Probabilistic stability analysis of a tailings dyke on presheared clay–shale

Probabilistic slope stability analysis offers an efficient framework for logical, systematic incorporation of uncertainty into slope design. The slow integration of probabilistic slope analyses into practice is attributed, among other factors, to the lack of published studies illustrating the implem...

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Published in:Canadian Geotechnical Journal
Main Authors: El-Ramly, H, Morgenstern, N R, Cruden, D M
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 2003
Subjects:
Online Access:http://dx.doi.org/10.1139/t02-095
http://www.nrcresearchpress.com/doi/pdf/10.1139/t02-095
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author El-Ramly, H
Morgenstern, N R
Cruden, D M
author_facet El-Ramly, H
Morgenstern, N R
Cruden, D M
author_sort El-Ramly, H
collection Canadian Science Publishing
container_issue 1
container_start_page 192
container_title Canadian Geotechnical Journal
container_volume 40
description Probabilistic slope stability analysis offers an efficient framework for logical, systematic incorporation of uncertainty into slope design. The slow integration of probabilistic slope analyses into practice is attributed, among other factors, to the lack of published studies illustrating the implementation and benefits of such techniques. A spreadsheet-based, probabilistic slope analysis methodology is applied to evaluate the stability of a section of the Syncrude Tailings Dyke in Fort McMurray, Canada. The dyke is approximately 44 m high and is founded on presheared clay–shale. The performance of the dyke is governed by uncertainties about material properties and pore-water pressures. Starting with field and laboratory data, this study demonstrates the techniques used in quantifying the various components of parameter uncertainty, conducting a probabilistic assessment, and estimating the probability of unsatisfactory performance. The probability of unsatisfactory performance of the dyke is estimated to be 1.6 × 10 –3 . Field monitoring data indicate that the dyke performance is adequate. The study thus provides a first link between probability figures and performance. The analysis also quantifies the relative contributions of the various sources of uncertainty to the overall uncertainty in the factor of safety.Key words: probabilistic analysis, slope stability, Monte Carlo simulation, spatial variability, tailings dyke, clay–shale.
format Article in Journal/Newspaper
genre Fort McMurray
genre_facet Fort McMurray
geographic Canada
Fort McMurray
geographic_facet Canada
Fort McMurray
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op_doi https://doi.org/10.1139/t02-095
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op_source Canadian Geotechnical Journal
volume 40, issue 1, page 192-208
ISSN 0008-3674 1208-6010
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spelling crcansciencepubl:10.1139/t02-095 2025-01-16T21:57:36+00:00 Probabilistic stability analysis of a tailings dyke on presheared clay–shale El-Ramly, H Morgenstern, N R Cruden, D M 2003 http://dx.doi.org/10.1139/t02-095 http://www.nrcresearchpress.com/doi/pdf/10.1139/t02-095 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Geotechnical Journal volume 40, issue 1, page 192-208 ISSN 0008-3674 1208-6010 journal-article 2003 crcansciencepubl https://doi.org/10.1139/t02-095 2024-11-21T05:07:29Z Probabilistic slope stability analysis offers an efficient framework for logical, systematic incorporation of uncertainty into slope design. The slow integration of probabilistic slope analyses into practice is attributed, among other factors, to the lack of published studies illustrating the implementation and benefits of such techniques. A spreadsheet-based, probabilistic slope analysis methodology is applied to evaluate the stability of a section of the Syncrude Tailings Dyke in Fort McMurray, Canada. The dyke is approximately 44 m high and is founded on presheared clay–shale. The performance of the dyke is governed by uncertainties about material properties and pore-water pressures. Starting with field and laboratory data, this study demonstrates the techniques used in quantifying the various components of parameter uncertainty, conducting a probabilistic assessment, and estimating the probability of unsatisfactory performance. The probability of unsatisfactory performance of the dyke is estimated to be 1.6 × 10 –3 . Field monitoring data indicate that the dyke performance is adequate. The study thus provides a first link between probability figures and performance. The analysis also quantifies the relative contributions of the various sources of uncertainty to the overall uncertainty in the factor of safety.Key words: probabilistic analysis, slope stability, Monte Carlo simulation, spatial variability, tailings dyke, clay–shale. Article in Journal/Newspaper Fort McMurray Canadian Science Publishing Canada Fort McMurray Canadian Geotechnical Journal 40 1 192 208
spellingShingle El-Ramly, H
Morgenstern, N R
Cruden, D M
Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title_full Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title_fullStr Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title_full_unstemmed Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title_short Probabilistic stability analysis of a tailings dyke on presheared clay–shale
title_sort probabilistic stability analysis of a tailings dyke on presheared clay–shale
url http://dx.doi.org/10.1139/t02-095
http://www.nrcresearchpress.com/doi/pdf/10.1139/t02-095