Study on seismic displacement of coal-rock fracture based on radiation energy
Bibliographic record
Abstract
Abstract Accurately revealing the spatial distribution law of seismic displacement is significance for revealing the mechanism of dynamic load induced rockburst and guiding the dynamic support of roadway. This paper established the function of seismic displacement based on radiation energy, and compared the influences of fracture type, radiation energy, shear strength, fracture velocity and medium density on the seismic displacement. The results showed that the displacement amplitudes of surrounding rock caused by P-wave, SH-wave and SV-wave increased with the rising of radiation energy, and the rate of displacement amplitude also accelerated. The displacement amplitudes of seismic wave associated with tensile fractures are significantly higher than that with shear fractures. The spatial displacement amplitude of S-wave was significantly higher than that of P-wave by one order of magnitude. The peak value of P-wave displacement of shear fracture was concentrated in two planes at 45° angle to the fracture surface. For SH-wave and SV-wave components, peak values were mainly observed on the fracture surface and its orthogonal plane. The P-wave displacement on the orthogonal plane to the fracture movement was zero, the displacement field of SV-wave was distributed in four quadrants, and the displacement field of SH-wave was symmetrical. The higher the value of medium attribute, the more significant the damage effect of coal-rock seismic wave weakening, and the influence on the S-wave is greater than that of the P-wave. The displacement amplitude caused by seismic wave gradually increased with the rising of fracture velocity of coal- rock mass. The peak value of P-wave displacement increased linearly, and the peak value of S-wave displacement was nonlinear. The research results laid a theoretical foundation for dynamic support design for roadways.
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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 | 0.000 |
| 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".