Immunity Inflammation and Disease,
Journal Year:
2024,
Volume and Issue:
12(10)
Published: Oct. 1, 2024
HIV
is
a
contagious
disease
with
reportedly
high
transmissibility,
being
spread
worldwide,
certain
mortality,
allegedly
presenting
burden
to
public
health
worldwide.
The
main
objective
of
this
study
was
determine
excessive
death
risks
at
any
time
within
region
or
country
interest.
Energy Reports,
Journal Year:
2024,
Volume and Issue:
12, P. 2346 - 2355
Published: Aug. 23, 2024
Current
study
presents
state-of-the-art
approach
for
evaluating
spatiotemporal
multivariate
environmental
risks,
especially
suitable
complex
systems
that
have
been
either
numerically
simulated
or
physically
observed.
Advocated
methodology
provides
accurate
hazard
risk
forecasts,
based
on
real-time
in
situ
data.
Design
of
offshore
structures
requires
assessment
–
and
naval
operations
require
both
short-
long-term
reliability
analyses.
Contemporary
evaluation
techniques
often
struggle
with
raw
timeseries
data
due
to
intrinsic
multidimensionality
nonlinear
interconnections
among
critical
system's
dimensions/components.
In
the
current
effectiveness
Gaidai
method
is
illustrated
by
utilizing
significant
wave
heights
dataset,
measured
within
two
zones:
Heidrun
Troll
Norwegian
oil
fields.
Analyzing
waves
being
particularly
challenging
their
complexity,
high
nonlinearity,
multidimensionality,
yet
dynamic
inter-correlations.
Global
warming
several
factors,
affecting
ocean
sea
heights.
For
naval,
marine
operating
harsh
weather
conditions,
robust
methods
crucial
design
safe
operations.
aims
validate
benchmark
methodology,
enabling
extraction.
allows
efficient
global
damages,
failures
risks
a
wide
range
energy
systems.
Primary
advantage
presented
lies
its
ability
treat
practically
unlimited
number
dimensions,
while
existing
mostly
limited
univariate
bivariate
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.
Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems,
Journal Year:
2024,
Volume and Issue:
8(2)
Published: Aug. 30, 2024
Abstract
Renewable
clean
energy
in
some
cases
may
be
viewed
as
an
alternative
to
limited
fossil
resources.
Offshore
floating
wind
turbines
(FWTs)
are
among
the
most
attractive
green
alternatives.
However,
FWTs,
particular
their
essential
components,
sustain
structural
damages
from
cyclic
loads
brought
on
by
torque,
bending,
longitudinal
loadings,
well
twisting
moments.
Multibody
simulation
tool
SIMPACK
was
utilized
assess
bending
moments
and
internal
forces
occurring
within
FWT
drivetrain
during
its
field
operation.
The
novel
risk
damage
evaluation
method
advocated
current
study
is
intended
serve
contemporary
design,
enabling
accurate
assessments
of
lifespan
distribution,
given
situ
environmental/field
conditions.
approach
described
analyze
complex
multidimensional
sustainable
systems,
subjected
excessive
stressors
service
life.
Contemporary
approaches,
dealing
with
systems
not
always
well-suited
for
handling
dynamic
system's
high
dimensionality,
aggravated
nonlinear
cross-correlations
between
nonstationary
loadings.
advocates
a
general-purpose
lifetime
assessment
methodology,
having
wide
area
potential
engineering
design
applications,
offshore
wind/wave
renewable
systems.
Key
advantages
methodology
lie
robust
ability
risks
environmental
virtually
unlimited
number
system
components
(dimensions),
along
further
incorporate
real
time.
Note
that
author's
knowledge,
there
no
comparable
methods
can
deal
utilizing
raw/unfiltered
simulated/measured
datasets,
beyond
one
or
two-dimensional
systems—except
computationally
expensive
direct
Monte
Carlo
(MC)
simulations.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: Oct. 7, 2024
The
current
study
outlines
a
novel
multimodal
structural
reliability
methodology,
suitable
for
naval
dynamic
systems,
that
are
either
numerically
simulated,
or
directly
physically
measured.
Cross-correlations
between
the
system's
principal/key
dimensions/components,
along
with
high
dimensionality
of
complex
not
easily
addressed
by
existing
methods,
mostly
univariate
bivariate.
objective
this
had
been
to
apply
reliability/hazard
assessment
methodology
UIKKU
chemical
tanker
onboard
measurements
demonstrate
efficiency
proposed
methodology.
Current
investigation
utilized
measured
ice
loadings,
exerted
on
hull
and
propulsion
devices
during
its
Arctic
voyage.
Onboard
data
recordings
then
were
interpreted
gain
knowledge
about
load
levels.
instrumented
so
ice-induced
loads/stresses
vessel
shell
plating
monitored
at
various
key
locations,
both
in
longitudinal
as
well
vertical
directions,
vessel's
hull.
Longitudinal
bending
stresses
several
locations
accelerations
analyze
global
behaviour
when
colliding
e.g.,
moderately
heavy
ridges.
In
addition
onboard,
Russian
partners
icebreaker
Capitan
Dranitsyn
real-time
measure
strains/stresses
within
belt
grillage,
located
bow.
Icebreaker
acted
escort
whole
Obtained
results
may
be
harmonize
IACS
Polar
ship
rules.
study,
measuring
system
results,
voyage
have
briefly
represented.
ASME Open Journal of Engineering,
Journal Year:
2024,
Volume and Issue:
3
Published: Jan. 1, 2024
Abstract
The
current
study
advances
research
on
the
consequences
of
global
climate
change
by
utilizing
novel
Gaidai
multivariate
risks
evaluation
methodology
to
conduct
spatiotemporal
analysis
areal
windspeeds.
Multidimensional
structural
and
environmental
dynamic
systems
that
have
been
either
physically
observed
or
numerically
simulated
over
a
representative
time-lapse
are
particularly
suitable
for
methodology.
Current
also
presents
non-parametric
deconvolution
extrapolation
method.
As
this
has
shown,
given
in
situ
input,
it
is
possible
accurately
predict
system
hazard
risks,
based
even
limited
underlying
dataset.
Furthermore,
because
their
complex
nonlinear
cross-correlations
between
various
system-critical
dimensions
components
large
dimensionality,
difficult
handle
using
traditional
methods
evaluating
risks.
In
North
Pacific,
close
Hawaiian
Islands,
NOAA
buoys
gathered
raw
wind
speed
data,
which
utilized
study.
Areal
ocean
speeds
constitute
quite
challenging
analyze
its
nonlinear,
multidimensional,
cross-correlated
nature.
Global
warming
had
impacts
windspeeds
recent
decade.
Developing
state-of-the-art
risk
principal
component
modern
offshore
light
adverse
weather.
advocated
risk/hazard
assessment
approach
may
be
used
resilient
island
cities
design,
especially
those
near
shore
hence
exposed
extreme