Hazards in mining: A novel model for the prediction of run-out distances in tailings dams using CFD

• Published in: International journal of rock mechanics and mining sciences (Oxford, England : 1997) Vol. 153; p. 105049
• Main Authors: Vergara, Álvaro, Palma, Sergio, Álvarez, Alejandra, Zandarín, María Teresa
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 01-05-2022; Elsevier BV
• Subjects: Computational Fluid Dynamics; Dam breaking in mining; Dams; Disasters; Fluid flow; Impact analysis; Mathematical models; Mine tailings; Mining engineering; Newtonian fluids; Non Newtonian fluids; Reynolds number; Tailings; Yield; Yield strength; Yield stress; Mining engineering; Non-Newtonian fluids; Dam breaking in mining; Computational Fluid Dynamics; Tailings
• ISSN: 1365-1609; 1873-4545
• DOI: 10.1016/j.ijrmms.2022.105049

Tailings dams are potential facilities capable of failure, with the potential to generate high-impact environmental, economic, and social catastrophes given that they do collapse. In this study, numerical simulations of tailings as non-Newtonian fluids based on the Herschel–Bulkley model have been carried out to characterize the runout distances under different physical conditions. Using scaling arguments, a mathematical expression formed by three dimensionless groups including dimensionless yield stress, a modified Reynolds number, and the angle of the inclination of the system is proposed to explain the runout distance in tailings dams. The subsequent results show a good correlation between the variables, allowing us to deduce a high influence of the yield stress and the slope, albeit reflected both in the modified Reynolds number and the yield coefficient. Finally, a simple mathematical model is obtained from multidimensional analysis and the possibility of an abacus for regular intervals is proposed, which in turn supports an additional complement to the existing models for estimating the runout distances.
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•Prediction of dam breaking in mining.•Runout distances using CFD.•Dense suspensions in mining.