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Predictions based on numerical modelling are considered more appropriate, and, since debris and sediment flows exhibit similar behaviour to tailings flows, numerical models implemented for the analysis of rapid landslide run-out are suitable for the modelling of tailings dynamics.
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A new tailings facility, Yangtianqin tailings impoundment, owned by Tongchang copper mine of Yuxi Mine Co., was used as a case study to illustrate the physical modeling of the tailings dam.
Instead, the use of flood routing computer programs is recommended to model the turbulent flow of tailings.
Despite the discrepancies between the field observations and simulated results, integrating field observations with numerical modelling of the P-area tailings impoundment allowed for a more complete understanding of what affects the complex geochemical reactions.
The main finding was that the modeling of gradual tailings deposition via a 1-D large-strain consolidation model can provide a reliable prediction of tailings height and capacity during TSF operation.
Although the discussion and analysis of this study is tailored to thorium reactive transport modeling of a REE tailings impoundment, such a framework can also be applied to deploy different types of scientific modeling applications on Azure Cloud.
The main objective of this paper was to study the large-strain consolidation modeling of mine waste tailings.
The model captured the self-weight consolidation behaviour for a wide range of tailings.
The model was applied to capture the behaviour of a wide range of tailings using the tailings classification scheme of Paul and Azam (2013) that captures physicochemical interactions arising from ore geology and mill processing.
The model was calibrated using oil sand fine tailings and validated through a wide range of tailings.
The developed model requires a small numbers of input parameters and capable of capturing the behaviour of a wide range of tailings.
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