Determination des parametres mecaniques des remblais miniers faits de residus cimentes
Bibliographic record
Abstract
A field trial was conducted to demonstrate the applicability of a self-boring pressuremeter probe for in situ testing of cemented paste backfill. This technology proved to be efficient in evaluating behaviour of in situ conditions of mine backfill underground. Effectively, laboratory experience shows that it is not possible to insure that all physical and mechanical conditions prevailing underground are respected when samples are prepared and tested in the lab. Moreover, sampling by coring backfill underground proved to be sometimes not very efficient and the question of sample disturbance is a major concern. This thesis aims at presenting the considerations leading to the probe selection and the technical aspects related to conducting pressuremeter tests in an underground mine. A preliminary analysis of the experimental pressuremeter curves is presented with the derived in situ properties obtained from a paste backfill in a Canadian mine. It is shown that the selected instrument fulfilled the main objective of the project, which was the in situ characterization of a paste backfill. Recommendations are given for future applications of this testing technique for mine backfill and improve the efficiency of the work underground. Also, recommendations are given to improve test analysis and consequently the quality of the results obtained with the self-boring pressuremeter technique.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".