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
No information about this author
et al.
Spatial Information Research,
Journal Year:
2025,
Volume and Issue:
33(1)
Published: Jan. 22, 2025
Language: Английский
Lifetime assessment for container ship by multimodal Gaidai risk evaluation method
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.
Language: Английский
Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters
Oleg Gaidai,
No information about this author
Jinlu Sheng,
No information about this author
Alia Ashraf
No information about this author
et al.
Applications in Engineering Science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100209 - 100209
Published: Feb. 1, 2025
Language: Английский
Greenland Wind-Wave Bivariate Dynamics by Gaidai Natural Hazard Spatiotemporal Evaluation Approach
Oleg Gaidai,
No information about this author
Shao-Ping He,
No information about this author
Alia Ashraf
No information about this author
et al.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1357 - 1357
Published: Nov. 12, 2024
The
current
work
presents
a
case
study
for
the
state-of-the-art
multimodal
risk
assessment
approach,
which
is
especially
appropriate
environmental
wind-wave
dynamic
systems
that
are
either
directly
physically
observed
or
numerically
modeled.
High
dimensionality
of
system
and
cross-correlations
between
its
primary
dimensions
components
make
it
quite
challenging
existing
reliability
methods.
goal
this
investigation
has
been
application
novel
multivariate
hazard
methodology
to
combined
windspeed
correlated
wave-height
unfiltered/raw
dataset,
was
recorded
in
2024
by
situ
NOAA
buoy
located
southeast
offshore
Greenland.
Existing
hazard/risk
methods
mostly
limited
univariate
at
most
bivariate
systems.
It
well
known
interaction
windspeeds
corresponding
wave
heights
results
multimodal,
nonstationary,
nonlinear
with
cross-correlated
components.
Alleged
global
warming
may
represent
additional
factor/covariate,
affecting
ocean
related
dynamics.
Accurate
necessary
naval,
marine,
structures
operate
within
particular
offshore/ocean
zones
interest,
susceptible
nonstationary
weather
conditions.
Benchmarking
spatiotemporal
efficiently
extract
relevant
information
from
underlying
field
objective
work.
proposed
evaluation
presented
assist
designers
engineers
effectively
assess
structural
risks
ocean-driven
wind-wave-related
environmental/structural
key
result
lies
demonstration
methodological
superiority,
compared
popular
copula
approach.
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