Multiphysics Model for Consolidation Behavior of Cemented Paste Backfill
Bibliographic record
Abstract
In underground mining practices, cemented paste backfill (CPB), a mixture of tailings, cement, and water, is widely adopted to fill extracted stopes. During and after the filling of the underground mine excavations or stopes with CPB, complex multiphysics processes (including thermal, hydraulic, mechanical, and chemical) take place in the CPB mass. These multiphysics processes and their coupling govern the consolidation characteristics and behavior of CPB. As a result, conventional soil mechanics consolidation theories and models are not appropriate for the evaluation and prediction of the consolidation behavior of CPB. Therefore, based on the principles of the continuity of pore space and conservation of mass, energy, and momentum, a three-dimensional coupled multiphysics consolidation model for CPB was developed in this study. The prediction capability of the proposed model was verified by comparing the predicted results with experimental data. Good agreement between the predicted values and experimental data was obtained. Furthermore, some of the important features of the developed model are highlighted by a comparison between the simulated results and Gibson’s solution.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".