Study of the reduction of resistance over time in specimens tested by uniaxial compressive strength for paste filling
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Bibliographic record
Abstract
This paper presents the results of a case analysis which was the product of a conceptual study of the paste fill mix design carried out for a polymetallic mine in southern Peru. Paste fill is a mixture of water, cement and tailings in a high density. It is used in underground mines to fill cavities resulting from rock extraction (galleries, chimneys, pits, among others) to provide the support needed to continue mining and avoid a possible collapse. The strength requirements for the primary paste fill were between 1.0 to 2.0 MPa, and for the secondary filler, between 0.7 to 1.0 MPa after 28 days of setting. The physical, chemical and mineralogical characterisation of the tailings to be used was carried out, as well as uniaxial compressive strength tests (UCS.) of the paste. The mineralogical characterisation allowed us to identify a high presence of siderite (26%) and kaolinite (12%), minerals that do not benefit from obtaining high resistance values. On the other hand, the UCS allowed us to identify that, after 28 days of curing, the resistance of the analysed specimens presented a decrease concerning the values obtained at 7 and 14 days of curing. Given this scenario, tests were carried out at 60 and 90 days of curing and detected that the decrease in resistance fell to values well below those required (a decrease in resistance of more than 40%). Analysing the results identified that the presence of sulfates in the tailings possibly generated gypsum crystals during mixing. When they grow, these crystals break the cement bonds over time, affecting the integrity and resistance of the tested paste.
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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 | 0.000 |
| 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 it