scholarly journals Integration of DSM and SPH to Model Tailings Dam Failure Run-Out Slurry Routing Across 3D Real Terrain

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1087 ◽  
Author(s):  
Kun Wang ◽  
Peng Yang ◽  
Karen Hudson-Edwards ◽  
Wensheng Lyu ◽  
Chao Yang ◽  
...  

Tailings dam failure accidents occur frequently, causing substantial damage and loss of human and animal life. The prediction of run-out tailings slurry routing following dam failures is of great significance for disaster prevention and mitigation. Using satellite remote sensing digital surface model (DSM) data, tailings pond parameters and the advanced meshless smoothed particle hydrodynamics (SPH) method, a 3D real-scale numerical modelling method was adopted to study the run-out tailings slurry routing across real downstream terrains that have and have not been affected by dam failures. Three case studies, including a physical modelling experiment, the 2015 Brazil Fundão tailings dam failure accident and an operating high-risk tailings pond in China, were carried out. The physical modelling experiment and the known consequences were successfully modeled and validated using the SPH method. This and the other experiments showed that the run-out tailings slurry would be tremendously destructive in the early stages of dam failure, and emergency response time would be extremely short if the dam collapses at its full designed capacity. The results could provide evidence for disaster prevention and mitigation engineering, emergency management plan optimization, and the development of more responsible site plans and sustainable site designs. However, improvements such as rheological model selection, terrain data quality, computing efficiency and land surface roughness need to be made for future studies. SPH numerical modelling is a powerful and advanced technique that is recommended for hazard assessment and the sustainable design of tailings dam facilities globally.

4open ◽  
2020 ◽  
Vol 3 ◽  
pp. 12
Author(s):  
Laura Maria Canno Ferreira Fais ◽  
Verónica Andrea González-López ◽  
Diego Samuel Rodrigues ◽  
Rafael Rodrigues de Moraes

In this article, we model the dependence between dam factor and D max, where dam factor is an indicator of risk of a tailings dam failure, which involves the height H of the tailings dam, the volume of material housed by the tailings dam VT and the volume dispensed by the tailings dam, VF, when the dam breaks. And, Dmax is the maximum distance traveled by the material released by the tailings dam, after the collapse. With the dependence found via copula models and Bayesian estimation, given a range of dam factor, we estimate the probability of the released material to exceed a certain threshold. Since the dam factor involves the released volume VF (unknown before the dam break), we present a naive way to estimate it using VT and H. In this way, it is possible to estimate the dam factor of a tailings dam and with such a value to identify the probability of the tailings dam to show a Dmax that exceeds a certain threshold.


Author(s):  
Rubens Augusto Amaro Junior ◽  
Lucas Soares Pereira ◽  
Liang-Yee Cheng ◽  
Ahmad Shakibaeinia

2016 ◽  
Vol 43 (10) ◽  
pp. 4929-4936 ◽  
Author(s):  
H. Agurto‐Detzel ◽  
M. Bianchi ◽  
M. Assumpção ◽  
M. Schimmel ◽  
B. Collaço ◽  
...  

2019 ◽  
Vol 15 (1) ◽  
pp. 5-12
Author(s):  
Stanislav Hodás ◽  
Alžbeta Pultznerová

AbstractIn the paper, a numerical modelling experiment is presented in order to detect the temperature transition through the individual layers of the railway formation during the winter period that is their undesirable freezing. In the experiment, the temperature behaviour and the zero isotherm (0 °C) are investigated. We want to prove that the temperatures are also affected by the volume of mass in the railway formation. The modelling of new experiment has been carried out done on a low and also high embankment of single and double track railway, where the volume of material in the core of the formation is almost doubled. The experiment demonstrated that the greater is the mass of the subballast layers, the higher is the resistance to freezing due to the accumulated heat in the pre-winter period.


2008 ◽  
Vol 273-276 ◽  
pp. 782-788 ◽  
Author(s):  
C.R. Ruivo ◽  
J.J. Costa ◽  
A.R. Figueiredo

In this paper the numerical modelling of the behaviour of a channel of a hygroscopic compact matrix is presented. The heat and mass transfer phenomena occurring in the porous medium and within the airflow are strongly coupled, and some properties of the airflow and of the desiccant medium exhibit important changes during the sorption/desorption processes. The adopted physical modelling takes into account the gas side and solid side resistances to heat and mass transfer, as well as the simultaneous heat and mass transfer together with the water adsorption/desorption process in the wall domain. Two phases co-exist in equilibrium inside the desiccant porous medium, the equilibrium being characterized by sorption isotherms. The airflow is treated as a bulk flow, the interaction with the wall being evaluated by using appropriated convective coefficients. The model is used to perform simulations considering two distinct values of the channel wall thickness and different lengths of the channel. The results of the modelling lead to a good understanding of the relationship between the characteristics of the sorption processes and the behaviour of hygroscopic matrices, and provide guidelines for the wheel optimization, namely of the duration of the adsorption and desorption periods occurring in each hygroscopic channel.


Author(s):  
Paul A. Brewer ◽  
Mark G. Macklin ◽  
Dan Balteanu ◽  
Tom J. Coulthard ◽  
Basarab Driga ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2388 ◽  
Author(s):  
Guangjin Wang ◽  
Sen Tian ◽  
Bin Hu ◽  
Zhifa Xu ◽  
Jie Chen ◽  
...  

Tailings ponds are the indispensable facilities in the mine production and operation. Once the dam is destabilized and damaged, it will pose a serious threat on the life and property of the downstream population and could also potentially cause an environmental disaster. With an engineering background, this paper dynamically and numerically simulates the evolution process of tailings flow from dam failure and the influence scope of any resulting disaster in context. The evolution characteristics of leaked tailings flow are analyzed at various downstream riverbed slopes and debris blocking dam settings. In addition, parameters such as flow rate, impact force and deposition range of leaked tailings flow at downstream arrival are studied, as well as their correlations. The results indicate that the flat terrains upstream and downstream of passage zone show a relatively larger area of inundation by tailings flow. Both the maximum and final downstream inundated ranges increase with the elevating slope of downstream riverbed, and the leaked tailings are deposited mainly in the nearby villages in front of the dam and the flat terrains of the downstream passage zone. Additionally, rational establishment of debris blocking dams on the downstream side is effective in diminishing the damage of tailings flow to the downstream section. This study can also provide an important basis for the quantitative evaluation of post-disaster influence scope for tailings pond as well as for the design of dam body.


Author(s):  
J.-C. Ballard ◽  
Berghe J.-F. Vanden ◽  
R. A. Jewell ◽  
M. Pirson
Keyword(s):  

2019 ◽  
Vol 261 ◽  
pp. 05002 ◽  
Author(s):  
Sylvain Guillou ◽  
Jean-François Filipot ◽  
Jérôme Thiébot ◽  
Grégory Germain ◽  
Nicolas Chaplain ◽  
...  

Tidal turbine will be installed in area with high current and high turbulence level. A characterisation of this last is required. The aim of the project THYMOTE is to characterize and understand the generation of eddies from smaller to several tens of meters. Three technics are used: Numerical modelling, Physical modelling, field measurements. Physical and numerical modelling show clearly the appearance of the eddies close to the bottom in presence of dunes or rocks and their motion towards the free surface.


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