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.
Urban Planning and Transport Research,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: March 11, 2024
Contemporary
cargo
vessel
transport
constitutes
a
vital
part
of
the
global
trade
and
economy.
Thus,
it
is
primary
engineering
design
importance
to
further
develop
more
efficient
novel
risk
analysis
assessment
methods
for
large
ships.
Classical
methodsmay
not
always
have
advantages
efficiently
dealing
with
dynamic
system's
high
dimensionality
along
cross-correlations
between
various
critical
dimensions.
Current
study
benchmarks
state-of-art
Gaidai
spatiotemporal
structural
method,
suitable
multivariate
systems
versus
well-established
bivariate
method.
As
an
example,
this
study,
operating
container
has
been
selected.
The
hull
had
subjected
deck
panel
stresses
accelerations
during
cross-Atlantic
sailing.
Risks
losing
containers
are
caused
by
extreme
dynamics
being
one
concerns
transport.
methodology,
advocated
here,
opens
up
new
possibilities
predicting
efficiently,
yet
simply
potential
damage/failure
risks
nonstationary,
nonlinear,
ship
systems,
as
whole.
Note
that
method
may
be
applied
wide
range
complex
marine
offshore
systems.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102326 - 102326
Published: May 27, 2024
Current
study
advocates
novel
Gaidai
hazards
assessment
methodology
that
may
be
utilized
for
excessive
wave-heights
spatiotemporal
risk
analysis,
thus
advancing
climate
change
studies.
being
particularly
suitable
multivariate
dynamic
environmental
ocean
systems,
have
been
MC
(i.e.,
Monte
Carlo)
numerically
simulated,
either
physically
measured
across
a
representative
time
period,
resulting
in
synchronous
quasi-ergodic
timeseries.
Offshore
waves
affect
reliable
production
and
operational
safety
of
offshore
marine
structures.
presents
two
reliability
methods:
first,
state-of-the-art
methodology,
designed
multi-dimensional
to
presented
the
current
study;
second,
deconvolution
extrapolation
technique
follow.
Primary
target
accurate
system's
hazard
assessment.
Classic
methods,
dealing
with
timeseries
not
always
possess
advantages
efficiently
high
dimensionality,
along
nonlinear
cross-correlation
patterns
between
various
components.
In-situ
significant
wave-height
dataset,
different
areas,
analyzed
by
means
application
advocated
methodology.
representing
complex
highly-nonlinear,
cross-correlated
system.
Global
also
an
important
factor,
affecting
wave-heights.
purpose
had
benchmark
while
utilizing
underlying
raw
dataset.
Methods
put
forth
assessments
large
variety
dimensional
systems.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: June 22, 2024
Abstract
As
the
global
agenda
turns
more
towards
so-called
challenge
of
climate
change
and
lowering
carbon
emissions,
research
into
green,
renewable
energy
sources
becoming
nowadays
popular.
Offshore
wind
power,
produced
by
FOWTs
(i.e.,
Floating
Wind
Turbines),
is
one
such
substitute.
It
a
significant
industrial
part
contemporary
offshore
industry
produces
clean,
electricity.
Accurate
operational
lifetime
assessment
for
an
important
technical
safety
issue,
as
environmental
in
situ
loads
can
lead
to
fatigue
damage
well
extreme
structural
dynamics,
which
cause
damage.
In
this
study,
hydro
aerodynamic
loads,
that
act
on
FOWT,
given
actual
local
sea
conditions
have
been
numerically
assessed,
using
FAST
coupled
nonlinear
aero-hydro-servo-elastic
software
package.
combines
aerodynamics
hydrodynamics
models
FOWTs,
control
electrical
system
dynamics
models,
along
with
enabling
MC
simulation
real
time.
The
tool
enables
analysis
range
FOWT
configurations,
including
2-
or
3-bladed
horizontal-axis
rotor,
pitch
stall
regulation,
rigid
teetering
hub,
upwind
downwind
rotors.
relies
advanced
engineering
models—derived
from
fundamental
laws,
however
appropriate
assumptions
simplifications,
supplemented
where
applicable
experimental
data.
Recently
developed
Gaidai
reliability
method,
being
suitable
risks
evaluation
variety
sustainable
systems,
experiencing
nonlinear,
potentially
throughout
their
designed
service
life.
main
advantage
advocated
methodology
its
ability
tackle
simultaneously
large
number
dynamic
systems'
degrees
freedom,
corresponding
system's
critical
components.
