Solution and Stability Analysis of Sliding Surface of Tailings Pond under Rainstorm

Pengfei Wu, Bing Liang, Jiaxu Jin, Kelin Zhou, Bin Guo and Zetao Yang
Additional contact information
Pengfei Wu: School of Mines, Liaoning Technical University, Fuxin 123000, China
Bing Liang: School of Mines, Liaoning Technical University, Fuxin 123000, China
Jiaxu Jin: School of Civil Engineering, Liaoning Technical University, Fuxin 123000, China
Kelin Zhou: School of Civil Engineering, Liaoning Technical University, Fuxin 123000, China
Bin Guo: School of Mechanics and Engineering, Liaoning Technical University, Fuxin 123000, China
Zetao Yang: School of Mines, Liaoning Technical University, Fuxin 123000, China

Sustainability, 2022, vol. 14, issue 5, 1-16

Abstract: In the case of rainstorm, instability accidents in tailings ponds occur frequently, but there is no reliable calculation method for the stability calculation of tailings ponds. At the same time, there are problems of fuzzy hydrological boundaries and randomness of geotechnical parameters in the stability analysis of tailings ponds, which greatly weakens the credibility of the stability calculation. Therefore, this paper studies the stability of tailings ponds by using the principle of hydrogeology, the theory of elastic-plastic mechanics, the idea of limit equilibrium, and the probability analysis model. The boundary conditions of rainfall slope of tailings ponds are determined based on hydrogeological rainstorm analysis and trapezoidal generalization method. The potential sliding surface of tailings pond slope is solved by using the limit strain criterion. Through the random sampling method of Monte Carlo parameters to deal with the randomness of slope geotechnical parameters, the limit strain Monte Carlo reliability analysis method is established. Finally, through the calculation of practical cases, the stability results of tailings ponds under rainstorm are analyzed. The research results provide ideas for the quantitative analysis of tailings pond stability and have important significance for engineering guidelines.

Keywords: rainstorm; ultimate strain; Monte Carlo; potential sliding surface; reliability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/5/3081/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/5/3081/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:5:p:3081-:d:765440

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().