Reduction of strength losses in paste backfill with sludge cake
Bibliographic record
Abstract
Mine tailings containing pyrite and other acid generating rock have a large environmental impact associated with acid mine drainage. Cemented paste backfill (CPB) containing pyritic tailings has been used in several underground mining applications in the Iberian Pyrite Belt. Utilising the high pyrite tailings is often the only economically feasible and practical option for the CPB. In addition, it has the benefits of reducing the environmental impact for tailings management and storage requirements on the surface while providing stability to the underground mine. However, the associated long-term strength losses due to oxidation of the pyrite in CPB mixtures and the associated expansive reactions caused by the acid generated need to be considered and planned for accordingly so that stopes can be safely exposed and mined before too much strength is lost and without rising binder consumption. To a large extent, supplementary cementitious materials and low-aluminate cements have been used to limit long-term strength losses. However, strength deterioration cannot be stopped altogether. In a study by Paterson & Cooke for a future mine located in the Iberian Pyrite Belt, an investigation into the addition of the mine waste water treatment precipitated cake (sludge cake) in the CPB was conducted in parallel to testing CBP without the inclusion of sludge cake (i.e. 100% tailings). The polymetallic tailings (Zn, Cu and Pb) have a pyrite content exceeding 90%, which is typical of the region. This high pyrite content in the tailings causes long-term mechanical strength losses. The testwork demonstrated that, with the addition of sludge cake, the strength losses were reduced significantly. This case study incorporated the addition of sludge cake into the backfill plant design and the underground piping reticulation system. The possibility to form CPB recipes with the addition of sludge cake to the mix requires a holistic view on the design of the backfill system; stope discharge locations are constantly changing and, therefore, the pumping pressure requirements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".