Mechanics of Advanced Materials and Structures,
Год журнала:
2024,
Номер
unknown, С. 1 - 12
Опубликована: Дек. 31, 2024
The
expansion-tearing
tube
structure
not
only
achieves
continuous
and
stable
energy
absorption
over
a
long
stroke
but
also
rapidly
dissipates
under
high-impact
loads,
ensuring
optimal
performance.
Due
to
its
unique
structural
characteristics
superior
mechanical
properties,
this
design
provides
valuable
insights
for
developing
energy-absorbing
structures
in
vehicles,
trains,
aircraft.
In
study,
multi-stage
cooperative
optimization
algorithm,
integrating
multi-objective
multi-criteria
decision-making
theories,
is
proposed
address
the
selection
of
structure.
Finite
element
modeling
conducted,
model's
validity
verified
through
experimental
data.
Subsequently,
crashworthiness
sensitivity
analysis
structure's
parameters
performed.
Based
on
are
further
refined,
configuration
identified.
results
demonstrate
that
optimized
obtained
algorithm
highly
reliable,
with
significant
improvements
overall
crash
performance
Applied Sciences,
Год журнала:
2025,
Номер
15(9), С. 5008 - 5008
Опубликована: Апрель 30, 2025
Freshwater
scarcity
demands
innovative
solutions,
and
Atmospheric
Water
Generation
(AWG)
technology
offers
a
promising
approach.
This
study
applies
data-driven
optimization
methodology
to
enhance
AWG
efficiency
by
improving
condensation
surface
design
using
Triply
Periodic
Minimal
Surface
(TPMS)
structures.
Five
TPMS
types
(Gyroid,
Diamond,
Lidinoid,
SplitP,
Schwartz)
were
evaluated
thermal
simulations
in
nTop,
regression-based
predictive
model
was
developed
assess
the
impact
of
lattice
thickness
cell
size
on
area
volume
ratio
(SA/VS)
temperature
difference
(ΔT).
A
multi-objective
approach,
incorporating
sensitivity-weighted
desirability
analysis,
identified
optimal
parameters
under
varying
performance
priorities.
Results
show
Schwartz
exhibits
highest
tunability,
with
both
factors
significantly
influencing
its
performance,
while
other
are
primarily
governed
thickness.
By
integrating
regression
modeling,
optimization,
sensitivity
this
provides
systematic
framework
for
design,
offering
scalable
insights
management
moisture
collection
sustainable
water
harvesting
applications.
