A dynamic point-load test for quantifying rock dynamic strength parameters
Bibliographic record
Abstract
The point-load test (PLT) has been widely used in the field and in the laboratory to estimate the strength of rock materials. The PLT is easy and quick to perform and it is suitable for samples with irregular shapes and therefore has found wide applications. The measured point-load strength (PLS) is considered as a strength index and it has been correlated to the rock compressive strength. To address the engineering applications where the loading is dynamic, the PLT is extended to its dynamic version in this study. The dynamic loading is exerted to the rock specimen using a split Hopkinson pressure bar system. Two conical steel platens are attached to the incident bar and transmitted bar, respectively, to apply the point load to the disc specimen. To enable quasi-static analysis, the pulse shaper technique is utilized to achieve the dynamic force balance. The flexibility of the dynamic PLT method is demonstrated by the application to a well-studied granitic rock-Laurentian granite. The correlation between the dynamic PLS and the dynamic strength of the same rock is established.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".