Thermal Stability and Performance of a Multifunctional Uhpc Reinforced with Aramid, Basalt, and Steel Microfibers
Eduarda Franke Melchiors,
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Vanderlei Portela,
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Gabriela Iansen
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et al.
Published: Jan. 1, 2025
Language: Английский
Assessment of the mechanical, radiation shielding, and durability of ultra-high-performance concrete for radiation shielding: A review
Construction and Building Materials,
Journal Year:
2025,
Volume and Issue:
474, P. 140896 - 140896
Published: April 5, 2025
Language: Английский
Investigation of cracking and ductility performance of layered UHPC-NC composite members with reinforced UHPC as protective layer under bending moment
Xianzhi Luo,
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Sumei Zhang,
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Yu‐Chen Zhang
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et al.
Thin-Walled Structures,
Journal Year:
2024,
Volume and Issue:
208, P. 112828 - 112828
Published: Dec. 11, 2024
Language: Английский
Optimizing steel fiber content and holding time for enhanced mechanical properties of UHPC prepared via prepressure technology
Construction and Building Materials,
Journal Year:
2025,
Volume and Issue:
467, P. 140099 - 140099
Published: Feb. 12, 2025
Language: Английский
Mechanical behaviors and internal pressure bearing capacity of nuclear containment using UHPC and ECC: From numerical simulation, machine learning prediction to fragility analysis
Di Yao,
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Ge Gao,
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Qingyu Yang
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et al.
Nuclear Engineering and Design,
Journal Year:
2024,
Volume and Issue:
429, P. 113617 - 113617
Published: Oct. 14, 2024
Language: Английский
Leaching Behaviour of Simulated Radionuclides in Hybrid Geopolymer-Epoxy Matrices for Composite Application
Manisha Dash,
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Bhanja Prasad Patro,
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Barada Prasanna Sahoo
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et al.
Arabian Journal for Science and Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 4, 2024
Language: Английский
Optimized Proportioning Model and Efficacy Analysis of High Performance Concrete in Bridge Construction
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
As
an
important
part
of
the
raw
materials
for
building
construction,
high
performance
concrete
is
well
known
its
many
properties.
This
paper
analyzes
prerequisites
high-performance
proportioning
from
technical
point
view
and
processes
involved
in
designing
proportioning.
A
particle
swarm
algorithm
combined
with
a
neural
network
used
to
establish
relationship
model
between
strength
proportion,
constructed
PSO-BP
prediction
mixing
ratio
get
best
material
proportion.
The
ability
BP
model,
GP
compared.
In
order
test
applicability
reliability
formulated
by
members,
static
load
tests
were
carried
out
this
on
20m
single
girder
strain
deflection
control
section.
results
show
that
relative
error
predictions
predicted
within
2%.
It
shows
optimum
can
be
using
model.
beams
meet
design
practical
engineering
requirements
terms
stiffness
applied
real
bridges.
Based
research
analysis,
suggestions
have
been
made
application
bridge
construction
four
aspects.
Language: Английский