Study on the fracture characteristics of overlying rock strata under different mining face widths
Bibliographic record
Abstract
To evaluate the influence of mining face width on the fracture characteristics of overlying rock strata, a mechanical model of overlying rock strata before fracture is established based on Winkler's elastic foundation hypothesis. This model incorporates Timoshenko's solution to calculate the variation of bending moment and shear force under different foundation conditions. The physical experimental results reported in relevant literature have also verified that the overlying rock strata are fractured with trapezoidal structure. Subsequently, the relevant parameters of this trapezoidal spatial structure about overlying rock strata before and after periodic roof weighting are analyzed in detail, and the calculation results show that the height of trapezoidal spatial structure is directly affected by the width of mining face, and the fractured form of rock layers changes from a horizontal "O-X" structure to a vertical "O-X" structure from the bottom up. Afterwards, the stability verification of inferior key layers is conducted following the trapezoidal spatial structure. Based on elastic thin plate theory, the mine pressure characteristics are analyzed, and the relationship curve of hanging length and hanging width of any rock layer in the overlying rock strata is obtained. Finally, the influence analysis of mining face width on type selection of hydraulic support is demonstrated based on the Panels 1302 and 1305 belonging to Zhaozhuang No.2 underground mine, and the on-site engineering application effect is significant.
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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 | 0.000 | 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) | 0.001 | 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 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".