Development and verification of a miniature cone penetration test
Bibliographic record
Abstract
The objectives of this research were to design and validate a miniature cone penetration test (MCPT) system for testing fine-grained soils. The system included a commercially-available miniature piezocone and a 300-mm-diameter, rigid-wall, calibration chamber. Three different materials were used in this study: (i) Ottawa sand, (ii) fine synthetic tailings (FST), and (iii) coal combustion product (CCP). Ottawa sand was used to evaluate repeatability of the MCPT apparatus and verify results via comparison to literature. The FST was a mixture of kaolin clay and silica flour, whereas CCP was primarily sand and silt and collected from a coal ash impoundment in North America. These two materials were tested to assess undrained and drained shear behavior and compare with previously measured shear strength. Replicate MCPTs conducted on Ottawa sand at three different relative densities indicated that the MCPT was repeatable. The assessment of tip resistance and sleeve friction in the Ottawa sand MCPTs were used to identify a functional depth of penetration whereby the friction sleeve was fully mobilized. Values of tip resistance and sleeve friction obtained from the MCPT at these depths of penetration were taken as representative of the specimen and subsequently validated via comparison to literature. Pore water pressure developed during cone penetration in the Ottawa sand and CCP were similar and indicative of drained conditions, whereas large, positive pore pressures in the FST were indicative of undrained conditions. The undrained shear strength estimated from MCPTs on FST (13 and 35 kPa) compared favorably and had a good agreement with undrained shear strength from triaxial tests. The effective stress friction angle for CCP based on MCPT (28.7° and 30.4°) yielded a conservative estimate relative to a previously determined effective friction angle via triaxial testing (36°).
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".