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author:

Yu, D. (Yu, D..) [1] | Tang, L. (Tang, L..) [2] | Chen, C. (Chen, C..) [3]

Indexed by:

Scopus

Abstract:

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. © 2020. This work is distributed under the Creative Commons Attribution 4.0 License.

Keyword:

Community:

  • [ 1 ] [Yu, D.]Key Laboratory of Spatial Data Mining, Information Sharing of Ministry Education, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Yu, D.]National Eng. Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Tang, L.]Key Laboratory of Spatial Data Mining, Information Sharing of Ministry Education, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Tang, L.]National Eng. Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Chen, C.]Key Laboratory of Spatial Data Mining, Information Sharing of Ministry Education, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Chen, C.]National Eng. Research Center of Geospatial Information Technology, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Yu, D.]Key Laboratory of Spatial Data Mining, Information Sharing of Ministry Education, Fuzhou UniversityChina

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Source :

Natural Hazards and Earth System Sciences

ISSN: 1561-8633

Year: 2020

Issue: 3

Volume: 20

Page: 727-741

4 . 3 4 5

JCR@2020

4 . 2 0 0

JCR@2023

ESI HC Threshold:115

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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