Estimation of the Variability of Tailings Dams Properties in Order to Perform Probabilistic Assessment

GABRIEL EDUARDO VILLAVICENCIO ARANCIBIA, Pierre Breul, Claude Bacconnet, Daniel Boissier, A. Raúl Espinace

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Dams are often used for storing mine tailings. These structures present failure mechanisms that can lead to major risks for surrounding populations. In view to managing these risks, it is necessary to take a probabilistic approach in predicting their behaviour. The application of such approaches is limited by the difficulty of obtaining experimental data to estimate the variability of the parameters and conditioned by the relevance of the probability models chosen to represent this variability. This article proposes (1) a probabilistic modelling of the index properties of the mine tailings constituting these dams based on statistical analyses and (2) a method using dynamic penetration tests to estimate on site the mine tailings friction angle and its variability. This method, applied to chilean tailings dams proposes a single model for all tailings dams in order to associate a probability law to the effective friction angle (φ′). The procedure is illustrated on the probabilistic study of slope stability carried out at the global scale of a dam and also at the local scale of each of its constituent layers.

Original languageEnglish
Pages (from-to)1073-1084
Number of pages12
JournalGeotechnical and Geological Engineering
Volume29
Issue number6
DOIs
StatePublished - Nov 2011
Externally publishedYes

Keywords

  • Penetration test
  • Slope stability
  • Tailing dams
  • Variability

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