Indentation Test Implementation for Rock Strength Correlation by Experimental Method and Simulation Using Distinct Element Method
Bibliographic record
Abstract
Abstract Rock strength is an important parameter for the drilling penetration estimation, which is usually determined through standard destructive strength tests, which are known to be sophisticated, expensive, and time-consuming. In addition, the accuracy of these tests has a high standard on the rock sample dimension. As a non-conventional method, the rock indentation test is reviewed and conducted in this study to solve these problems. The sample preparation and test method of the rock indentation test are validated to standardize the test. Based on the stress-strain behavior of the test samples, the correlation between the rock indentation hardness index (IHI) and the rock UCS strength is developed based on different lithology. Then the rock indentation test is simulated in the distinct element method (DEM) in PFC2D software. The robustness of the DEM simulation is validated, and the sample failure pattern is studied. The significance of the process is that it very closely matches with the process a rock fails under the cones of a roller cone drilling bit penetrating the rock.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".