Abstract:
The use of Calcium Carbide
Residue (CCR) for soil stabilization results in
changes of the properties of natural soil. In
terms of compaction properties, the addition of
CCR reduces the maximum dry density (MDD)
of clayey soils while increasing the optimum
moisture content (OMC). This paper describes
a multivariate linear regression model and a
multivariate polynomial regression model
which can predict the MDD, and OMC of clayey
soils stabilized with CCR, respectively. In both
models, the compaction properties of the
natural soil and the CCR mix proportion are
used as independent variables and the
developed models can be used to study any
clayey soil which can be classified as CH or CL
according to the unified soil classification
system (USCS). From the statistical analysis, it
is found that the models are capable of
accurately predicting the compaction properties
(i.e., MDD and OMC) of clayey soils stabilized
with different CCR dosages with a prediction
accuracy of ±5%. Therefore, the developed
correlations can be effectively used as an
indirect approach to estimate the improved
compaction properties of soil in the process of
soft ground improvement using CCR.
