Mechanism Underlying Rock Core Disking Phenomenon—A Theoretical Investigation
Bibliographic record
Abstract
In this paper, the rapid axial unloading induced spontaneously rock core disking (or the interval fracture of rock pillar) is regarded as a self-sustained fracture. Mechanical model of rock pillar with initial stress subjected to rapid axial unloading under constant radial stress is established, the process of rock core disking is theoretically reproduced, and mechanism underlying the fracture process is analyzed. The expression that could not only reflect the relationship between the dimensionless core thickness d/D and the dimensionless initial axial stress $${{{{\sigma }_{1}}} \mathord{\left/ {\vphantom {{{{\sigma }_{1}}} {{{\sigma }_{t}}}}} \right. \kern-0em} {{{\sigma }_{t}}}}$$ , but also could reflect the influence factors on critical stress of rock core disking is deduced. Among the influence factors, the residual energy ratio is the most important one, the critical stress reaches its minimum value if $${{K}_{{\rm I}}} = {{K}_{{{\rm I}C}}}$$ . By referring the field test data from URL of Canada in the existing study, the expressions for granite and granodiorite with parameters determined are presented, the residual energy ratio and critical stress of rock core disking are also calculated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".