Estimation of the Variability of Tailings Dams Properties in Order to Perform Probabilistic Assessment |
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Authors: | A Gabriel Villavicencio Pierre Breul Claude Bacconnet Daniel Boissier A Raúl Espinace |
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Institution: | 1.Geotechnical Group and Highways, Escuela de Ingeniería en Construcción,Pontificia Universidad Católica de Valparaíso,Avenida Brasil,Chile;2.LaMI Geotechnical Group, Department of Civil Engineering, Polytech’ Clermont Ferrand,Université Blaise Pascal,Aubière Cedex,France;3.Geotechnical Group, Escuela de Ingeniería en Construcción,Pontificia Universidad Católica de Valparaíso,Avenida Brasil,Chile |
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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. |
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