Theoretical and Case Studies of Interval Nonprobabilistic Reliability for Tailing Dam Stability

Joint Authors

Dong, Longjun
Li, Xibing
Sun, Daoyuan

Source

Geofluids

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-09-28

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

The stability of the operation of a tailing dam is affected by reservoir water level, phreatic line, and mechanical parameters of tailings.

The values of these factors are not a definite value in different situations.

Meanwhile, the existence of the phreatic line makes it a more complex issue to analyze the stability of the tailing dam.

Additionally, it is very hard to give a definite limit to the state of tailing dam from security to failure.

To consider the uncertainty when calculating the stability of the tailing dams, interval values are used to indicate the physical and mechanical parameters of tailings.

An interval nonprobabilistic reliability model of the tailing dam, which can be used when the data is scarce, is developed to evaluate the stability of the tailing dam.

The interval nonprobabilistic reliability analysis model of tailing dam is established in two cases, including with and without considering phreatic line conditions.

The proposed model was applied to analyze the stability of two tailing dams in China and the calculation results of the interval nonprobabilistic reliability are found to be in agreement with actual situations.

Thus, the interval nonprobabilistic reliability is a beneficial complement to the traditional analysis method of random reliability.

American Psychological Association (APA)

Dong, Longjun& Sun, Daoyuan& Li, Xibing. 2017. Theoretical and Case Studies of Interval Nonprobabilistic Reliability for Tailing Dam Stability. Geofluids،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1155917

Modern Language Association (MLA)

Dong, Longjun…[et al.]. Theoretical and Case Studies of Interval Nonprobabilistic Reliability for Tailing Dam Stability. Geofluids No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1155917

American Medical Association (AMA)

Dong, Longjun& Sun, Daoyuan& Li, Xibing. Theoretical and Case Studies of Interval Nonprobabilistic Reliability for Tailing Dam Stability. Geofluids. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1155917

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1155917