Systemic Modeling of Soil Structure Dynamics for Civil Engineering Works in Calabar South

The remarkable complexity of soil and its importance to a wide range of civil engineering works
presents major challenges to the modeling of soil processes. Several attempts have been made in
systematic modeling of soil processes that emerged with advances in analog and digital computers in
the 20th century, there has been great progress across a broad range of space and time scales (pores
to catchments and seconds to decades). Yet, our current understanding of the complexity of soil
processes and the ability to observe these processes at ever-increasing resolution point to significant
gaps in representing this critical compartment of the soil suitability for engineering purposes. The
growing importance of soil in a host of topics and its central role in a range of civil engineering works,
climate, food security, and other global terrestrial processes make quantification and modeling of soil
processes an urgent challenge for the soil mechanics, geotechnical engineers, and soil scientist. We
focused on identifying various key challenges in modeling soil application of the Multi-Linear
Regression Analysis (MLRA) model for predicting soil properties in Calabar South which offers a
technical guide and solution in foundation design problems in the area. Forty-five soil samples were
collected from fifteen different boreholes at a different depth and 270 tests were carried out for CBR,
MC, SG, LL, PL test and GS with mechanical sieve analysis of sizes, 2.36 mm, 1.18 mm, 600 μ, 425
μ, 300μ, 212μ, 150μ, and 75μ. This study uses Multi Linear Regression Analysis to formulate a model
that relates CBR to other soil parameters. The Multi Linear Regression Analysis was developed which
gave a good coefficient of correlation R2, 0.9454 benchmarking that the model is stable to predict
CBR at 50.9% and with ±3.4% error. This conclusion is drawn since the value of R2 increases with an
increase in the numbers of variables [1].