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.
International Journal of Structural Integrity,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Purpose
As
a
clean
and
renewable
energy
source,
wind
will
become
one
of
the
main
sources
new
supply
in
future.
Relying
on
stable
strong
resources
at
sea,
has
great
potential
to
primary
energy.
critical
part
turbine,
gearbox
turbine
often
bears
large
external
load.
Especially
due
effects
ocean
corrosion,
waves
wind,
burden
is
greater,
which
brings
challenges
its
reliability
analysis.
This
study
aims
systematically
review
research
gearboxes
guide
future
directions
challenges.
Design/methodology/approach
reviews
some
design
requirements
analysis
methods
for
gearboxes.
Then,
it
summarizes
previous
studies
load
uncertainty
modeling
methods,
including
processing
measurement
data
summary
three
different
classifications
random
speed
prediction
models.
Finally,
existing
two
major
parts
are
described
summarized.
Findings
First,
basic
knowledge
their
introduced.
The
explained.
models
detail.
Furthermore,
common
gearboxes,
gears
bearings,
summarized
classified,
bearing
failure
modes.
possible
discussed,
namely,
under
influence
multiple
factors
gears,
damage
indicators
modes
quantitative
evaluation
criteria
overall
dynamic
characteristics
offshore
also
given.
Originality/value
paper
introduce
relevant
contents
processing,
predictive
components
comprehensively
reviewed,
classification
principle
introduction
these
contents.