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Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability

Thesis (MEng)--Stellenbosch University, 2026.

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Main Author: Bamisaye, Rapheal Temitayo
Other Authors: MacRobert, Charles John
Format: Thesis
Language:English
Published: Stellenbosch : Stellenbosch University 2026
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access_status_str Open Access
author Bamisaye, Rapheal Temitayo
author2 MacRobert, Charles John
author_browse Bamisaye, Rapheal Temitayo
MacRobert, Charles John
author_facet MacRobert, Charles John
Bamisaye, Rapheal Temitayo
author_sort Bamisaye, Rapheal Temitayo
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2026.
format Thesis
id oai:scholar.sun.ac.za:10019.1/135596
institution Stellenbosch University (South Africa)
language English
last_indexed 2026-06-10T12:47:19.123Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/135596 Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability Bamisaye, Rapheal Temitayo MacRobert, Charles John Stellenbosch University. Faculty of Engineering. Dept. of Civil Engineering. Thesis (MEng)--Stellenbosch University, 2026. Bamisaye, R. T. 2026. Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability. Unpublished masters thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/ff9394d1-cfb5-4aa7-bf03-65018c32a82b The stratified nature of tailings storage facilities (TSFs) remains a major stratigraphic or transformation uncertainty in slope stability assessment. Unlike natural soils, tailings are hydraulically deposited and develop alternating layers of coarse, dilative sands and fine, contractive slimes that exhibit contrasting hydraulic and mechanical behaviours. These inherent differences govern the stress–strain response of the deposit, yet most design analyses still treat TSFs as single mass of soil. Such simplifications overlook the interaction between contractive and dilative responses, especially under varying phreatic conditions, and may lead to misleading assessments of safety and reliability. This study examines how stratigraphic zoning, defined as the subdivision of the embankment into zones of distinct hydraulic and mechanical characteristics, influences probabilistic evaluations of TSF stability. Three conceptual embankment models were developed to represent different phreatic conditions: Model A with a moderate phreatic surface, Model B with a low phreatic surface, and Model C with an elevated phreatic surface. Within each model, three zoning configurations were analysed to represent increasing stratigraphic complexity. The vertical layering of contractive and dilative materials was maintained within each zone to reflect hydraulic deposition processes. The single-zone configuration represents a single mass deposit with no horizontal stratigraphic differentiation. The two-zone configuration divides the slope into a lower (coarse–dilative) and upper (fine–contractive) section, while the four-zone configuration introduces alternating horizontal zones of contractive and dilative materials to model enhanced stratigraphic variability across the slope. Variability in shear strength within the saturated zone was represented through Beta-distributed friction angles (φ). The Beta distribution was selected because it is bounded between user-defined minimum and maximum limits and can flexibly reproduce a wide range of strength conditions. The distribution parameters were adjusted to reflect different proportions of contractive and dilative tailings, with higher mean φ values corresponding to increasingly dilative behaviour. Randomised Beta-distribution parameters statistics were imported into Slide2 for Monte Carlo simulations to propagate uncertainty in shear strength and generate distributions and statistics of Factor of Safety (FoS) which was used to compute Reliability Index (β), and Probability of Failure (Pf). Slope stability was evaluated using Spencer’s limit-equilibrium method, and statistical hypothesis testing (Student’s t-test) was performed to assess the significance of differences across zoning configurations. The results indicate that stratification has a significant influence on reliability outcomes. While zoning had minimal impact on the calculated Factors of Safety typically less than 4% variation between the one-zone and four-zone configurations for the same simulation type, the Reliability Index (β) increased by more than 100% between these configurations. This demonstrates that β is more sensitive to stratification and inherent uncertainty than FoS. The influence of zoning was also strongly dependent on phreatic conditions, under low and moderate phreatic surfaces (Models A and B), zoning effects on both FoS and β were pronounced, whereas elevated phreatic conditions (Model C) suppressed effective stress and reduced reliability. Statistical hypothesis testing confirmed that differences in β and FoS across zoning cases were statistically significant for Models A and B, but insignificant for Model C due to the elevated phreatic surface. In general, the results show that using stratification in a probabilistic framework gives a more realistic and justifiable way to judge TSF stability. This method makes design forecasts more reliable and helps manage tailings storage facilities in a way that is safer and more informed about risks. Masters 2026-04-02T07:55:20Z 2026-04-02T07:55:20Z 2026-03 Thesis https://scholar.sun.ac.za/handle/10019.1/135596 en Stellenbosch University 93 pages : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Bamisaye, Rapheal Temitayo
Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title_full Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title_fullStr Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title_full_unstemmed Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title_short Reliability Analysis of Tailings Storage Facility Embankments: Investigating the Effect of Zonation on Slope Stability
title_sort reliability analysis of tailings storage facility embankments investigating the effect of zonation on slope stability
url https://scholar.sun.ac.za/handle/10019.1/135596
work_keys_str_mv AT bamisayeraphealtemitayo reliabilityanalysisoftailingsstoragefacilityembankmentsinvestigatingtheeffectofzonationonslopestability