Machine learning techniques and multivariable mathematical models for predicting modified soil compaction parameters based on particle size and consistency limits
Modeling Earth Systems and Environment,
Год журнала:
2025,
Номер
11(1)
Опубликована: Янв. 8, 2025
Язык: Английский
Application of the cramer method for the prediction of geotechnical parameters of soils in an intertropical zone in road construction
Alain Justin Menye,
Michel Mbessa,
Paul Bilong
и другие.
Earth Science Informatics,
Год журнала:
2025,
Номер
18(3)
Опубликована: Фев. 18, 2025
Язык: Английский
Application of the Cramer Method for the Prediction of Geotechnical Parameters of Soils in the Intertropical Zone in Road Construction.
Alain Justin Menye,
Michel Mbessa,
Paul Bilong
и другие.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 11, 2024
Abstract
Geotechnical
road
construction
work
requires
many
tests
that
integrate
several
parameters,
which
can
be
reduced
by
predictions.
This
paper
establishes
the
prediction
through
Cramer
multiple
linear
regression
technique
of
modified
Proctor
parameters
and
California
Bearing
Ratio
(CBR)
in
function
Fines
Atterberg
limits,
lateritic
materials
developed
on
metamorphic
rocks.
The
such
as
Maximum
Dry
Density
(MDD),
Optimum
Moisture
Content
(OMC)
CBR
index
a
unknown
%fines
(˂80µm),
Plasticity
Index
(PI)
Liquid
limit
(LL),
were
determined.
study
soil
mechanics
shows
that,
(13
to
53)
MDD
(1.5
2.1
g/cm
3)
increase
percentage
fines
(75
12%)
decreases.
These
values
used
for
backfill
foundation
layers
traffic
T1
T2/T3.
Principal
Component
Analysis
(PCA)
reveals
presence
three
classes
C1
(LL,
PL
OMC),
C2
(˂80µm)
C3
(CBR
MDD),
representing
two
families
related
respectively.
determination
coefficients
obtained
are
0.998
with
R
2
=
0.996
MDD;
0.991
0.982
OMC
0.98
0.97
at
95%
optimum
respectively,
indicating
an
excellent
correlation.
helps
handle
smaller
quantities
materials,
save
time,
reduce
energy
expenditure
cost
analyses
field
campaigns.
Язык: Английский