Permeability Prediction of Iron Tailings Including Degree of Compaction and Structure

Joint Authors

Gan, Deqing
Yang, Xi
Zhang, Yunpeng

Source

Complexity

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-09-25

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Philosophy

Abstract EN

The stability of iron tailings dam is affected by the permeability of tailings.

Considering the influence of it, it is necessary to analyze the permeability of tailings so as to prevent the recurrence of Brazilian iron tailings dam accidents.

Nevertheless, the results of iron tailings permeability from some prediction equations (Terzaghi equation, Hazen equation, and Kozeny equation) cannot be accurate.

Iron tailings are various as they can be divided into three categories: (1) silt content is less than 40%; (2) silt content is more than 40%, while clay content is less than 15%; and (3) clay content is more than 15% and less than 30%.

Correspondingly, three equations are proposed to calculate the disturbed and iron undisturbed tailings permeability for the three types.

And more accurate results come from it.

The water-flow paths of the iron tailings are blocked after compaction, and the critical pressure of iron tailings blockage is 200 kPa.

Although the porosity is large, some of the pores are isolated from each other when the pressure is larger than 200 kPa.

However, porosity becomes too large for permeability calculation after compaction and the calculated permeability gets larger as well (equations (24)–(26)).

Correcting the permeability calculation equations is an absolute must.

The calculated permeability by the revised equations becomes more accurate (equations (27)–(29)).

In fact, the granulometric characteristics necessarily play a vital role in the evolution of the pore interconnections by blocking the water-flow paths and modifying the morphological parameters.

More research studies are required to be done in the future.

American Psychological Association (APA)

Gan, Deqing& Yang, Xi& Zhang, Yunpeng. 2019. Permeability Prediction of Iron Tailings Including Degree of Compaction and Structure. Complexity،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1131468

Modern Language Association (MLA)

Gan, Deqing…[et al.]. Permeability Prediction of Iron Tailings Including Degree of Compaction and Structure. Complexity No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1131468

American Medical Association (AMA)

Gan, Deqing& Yang, Xi& Zhang, Yunpeng. Permeability Prediction of Iron Tailings Including Degree of Compaction and Structure. Complexity. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1131468

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1131468