Abstract
Current paper presents the results of the experimental analysis on permafrost uppermost soil samples with various physical properties (moisture, porosity) tested with varied external pressure and time. The aim of this work is to test properties of the soil samples intended for the construction of buildings, railways and objects of civil infrastructure by modeled external pressure, data visualization and analysis. Variations in the soil samples were studied by analysis of the equivalent soil cohesion (C<sub>eq</sub>) in frozen soil samples. Methods include integrated application of the laboratory experiments, methods of the statistical data analysis and 3D plotting performed by the selected LaTeX packages. Laboratory experiments were performed using KrioLab equipment ‘Sharikovy Stamp PSH-1’. The 15 series of experiments have been tested. Models of the soil strength are graphically presented and statistically analyzed showing the results of the experiment.
Highlights
Optimization of roads and buildings construction depends heavily on assessment of the bearing capacity of soils and their responses to the pressure across multiple tested areas in the region of construction
Because the temperature was set as constant in this series of experiment, the results shown correlation of the equivalent cohesion with soil density, humidity and pressure over time
The paper presented the results of a series of the experimental tests on soil shear stress and deformation depending on frozen soil properties
Summary
Optimization of roads and buildings construction depends heavily on assessment of the bearing capacity of soils and their responses to the pressure across multiple tested areas in the region of construction. Di Matteo et al [11] conducted four replications of the direct shear test by varied normal stresses (100, 150, 200 and 250 kPa) for 16 finegrained soil specimens and obtained 256 pairs (44) of effective cohesion (c’) and effective friction angle (φ’), analyzing combinations of variables with geotechnical variability These and others previously described methods present analysis of the mechanical properties of soils [12, 13] including combination of the computational and laboratory based methods for determining deformation characteristics of the soil samples [14]. Current studies on soil deformation are largely supported by the advanced use of the information technologies (IT), programming languages and scripting Such methods enable precise and speed data analysis, fine visualization, methods optimization through the computer-added software, machine learning techniques and development of geoscience engineering methods [19,20,21,22]
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