Why is there a discrepancy in shear wave velocity – cone tip resistance (<i>V</i><sub>s</sub>–<i>q</i><sub>c</sub>) correlations’ trends with respect to grain size?
Bibliographic record
Abstract
Although many regression equations of cone penetration test tip resistance, q c -CPT, versus shear wave velocity, V s , are available in the literature resulting from a substantial research effort in this topic area, the outcome of these research efforts with respect to the influence of grain size on the V s –q c correlations is in fact inconclusive because some of the suggested relationships, in common use today, either utilize irrelevant parameters or they are rather crude approximations of the V s –q c trend over a wide range of grain sizes. A closer examination of this effect would be important for better assessment of the reliability and limitations of the proposed correlations. This note discusses the plausible reasons for the inconsistency in the existing V s –q c correlations with respect to grain size through a detailed comparison of two well-known discrepant correlations referring to comparable experimental and field data. This note then goes further in its contribution to the practice of geotechnics by providing some useful recommendations to be considered in the prospective construction of V s –q c correlations, especially when particle characteristics are taken into account.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".