Integration of Python in a Model to Evaluate the Mechanical Behavior of Reactive Soils Through Static Triaxial Tests Under Geomechanical Factors

Bonilla-Uribe J.S.; Moran Yañez L.M.; Huaricallo Y.; Capuñay-Sosa J.L.; Cubas Parimango N.O.; Ccatamayo Barrios J.H.; Guerrero Mendoza L.F. · Mathematical Modelling of Engineering Problems (2025) · DOI: 10.18280/mmep.120420

Resumen

This study aims to develop a predictive model based on Python to assess the mechanical behavior of “reactive” soils through static triaxial tests, considering key geomechanical factors. The tests were conducted on soil samples taken from depths of 1.5 to 2.0 meters (shallow) and from 16.5 to 18.0 meters (deep). The data obtained, which include pore pressure records, displacements, and deformation, were processed and analyzed using Python libraries such as NumPy and Pandas. The model is based on linear regressions and statistical techniques to analyze the relationships between variables such as soil density, cohesion, and the friction angle. The results showed that the model was able to simulate the soil behavior under different static loading conditions with high accuracy, considering confinement pressure and soil density. The analysis indicated that pore pressure has a significant impact on the shear strength of deep clays, with a 25% decrease in strength under saturated conditions. The integration of Python allowed for the automation of complex calculations and optimization of the analysis, providing an effective tool for conducting rapid and precise assessments in geotechnical projects. This study focuses exclusively on static conditions, leaving seismic conditions for future research.

Instituciones: Universidad Nacional Mayor de San Marcos