Improved energy balance theory applied to roadway support design in deep mining
Why this work is in the frame
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Bibliographic record
Abstract
Deep mining excavations are challenging, especially because roadways are subject to increasingly high stresses and large deformations. In particular, effective support patterns are required to prevent failures associated with deep mining. The conventional energy balance theory cannot be directly applied for roadway support design in deep mining. In this paper, assumptions were made to improve the energy balance theory, where a semi-circular roof roadway experiencing geostatic stresses was analyzed under plane strain conditions and its failure was identified by the Hoek–Brown failure criterion. An improved energy balance theory was proposed to solve the problem, where the released energy in the plastic zone of the roadway was supposed to be less than the maximum absorbed energy of the supporting structures. The optimized roadway support pattern and parameters for deep mining were then determined through elastic mechanics and complex analysis. The efficacy of the proposed method was evaluated using case histories of roadway support design at the Da'anshan coal mine and the Jinchuan III nickel mine.
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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