Energy Informatics,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: July 2, 2024
Abstract
Floating
Production
Storage
and
Offloading
(FPSO)
unit
being
an
offshore
vessel,
storing
producing
crude
oil,
prior
to
oil
transported
by
accompanying
shuttle
tanker.
Critical
mooring/hawser
strains
during
offloading
operation
have
be
accurately
predicted,
in
order
maintain
operational
safety
reliability.
During
certain
types
of
offloading,
excessive
hawser
tensions
may
occur,
causing
risks.
Current
study
examines
FPSO
vessel’s
dynamic
reactions
hydrodynamic
wave-induced
loads,
given
realistic
situ
environmental
conditions,
utilizing
the
AQWA
software
package.
advocates
novel
multi-dimensional
spatiotemporal
risks
assessment
approach,
that
is
particularly
well
suited
for
large
dataset
analysis,
based
on
numerical
simulations
(or
measurements).
Advocated
multivariate
reliability
methodology
useful
a
variety
marine
systems
must
endure
severe
stressors
their
intended
lifespan.
Methodology,
presented
this
provides
advanced
capability
efficiently,
yet
evaluate
system
failure,
hazard
damage
risks,
representative
record
multidimensional
system’s
inter-correlated
critical
components.
Gaidai
risk
method
lifetime
methodology.
In
validate
benchmark
method,
it
was
applied
potentially
LNG
(i.e.,
Liquid
Natural
Gas)
vessels
dynamics.
Major
advantage
advocated
approach
there
are
no
existing
alternative
methods,
able
tackle
unlimited
number
dimensions.
Accurate
had
been
carried
out,
numerically
simulated
data,
partially
verified
available
laboratory
experiments.
Confidence
intervals
predicted
high-dimensional
levels.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102689 - 102689
Published: Aug. 8, 2024
Reliability
research
is
essential
since
WT
(Wind
turbines)
are
built
to
endure
high
wind
and
wave-induced
stresses.
Novel
multivariate
2D
(bivariate)
reliability
methods
presented
in
this
investigation
being
conceived
by
authors
assist
designers
accurately
assessment
of
crucial
stressors,
acting
inside
key
mechanical
parts,
such
as
gearbox
drivetrain.
Current
study
made
use
the
recently
created
modified
Weibull-type
approach.
Since
statistical
analysis
takes
into
consideration
cross-correlations
between
various
system
components,
it
more
suited
for
design
than
univariate
analysis.
To
cross-validate
10-MW
semi-submersible
type
FWT
(i.e.,
Floating
Wind
Turbine)
failure
or
damage
probability,
forecasted
Gaidai
methodology,
current
employed
Weibull
Typical
load
types
that
FWTs
related
parts
prone,
include
longitudinal,
bending,
twisting,
cyclic
Stochastic
nature
environmental
loads,
on
terms
windspeed,
direction,
shear,
vorticity
may
cause
excessive
nonlinear
structural
dynamic
effects,
hence
components
like
drivetrain
necessary.
In
dynamic,
structural,
aerodynamic,
control
aspects
had
been
modeled,
using
advanced
numerical
techniques
–
dynamics
has
modeled
utilizing
SIMPACK
(Multibody
Simulation
Method)
software.
risk
approach
provided
a
reliable
evaluation
coupled
drivetrain's
dynamics,
given
return
periods
interest.
Weakness
bivariate
highlighted,
comprehensive
solution
form
novel
method.
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
Science Talks,
Journal Year:
2024,
Volume and Issue:
10, P. 100366 - 100366
Published: May 23, 2024
Accurate
estimation
of
epidemic
outbreak
risks
at
any
given
time
horizon,
and
in
national
province
interest
for
COVID-19
(novel
coronavirus
disease,
SARS-COV-2),
a
contagious
is
practical
importance.
This
study
proposes
novel
bio
health
system's
spatiotemporal
reliability
method,
applicable
to
multi-regional
systems.
approach
enables
accurate
future
risks,
suitable
multiregional
biological
Daily
numbers
recorded
patients
two
different
countries
were
chosen
this
study.
aimed
benchmark
state-of-the-art
by
extracting
necessary
system
information
from
nationally
observed
patient
numbers,
while
taking
into
account
territorial
mapping.
Proper
confidence
bands
have
been
estimated
predicted
probability
levels.
Suggested
multivariate
methodology
may
be
used
various
public
applications,
based
on
available
situ
clinical
survey
data.
analyzed
epidemiological
dynamics,
total
daily-recorded
patients.
It
recommended
the
percentage
infected
patients,
with
respect
local
population
tested.
The
suggested
being
general
well
latter
task.