Shear characteristics of the rock/cemented tailings interface exposed to sulfate attack
Bibliographic record
Abstract
A clear understanding and accurate assessment of the mechanical properties of the interface between backfill material and the adjacent rock mass is paramount to a safe and economical design of cemented paste backfill (CPB) structures. With the CPB being a cementitious material, sulfate compounds prevalent in the mining environment may affect the shear characteristics of the CPB–rock interface. However, there are currently no research studies on the long-term shear behaviour of the CPB–rock interface exposed to sulfate attack, although CPB often contains a relatively large amount of sulfate ions. This paper presents and discusses the findings obtained through experimental investigation of the impact of the initial sulfate concentration in CPB on the shear characteristics of the interface between rock and CPB cured for long durations. The obtained results show that sulfate considerably influences the long-term shear strength and behaviour of the interface. Sulfate can either negatively or positively alter the shear properties of the mature CPB–rock interface due to the competition between the processes that reduce or increase the strength at the interface. The dominant process is a function of the initial sulfate content and the curing time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".