A NUMERICAL STUDY OF CHAMBER SIZE AND BOUNDARY EFFECTS ON CPT TIP RESISTANCE IN NC SAND
Bibliographic record
Abstract
A numerical modeling procedure was used to quantify calibration chamber size and boundary e ects for cone penetration testing in sand. In the numerical analyses, chamber diameter and boundary conditions were varied to investigate the e ects of chamber size and boundary conditions on cone tip resistance. These analyses show that, for loose sand, a chamber-tocone diameter ratio of 33 is sucient for the boundaries to have no in uence on the cone tip measurements. However, for very dense sand, the numerical analyses show that the chamberto- cone diameter ratio should be more than 100 to ensure that boundaries have no in uence on cone tip measurements. Numerical analysis indicates that, not only the sand relative density but its stress state is also a signi cant factor in in uencing the chamber size e ects. The results of the numerical analyses were compared to existing empirically based relationships. Suggestions are provided to reduce the e ects of chamber size and boundaries on cone tip resistance measurements in sand.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".