Correlation of SPT-N & CPT Parameters of Dhaka Soil
Bibliographic record
Abstract
Standard Penetration Test (SPT) is a very common in-situ test all over the world for its simplicity.Whereas Cone Penetration Test (CPT) is recently getting popular for its better accuracy.Both these tests are necessary for the study of stratigraphy of soil and to find out the important geotechnical properties of subsurface soil.Many empirical studies have been conducted based on the correlations between the parameters of these two in-situ tests.Dhaka soil, which has been considered in this study, is found to be mostly sandy with a mixture of silt and clay.Considering the sleeve friction, cone penetration resistance from CPT and N-value from SPT, the n-ratio for Dhaka soil has been found in this study for four categories of soil along with sand and was compared with those from other studies.Multiple Linear Regression (MLR) Analysis with MATLAB has been used for the N-value prediction by generating multi-linear equations predicting N value for the four soil types.It is expected that the results will provide much better correlations on the addition of fine content as the study soil was mostly sandy.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".