Real-time forecast of tunnel fire scenario and hazard based on external smoke images
Jiaqi Cheng,
Yang Nie,
Saihua Jiang
и другие.
Tunnelling and Underground Space Technology,
Год журнала:
2025,
Номер
158, С. 106377 - 106377
Опубликована: Янв. 18, 2025
Язык: Английский
Research on Transient Analysis Method for the Thermal-Fluid-Mechanical Coupling of Steel Pipelines under Natural Gas Jet Flame
Journal of Pipeline Systems Engineering and Practice,
Год журнала:
2025,
Номер
16(3)
Опубликована: Март 18, 2025
Язык: Английский
Size scale effect on mass burning flux and flame behavior of solid fuels
Journal of Thermal Analysis and Calorimetry,
Год журнала:
2024,
Номер
149(17), С. 9575 - 9586
Опубликована: Авг. 20, 2024
Abstract
The
study
investigates
the
horizontal
fuel
size
effect
on
free-burning
fires
for
PMMA
plates
and
wood
cribs.
mass
burning
flux
flame
behavior
is
mainly
discussed
compared
with
typical
pool
fires.
For
plate
liquid
pool,
when
small
(<
10
cm),
either
3D
sidewall
of
or
container
wall
heated
by
can
promote
at
projection
area.
As
increases,
these
side
heating
effects
decrease,
causing
drop
in
scale
both
pool.
small-scale
cribs,
fire
cannot
self-sustain
due
to
large
airflow
cooling.
With
increase
crib
size,
rate
first
remains
constant
then
gradually
driven
enhanced
internal
radiation.
increases
above
20–30
cm,
radiation
dominates
all
types.
Fire
dynamics
simulator
(FDS)
was
adopted
simulate
setting
a
varied
source
(horizontal
projection)
First,
geometry
heat
release
(HRR)
simulations
were
validated
against
experimental
results.
Subsequently,
model
generates
cases
covering
broad
range
scales.
Finally,
new
correlation
height
proposed,
its
prediction
capability
numerical
modeling.
This
quantifies
common
solid
fuels
provides
valuable
information
modeling
multi-scale
Язык: Английский
Hydraulic modeling of slag cover surface in top-blown molten bath smelting processes assisted by machine learning
Physics of Fluids,
Год журнала:
2024,
Номер
36(10)
Опубликована: Окт. 1, 2024
Variation
of
the
slag
cover
surface
(SCS)
in
oxygen-enriched
top-blown
molten
bath
smelting
process
is
critical
for
efficiency
a
complex
Cu–S
concentrate.
However,
capturing
these
variation
characteristics
difficult
because
high
temperature
inside
and
dynamic
complexity
process.
In
this
work,
machine
learning
(i.e.,
U-net
algorithm
support
vector
machine)
combined
with
skillful
hydraulic
model
gas–liquid
two-phase
agitated
vessel)
an
experimental
measurement
strategy
to
quantitatively
explore
SCS
Results
showed
that
minimum
30
images,
smallest
size
being
900
×
600
pixels,
was
sufficient
training
The
data
accuracy
procedure
ranged
from
93.20%
96.23%
identifying
at
laboratory
scale.
highest
average
height
2.23
cm
occurred
under
operational
condition,
flow
rate
160
L/h,
liquid
60
°C,
depth
0.4
m.
chaotic
systems
industry
were
deterministic.
It
found
proposed
could
be
used
accurately
identify
vessel.
industrial
roughly
grasped
by
magnifying
obtained
laboratory.
Quantification
useful
increase
This
also
provides
insights
multiphase
measurements
other
studies
related
efficient
utilization
concentrates.
Язык: Английский
Modeling of Wildfire Digital Twin: Research Progress in Detection, Simulation, and Prediction Techniques
Fire,
Год журнала:
2024,
Номер
7(11), С. 412 - 412
Опубликована: Ноя. 12, 2024
Wildfires
occur
frequently
in
various
regions
of
the
world,
causing
serious
damage
to
natural
and
human
resources.
Traditional
wildfire
prevention
management
methods
are
often
hampered
by
monitoring
challenges
low
efficiency.
Digital
twin
technology,
as
a
highly
integrated
virtual
simulation
model,
shows
great
potential
prevention.
At
same
time,
virtual–reality
combination
digital
technology
can
provide
new
solutions
for
management.
This
paper
summarizes
key
technologies
required
establish
system,
focusing
on
technical
requirements
research
progress
fire
detection,
simulation,
prediction.
also
proposes
(WFDT)
which
integrates
real-time
data
computational
simulations
replicate
predict
behavior.
The
synthesis
these
techniques
within
framework
offers
comprehensive
approach
management,
providing
critical
insights
decision-makers
mitigate
risks
improve
emergency
response
strategies.
Язык: Английский