Assessment of the Slope Stability Under Geological Conditions Using FDAHP-TOPSIS (A Case Study for Sungun Open Pit Mine)
Determining the degree of slope stability is one of the most important steps in the design of open pit mines that are affected by other mining activities. So that the collapse of a part of the wall will lead to irreparable human and compensatory damages. Slope stability is affected by natural factor...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Pouyan Press
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/0ba2bd4cbd1244f2afdd77dc8cc4d93c |
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| Sumario: | Determining the degree of slope stability is one of the most important steps in the design of open pit mines that are affected by other mining activities. So that the collapse of a part of the wall will lead to irreparable human and compensatory damages. Slope stability is affected by natural factors such as lithology, tectonic regime, rock mass conditions, climatic conditions and design factors including slope angle, slope height, pattern and blasting method. In the present study, using a combination of fuzzy approach and multi-criteria decision models, the stability and ranking of the slope stability has been investigated. For this purpose, the stability of 28 slopes of 8 large open pit mines was evaluated. In the first step of the research, after identifying the parameters affecting the slope stability and recording their values for the studied mines, the degree of importance of these parameters were determined by experts using the Fuzzy Delphi Analytical Hierarchy Process. Then the slopes were evaluated and ranked using the technique of order preference similarity to the ideal solution technique. The slope A23 with similarity index 0.742 was selected as the most desirable alternative and the slope A15 with similarity index 0.335 as the most undesirable alternative in terms of slope stability. Meanwhile, Sungun copper mine with a similarity index of 0.399 was ranked 12th in the second half of the slope stability classification table. The results showed that, the matching of research results and field observations shows the applicability of the model in the initial evaluation of slopes to determine its stability. |
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