system
dataset.
evaluation
methodology
enabled
efficient
failure,
hazard
or
damage
for
variety
non-linear
hull
systems.
