Journal of Porous Media,
Journal Year:
2023,
Volume and Issue:
27(6), P. 45 - 65
Published: Dec. 12, 2023
In
this
work,
multiple
linear
regression
was
used
to
obtain
mathematical
models
with
which
it
is
possible
predict
the
permeability
of
isotropic
porous
media.
With
aim,
a
database
containing
binary
files
digital
images
wide
variety
structures
built.
These
allowed:
1)
extraction
statistical
and
morphological
descriptors
solid
void
phases
that
were
as
independent
variables,
2)
calculation
(dependent
variable)
by
using
lattice
Boltzmann
method
(LBM).
The
selection
constitute
carried
out
according
stepwise
backward
elimination.
order
fulfill
linearity
assumption,
necessary
transform
some
taking
their
natural
logarithm.
After
removing
influential
values,
regressions
analyzed
different
statistics
hypotheses
testing.
One
able
explain
93.3%
variability
function
structure.
Water,
Journal Year:
2024,
Volume and Issue:
16(18), P. 2596 - 2596
Published: Sept. 13, 2024
Accurate
characterization
of
soil
hydraulic
conductivity
influenced
by
temperature
under
a
centrifugal
environment
is
important
for
and
geotechnical
engineering.
Therefore,
temperature-influenced
scaling
law
in
centrifuge
modeling
was
deduced,
temperature-controlled
falling-head
permeameter
apparatus
specifically
designed
also
developed.
Subsequently,
series
tests
were
conducted
varying
accelerations
to
achieve
the
following
objectives:
(1)
examine
performance
apparatus,
(2)
investigate
influence
acceleration
on
sand
its
factor,
(3)
validate
proposed
conductivity.
The
main
conclusions
study
are
as
follows.
Firstly,
demonstrated
good
sealing
effectively
controlled
both
specimen
fluid.
Secondly,
not
constant
but
varied
over
time,
likely
due
presence
radial
seepage
addition
vertical
test
progressed.
Thirdly,
significantly
factor
same
acceleration.
it
essential
closely
monitor
models
during
tests.
Finally,
measured
calculated
values
index
showed
agreement,
verifying
law.
Journal of Porous Media,
Journal Year:
2023,
Volume and Issue:
27(6), P. 45 - 65
Published: Dec. 12, 2023
In
this
work,
multiple
linear
regression
was
used
to
obtain
mathematical
models
with
which
it
is
possible
predict
the
permeability
of
isotropic
porous
media.
With
aim,
a
database
containing
binary
files
digital
images
wide
variety
structures
built.
These
allowed:
1)
extraction
statistical
and
morphological
descriptors
solid
void
phases
that
were
as
independent
variables,
2)
calculation
(dependent
variable)
by
using
lattice
Boltzmann
method
(LBM).
The
selection
constitute
carried
out
according
stepwise
backward
elimination.
order
fulfill
linearity
assumption,
necessary
transform
some
taking
their
natural
logarithm.
After
removing
influential
values,
regressions
analyzed
different
statistics
hypotheses
testing.
One
able
explain
93.3%
variability
function
structure.
