Neural Network Approach for Fatigue Crack Prediction in Asphalt Pavements Using Falling Weight Deflectometer Data
Applied Sciences,
Год журнала:
2025,
Номер
15(7), С. 3799 - 3799
Опубликована: Март 31, 2025
Fatigue
cracking
is
a
major
issue
in
asphalt
pavements,
reducing
their
lifespan
and
increasing
maintenance
costs.
This
study
develops
an
artificial
neural
network
(ANN)
model
to
predict
the
onset
progression
of
fatigue
cracking.
The
calibrated
utilizing
Falling
Weight
Deflectometer
(FWD)
testing
data,
alongside
essential
pavement
characteristics
such
as
layer
thickness,
air
void
percentage,
binder
proportion,
traffic
loads
(Equivalent
Single
Axle
Loads
or
ESALs),
mean
annual
temperature.
By
analyzing
these
factors,
ANN
captures
complex
relationships
influencing
more
effectively
than
traditional
methods.
A
comprehensive
dataset
from
Long-Term
Pavement
Performance
(LTPP)
program
used
for
training
validation.
ANN’s
ability
adapt
recognize
patterns
enhances
its
predictive
accuracy,
allowing
reliable
condition
assessments.
Model
performance
evaluated
against
real-world
confirming
effectiveness
predicting
with
overall
R2
0.9.
study’s
findings
provide
valuable
insights
rehabilitation
planning,
helping
transportation
agencies
optimize
repair
schedules
reduce
research
highlights
growing
role
AI
engineering,
demonstrating
how
machine
learning
can
improve
infrastructure
management.
integrating
ANN-based
analytics,
road
enhance
decision-making,
leading
durable
cost-effective
systems
future.
Язык: Английский
High-Efficiency Coil Design for Wireless Power Transfer: Mitigating Misalignment Challenges in Transportation
Energy,
Год журнала:
2025,
Номер
unknown, С. 135929 - 135929
Опубликована: Апрель 1, 2025
Язык: Английский
Recent Developments in Application of Nanofibers
Processes,
Год журнала:
2024,
Номер
12(9), С. 1894 - 1894
Опубликована: Сен. 4, 2024
Technological
advancements
in
nanofibers
and
production
technologies
have
led
to
being
applied
various
applications.
Nanofibers
are
produced
by
a
variety
of
techniques
such
as
electrospinning,
drawing,
self-assembly,
phase
separation,
others.
Electrospinning
is
widely
used
due
its
versatility
scalability.
Nanofiber
other
still
limited
the
laboratory
scale,
hence
dominance
electrospinning.
The
has
seen
them
applications
health,
protection,
clothing,
filtration,
packaging,
electronics.
Their
large
surface
area,
small
diameters,
porous
structures
make
good
materials
these
diverse
fields.
incorporated
with
nanoparticles
enhance
stability.
In
biomedical
applications,
drug
delivery
systems,
wound
healing,
tissue
engineering
because
their
biocompatibility
biodegradability.
fields
like
porosity,
flexibility.
These
properties
also
highly
effective
where
size
area
allow
efficiently
remove
significant
number
contaminants.
Additionally,
utilized
flexible
electronics,
enhancing
comfort
wearable
devices.
Biopolymers
adopted
address
environmental
health
concerns
traditional
nanofiber
materials.
biodegradable
biocompatible;
however,
stability
can
be
affected
conditions.
This
work
highlights
nanofibers,
especially
environmentally
friendly
water
treatment,
technical
textiles.
Язык: Английский
Flexible RF to DC Converter for Wireless Power Transfer in NFC and Biomedical Systems
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS),
Год журнала:
2024,
Номер
unknown, С. 1 - 4
Опубликована: Июнь 30, 2024
Язык: Английский
Research on parameter deviation modelling of dual LCC wireless power transfer system
Journal of Physics Conference Series,
Год журнала:
2024,
Номер
2853(1), С. 012001 - 012001
Опубликована: Окт. 1, 2024
Abstract
In
this
paper,
parameter
deviation
modelling
analysis
is
performed
based
on
the
dual
LCC
compensation
network
of
wireless
power
transfer
(WPT)
system.
Firstly,
mutual
inductive
coupling
model
circuit
derived
fundamental
wave
method;
secondly,
introduced
into
for
errors
existing
in
and
capacitive
components
actual
charging
system,
relation
between
amplitude
branch
currents,
phase
angle
output
characteristics
system
are
obtained
through
establishment
derivation
resistive
correction
term
introduced;
finally,
verified
simulation.
The
increases
accuracy
whole
provides
theoretical
basis
to
reduce
negative
influence
transmission
characteristics.
value
can
be
inverted
angle,
thus
providing
a
adjusting
resonant
state
circuit.
Язык: Английский