This study investigated the relationships between the electrical and selected mechanical
properties of soil. The analyses focused on comparing various modeling relationships under …

This study evaluates the applicability of using a robust, novel, data-driven method in
proposing surrogate models to predict the maximum dry unit weight, optimum moisture …

A failure prediction assessment is generally required to enhance infrastructural seismic
design. This study used Artificial Neural Networks (ANN) and the Finite Element Method …

Compacting soil is crucial in almost every earthwork project to achieve the densest possible
state. The compaction characteristics of soil, such as Optimum Moisture Content (OMC) and …

Swell-shrink phenomenon experienced by foundation soils like the subgrade layer is a
major cause of failures in pavement facilities. This phenomenon is fundamentally caused by …

Void ratio is a critical soil characteristic directly describing the degree of sand compaction.
Though several empirical models for void ratio prediction were available in the literature, the …

The stability of the landfill is an environmental issue. The collapse of the landfill causes
environmental pollution and influences human life. In the present study, the crack on the …

Abstract Evolutionary Polynomial Regression (EPR) has found widespread application and
use for model structure development in engineering and science. This hybrid evolutionary …

The ultrasonic pulse velocity (UPV) correlates significantly with the density and pore size of
subgrade filling materials. This research conducts numerous Proctor and UPV tests to …

This study aims to achieve the densest possible state of soil for constructing dams and
roads. This requires assessing the compaction characteristics, Optimum Moisture Content …