Design prognostics for 4400 TEU container vessel by multi‐variate Gaidai reliability approach
Yan Zhu,
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Oleg Gaidai,
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Jinlu Sheng
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et al.
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.
Language: Английский
Multivariate spatiotemporal windspeeds prognostics across parts of Pacific Ocean using the Gaidai risk assessment approach
Shao-Ping He,
No information about this author
Oleg Gaidai,
No information about this author
Yan Zhu
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et al.
Spatial Information Research,
Journal Year:
2025,
Volume and Issue:
33(1)
Published: Jan. 22, 2025
Language: Английский
Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters
Oleg Gaidai,
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Jinlu Sheng,
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Alia Ashraf
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et al.
Applications in Engineering Science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100209 - 100209
Published: Feb. 1, 2025
Language: Английский
State-of-the-art multivariate lifetime assessment methodology for offshore renewable energy systems, utilizing novel deconvolution extrapolation scheme
Oleg Gaidai,
No information about this author
Fang Wang,
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Jinlu Sheng
No information about this author
et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 17, 2025
Green,
renewable
energy
attracts
growing
popularity
as
global
attention
shifts
toward
carbon-neutral
technologies.
One
such
viable
alternative
is
offshore
wind
power,
harvested
by
FOWTs
(Floating
Offshore
Wind
Turbines).
In
the
contemporary
business,
play
a
key
role,
generating
industrial
volumes
of
clean
electricity.
Accurate
operational
life
assessment
FOWT
structure
critical
design
and
technical
safety
concern,
since
excessive
environmental
loads
may
lead
to
structural
damage.
Utilizing
OpenFAST
(Fatigue,
Aerodynamics,
Structures
Turbulence)
aeroelastic
simulator,
nonlinear
reactions
could
be
modelled
accurately.
The
current
study
introduces
state-of-the-art
reliability
lifetime
approach,
intended
serve
designers
when
evaluating
risks,
given
in-situ
loading
patterns.
primary
benefits
recommended
approach
lie
within
its
capacity
address
dynamic
systems’
high-dimensionality,
along
with
complex
cross-correlations
between
system’s
components.
A
novel
deconvolution
extrapolation
scheme
has
been
employed
obtain
conservative
values.
advantage
above
existing
parametric
methods,
widely
used
in
studies,
non-parametric
feature,
that
increases
accuracy
forecasts.
Language: Английский
Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method
Oleg Gaidai,
No information about this author
Shao-Ping He,
No information about this author
Jinlu Sheng
No information about this author
et al.
Mechanics Based Design of Structures and Machines,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 14
Published: April 10, 2025
Language: Английский
Multimodal Gaidai State‐of‐the‐Art Limit Hypersurface Methodology for Container Vessels With Multiple Failure Modes
Yan Zhu,
No information about this author
Oleg Gaidai,
No information about this author
Shao-Ping He
No information about this author
et al.
IET Intelligent Transport Systems,
Journal Year:
2025,
Volume and Issue:
19(1)
Published: Jan. 1, 2025
ABSTRACT
This
case
study
presents
state‐of‐the‐art,
multimodal
structural
reliability
and
risk
evaluation
methodology,
particularly
suitable
for
naval
architecture,
transportation
marine
engineering
applications.
Existing
methods
do
not
easily
tackle
systems
with
a
number
of
critical
components
higher
than
2,
while
the
advocated
methodology
has
no
limitations
on
system's
dimensions,
parts
or
components.
The
4400
TEU
container
vessel's
onboard
measured
deck
panel
stresses
raw
data,
collected
during
numerous
trans‐Atlantic
crossings,
was
analysed.
Risk
ship
hull
damage
caused
by
excessive
whipping
(slamming
springing)
wave
loads,
representing
types
highly
nonlinear
wave‐induced
vibrations,
are
among
primary
safety
concerns
contemporary
industry.
It
is
often
challenging
to
accurately
forecast
hot‐spot
stresses,
possessing
complex
nonlinear,
nonstationary
properties.
proposed
hypersurface
method
fully
accounts
large
components,
as
well
dynamic
nonlinearities.
Lab
testing
may
be
disputed,
obtained
measurements
will
depend
biased
incident
properties
model
scales.
As
result,
dataset,
from
particular
cargo
ship,
operating
in
North
Atlantic
provides
especially
valuable
insights
into
an
overall
vessel
durability
reliability.
investigation
aimed
at
providing
generic
state‐of‐the‐art
enabling
accurate
extraction
pertinent
information
about
dynamics,
e.g.,
derived
sensor‐recorded
time
histories.
Utilising
failure,
hazard
risks
effectively
yet
forecasted,
based
spatially
distributed
stresses.
presented
hazards
systems,
having
virtually
unlimited
numbers
principal/key
made
use
full
scale
kindly
provided
Det
Norske
Veritas,
Oslo,
Norway
(DNV),
which
commercially
its
own.
Language: Английский
Novel design of rotary pontoon floating wind turbine reliability assessment by self-deconvolution method
Victor V. Cheboxarov,
No information about this author
Oleg Gaidai
No information about this author
Journal of Vibration and Control,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 15, 2025
As
the
offshore
wind
energy
industrial
sector
develops
dynamically
towards
its
economic
viability
targets,
it
is
important
to
continuously
improve
structural
design,
while
increasing
output
and
minimizing
operational
repair
downtime.
Large
horizontal-axis
turbines
(HAWTs)
are
already
commonplace
they
in
process
of
being
designed
on
a
larger
scale,
which
challenging.
Vertical-axis
(VAWTs),
where
tilt
axis
rotation
not
concern,
constitute
an
alternative
HAWTs
field
for
floating
design.
This
case
study
presents
hydrodynamic
loads
analysis
failure
risk
assessment
novel
cross-flow
vertical
Wind
Energy
Marine
Unit
(WEMU)
with
large
rotor
The
primary
goal
this
research
was
assess
reliability
WEMU
given
realistic
environmental
conditions.
Environmental
wave
acting
torus
semi-submersible
pontoon
during
had
been
modeled
numerically.
Subsequently,
assessed,
utilizing
state-of-the-art
self-deconvolution
extrapolation
scheme.
Reliability
prognostic
results
cross-validated
versus
existing
four-parameter
Weibull
fit
method.
To
summarize,
presented
combines
design
recently
developed
latter
can
be
practical
engineering
use
contemporary
turbine
Language: Английский