The Cone Penetration Test (CPT) is utilized extensively in geotechnical engineering for the characterization of soils and tailings materials. The properties of these materials derived from CPT results rely on empirical correlations. Numerical simulations of CPT offer insights into the mechanical behaviour and actual in-situ conditions of soils, enabling better characterization of soil and tailings. However, accurately simulating CPT is challenging due to the significant deformations during penetration and the need for suitable soil constitutive models.
In this study, the Material Point Method (MPM) and a version of the SANISAND models are used to simulate CPT in dry sand. The model's accuracy is assessed by comparison with actual CPT data from a calibration chamber, covering a range of soil pressures and void ratios. Findings indicate the model's effectiveness in predicting cone tip resistance accurately for the soils tested. Additionally, the analysis focuses on the changes in void ratio and mean effective stress at specific soil points, aiming to elucidate soil behaviour during penetration.
The outcomes of this research highlight the potential of advanced numerical simulations, specifically the use of MPM and SANISAND models, in overcoming some of the limitations associated with empirical correlations in CPT soil characterization. By accurately simulating the conditions experienced during CPT and analyzing the resulting soil behavior, this approach represents a significant step forward in the precise characterization of soils and tailings materials.
This paper results from ongoing collaborative research between SRK, UBC and Peñoles Group, expanding on initial findings presented at the 10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE 2023). More findings from this research are planned to be presented at the International Conference on Geotechnical and Geophysical Site Characterization (ISC'7) in Barcelona in June 2024.
Authors:
Sara Moshfeghi | University of British Columbia
Mahdi Taiebat | University of British Columbia
Arcesio Lizcano | SRK Consulting Canada
