Optimizing flexural strength of RC beams with recycled aggregates and CFRP using machine learning models
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Ноя. 19, 2024
This
paper
investigates
the
flexural
bearing
behavior
of
reinforced
concrete
beams
through
experimental
analysis
and
advanced
machine
learning
predictive
models.
The
primary
problem
centers
around
understanding
how
varying
compositions
construction
materials,
particularly
inclusion
recycled
aggregates
carbon
fiber-reinforced
polymer
(CFRP),
affect
structural
performance
beams.
Eight
beams,
including
those
with
natural
aggregates,
fly
ash,
CFRP,
were
tested.
study
employs
state-of-the-art
frameworks,
Random
Forest
Regressor
(RFR),
XGBoost
(XGB),
LightGBM
(LGBM).
formation
these
models
involved
data
acquisition
from
experiments,
preprocessing
key
input
features
(such
as
rebars
area,
cement
portion,
aggregate
masses,
silica
fume,
compressive
strength,
CFRP
presence),
model
selection,
hyperparameter
tuning
using
Pareto
optimization.
then
evaluated
metrics
like
Mean
Squared
Error
(MSE),
Absolute
(MAE),
coefficient
determination
(R2).
Outputs
focus
on
load-induced
deflection
mid-span
displacement.
With
a
dataset
4851
samples,
optimized
demonstrated
excellent
performance.
results
revealed
substantial
enhancements
in
both
strength
load-bearing
capacity,
notably
observed
incorporating
70%
10%
fume.
These
exhibited
remarkable
increase
up
to
53.03%
7%
boost
capacity
compared
without
aggregate.
By
integrating
computational
techniques,
this
advances
eco-friendly
materials
their
performance,
shedding
light
intricate
interactions
between
sustainable
Язык: Английский
Comprehensive Parametric Study of Hammer Impact in Pile Driving Based on a General Analytical Dynamic Model
Iranian Journal of Science and Technology Transactions of Mechanical Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 18, 2025
Язык: Английский
Pile Foundation Engineering in Vietnam: An Overview of Recent Advancements
Lecture notes in civil engineering,
Год журнала:
2025,
Номер
unknown, С. 447 - 454
Опубликована: Янв. 1, 2025
Язык: Английский
Sustainable foundation design: Hybrid TLBO-XGB model with confidence interval enhanced load–displacement prediction for PGPN piles
Advanced Engineering Informatics,
Год журнала:
2025,
Номер
65, С. 103288 - 103288
Опубликована: Апрель 6, 2025
Язык: Английский
Buckling analysis of laminated multiphase composite plates under in-plane loading using data-driven soft computing
Engineering Analysis with Boundary Elements,
Год журнала:
2025,
Номер
176, С. 106227 - 106227
Опубликована: Апрель 10, 2025
Язык: Английский
Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 25, 2025
Язык: Английский
Hybrid machine learning for predicting hydration heat in pipe-cooled mass concrete structures
Construction and Building Materials,
Год журнала:
2025,
Номер
481, С. 141558 - 141558
Опубликована: Май 5, 2025
Язык: Английский
Enhancing Sustainability of Building Foundations with Efficient Open-End Pile Optimization
Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6880 - 6880
Опубликована: Авг. 10, 2024
Optimizing
open-end
piles
is
crucial
for
sustainability
as
it
minimizes
material
consumption
and
reduces
environmental
impact.
By
improving
construction
efficiency,
less
steel
needed,
reducing
the
carbon
footprint
associated
with
production
transportation.
Improved
pile
performance
also
results
in
more
durable
structures
that
require
frequent
replacement
maintenance,
which
turn
saves
resources
energy.
This
paper
presents
a
parametric
study
on
optimal
designs
open-ended
sand,
presenting
novel
approach
to
directly
compute
using
CPT
results.
It
addresses
challenges
posed
by
soil
variability
layered
conditions,
optimization
model
accounting
interdependencies
among
length,
diameter,
wall
thickness
properties,
including
pile–soil
plug
system.
A
mixed-integer
OPEN-Pile
was
developed,
consisting
of
an
objective
function
mass
CO2
emissions.
The
constrained
set
design
geotechnical
conditions
corresponded
current
codes
practice
recommendations.
efficiency
developed
illustrated
two
case
studies.
In
Blessington
calculation
show
economical
environmentally
friendly
increase
diameter
than
length.
efficient
design,
ratio
between
calculated
at
upper
limit.
For
optimum
ratios
length
are
5,
50
250,
respectively.
profile,
decision
where
place
base
depends
resistance
cone
tip
individual
layers.
To
determine
layer
should
be
placed,
we
need
perform
given
data.
Язык: Английский