Shear wave velocity estimation from piezocone test data for eastern Canada sands (Quebec and Ontario) - extended version with appendices
Bibliographic record
Abstract
Different relations between shear wave velocity and parameters obtained from seismic cone penetration tests are evaluated against a data set collected at 107 sites along the St. Lawrence River Valley in Eastern Canada. Only sands or sand-like soils with a normalized SBT index Ic less than 2.60 and a normalized porewater pressure ratio Bq less than 0.10 are considered in this study. All investigated soils are approximately 7,000-12,000 years old and are of a marine, mainly deltaic, origin. Correlations established for Holocene sands systematically under-predict shear wave velocities determined for the tested soils while the opposite is observed for correlation developed for Pleistocene sands. Non-linear regressions and residual analyses conducted for the tested soils indicate that the best prediction model has a functional form incorporating the cone tip resistance, the sleeve friction resistance, and the effective vertical overburden stress. A good correlation is also obtained with only the cone tip resistance and depth. As a result, two new equations are presented specifically for sands in the St. Lawrence River Lowlands which allow for an estimation of shear wave velocity based on piezocone test data. This open-file report is an extended version of a paper presented at the 69th Canadian Geotechnical Conference in Vancouver (Perret et al., 2016).
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) | 0.005 | 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".