Three-dimensional numerical simulation of mud flow from a tailing dam failure across complex terrain
A tailing dam accident can cause serious ecological disaster and property loss. Simulation of a tailing dam accident in advance is useful for understanding the tailing flow characteristics and assessing the possible extension of the impact area. In this paper, a three-dimensional (3-D) computational...
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Veröffentlicht in: | Natural hazards and earth system sciences 2020-03, Vol.20 (3), p.727-741 |
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Sprache: | eng |
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Zusammenfassung: | A tailing dam accident can cause serious ecological
disaster and property loss. Simulation of a tailing dam accident in advance
is useful for understanding the tailing flow characteristics and assessing
the possible extension of the impact area. In this paper, a
three-dimensional (3-D) computational fluid dynamics (CFD) approach was
proposed for reasonably and quickly predicting the flow routing and impact
area of mud flow from a dam failure across 3-D terrain. The Navier–Stokes
equations and the Bingham–Papanastasiou rheology model were employed as the
governing equations and the constitutive model, respectively, and solved
numerically in the finite volume method (FVM) scheme. The volume-of-fluid
(VOF) method was used to track the interface between the tailings and air.
The accuracy of the CFD model and the chosen numerical algorithm were
validated using an analytical solution of the channel flow problem and a
laboratory experiment on the dam-break problem reported in the literature.
In each issue, the obtained results were very close to the analytical
solutions or experimental values. The proposed approach was then applied to
simulate two scenarios of tailing dam failures, one of which was the
Feijão tailing dam that failed on 25 January 2019, and the simulated
routing coincided well with the in situ investigation. Therefore, the
proposed approach does well in simulating the flow phenomenon of tailings
after a dam break, and the numerical results can be used for early warning
of disasters and emergency response. |
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ISSN: | 1684-9981 1561-8633 1684-9981 |
DOI: | 10.5194/nhess-20-727-2020 |