Conventional soil classification methods are expensive and demand extensive field laboratory work. This research evaluates the efficiency of various machine learning (ML) algorithms in classifying soils based on Robertson’s behavioral types. study employs 4 ML algorithms, including artificial neural network (ANN), random forest (RF), support vector (SVM), decision trees (DT), to classify from 2...

In geophysical exploration different types of measurements are used to probe the same subsurface region. In this paper we show that the wavelet transform can aid the process of linking different data types. The continuous wavelet transform, and in particular the analysis of amplitudes along wavelet transform modulus maxima lines, is a powerful tool to analyze the characteristic properties of lo...

In this paper, a simple model for the prediction of centrifuge cone penetration tip resistance in sand is presented. The proposed method, which relates the tip resistance to the pressure to expand a spherical cavity, refines and simplifies Greeuw’s original equations. The method assumed the failure mode of a spherical cavity expansion pressure given as a function of shear stiffness, angle of fr...

Road design is a complex, time-consuming, and very responsible process. To develop high-quality viable road project, it important to start with an accurate geological survey in order define the best layout. Moreover, geotechnical characterisation of foundation soils construction materials as well analysis assessment works are mandatory. Laboratory situ investigations complementary should be car...

The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. C4.5 is a known algorithm widely used to design decision trees. In this algorithm, a pruning process is carried out to solve the problem of the...

Systematic, well-designed research provides the most effective approach to the solution of many problems facing highway administrators and engineers. Often, highway problems are of local interest and can best be studied by highway departments individually or in cooperation with their state universities and others. However, the accelerating growth of highway transportation develops increasingly ...

SYNOPSIS Results of unconsolidated-undrained triaxial tests, field vane shear tests and cone penetration tests have been used to develop correlations between undrained shear strength and cone resistance for a soft to medium alluvial clay in the Lopez Canyon area of San Diego. When comparing uu triaxial results with cone resistance, the average cone factor was 11 with a standard deviation of 1.5...

This paper presents an investigation on mechanism of the inclined 1 cone penetration test (CPT) using the numerical discrete element method (DEM). 2 A series of penetration tests with the penetrometer inclined at different angles 3 (i.e., 0°,15°, 30°, 45° and 60°) were numerically performed under µ=0.0 and 4 µ=0.5, where µ is the frictional coefficient between the penetrometer and the soil. 5 T...