A new analytical model to predict the effect of suction removal on vacuum preloading of fine copper tailings

Ahmadi, Ali; Bazaz, Jafar Bolouri

doi:10.1016/j.enggeo.2023.107176

Cited by 4 publications

(10 citation statements)

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“…Depending on the OCR value [49] Hint: Symbols of each expression are described in its reference Fig. 1 The tailings dam and the waste substances produced during the mining process [44] The tailings dam is formed from: (1) the foundation 10 m thick (consisting of granular soil and clay), (2) the starter dam (made of compacted clay and granular as well as the waste rock), (3) the main dam 180 m total high with a crest of 10 m wide (consisting of sand tailings), and (4) slimes layer 170 m final high that is formed during the deposition of copper slurry tailings (a combination of fine mineral waste and a small content of fine sand) (see Fig.…”

Section: Varying With Void Ratiomentioning

confidence: 99%

“…In the current study, a laboratory setup was designed based on the Ahmadi and Bolouri-Bazaz [44] research to evaluate the vertical strains of slurry samples under self-weight consolidation and vacuum preloading via an individual vertical drain as shown in Fig. 3.…”

Section: (C))mentioning

confidence: 99%

“…Both connectors had the length and diameter of 1 m and 10 mm, respectively. It should be remembered that the test setup was designed based on the Ahmadi and Bolouri-Bazaz [44] study to extend the results for the Sungun copper tailings under both small-strain and large-strain frameworks.…”

Section: (C))mentioning

confidence: 99%

“…Therefore, the use of ground improvement techniques for accelerating settlements or dewatering tailings compatible with project conditions is essential. For instance, the surcharge loading method for the control of settlements for lowly consolidated areas with soft uranium tailings [36], electro-osmosis method for dewatering mineral tailings (e.g., leach residue and gypsum [38]; copper sulfide tailings [39]; iron ore tailings [40]; alumina tailings [41]), and vacuum consolidation in order to manage settlements (e.g., soda ash tailings [42]; oil sands tailings [43]; fine copper tailings [44]).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the response of the fine copper tailings of the Sungun mine under vacuum preloading has been evaluated through experimental and theoretical studies only within the small-strain framework (i.e., ε ≤ 15%) [44]. However, no attempts have been carried out for conditions in which strains of the Sungun copper tailings are higher than 15%.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive study on the effects of initial water content, suction magnitude, and drainage zone size on self-weight consolidation and vacuum preloading of soft soils and slurried mine tailings

Ahmadi,

Bazaz

2024

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The self-weight consolidation of deposits consisting of fine-grained materials takes a long time. Using a suitable improvement method such as vacuum preloading can accelerate the consolidation. The first innovation is to experimentally assess the vacuum preloading effectiveness for expediting the settlement process of slurry tailings from the Sungun copper mine located in Iran. A new laboratory set-up is configured for radial and vertical consolidations of slurry samples. Effects of initial water content, suction level, and drainage zone size (i.e., sample relative size and vertical drain dimensions) on the tailings consolidation are evaluated through 272 tests. Previous studies indicate that analytical and numerical approaches are limited to particular assumptions and yield correct predictions only if various parameters during consolidation can be accurately determined. Therefore, as the second novelty, new empirical correlations are derived based on a modified multiple linear regression to simply predict vertical strain versus time curves under self-weight and vacuum consolidations with high accuracy. The data required for the statistical analysis are collected from the experimental results of Sungun tailings and a set of previous studies with a wide range of input values. The formulas proposed in this research are verified through several past in-situ and experimental studies with errors of less than 9%.

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Section: Varying With Void Ratiomentioning

confidence: 99%

Section: (C))mentioning

confidence: 99%

Section: (C))mentioning

confidence: 99%