Drilled Shaft O-Cell Response at Golden Ears Bridge from Seismic Piezocone Tests
Bibliographic record
Abstract
The response of deep foundations under vertical loading is classically evaluated using a combination of limit plasticity and static equilibrium solutions for bearing capacity and elastic continuum solutions for displacements. Here, in-situ geotechnical test data are first processed to provide determinations of soil engineering parameters (γt, OCR, σp' Ko, su, φ', E, v) that are then input into the theoretical equations. Alternatively, the foundations can be assessed via direct methods, whereby the results of in-situ tests are scaled to produce response curves. A review of direct methods and several indirect CPT interpretations is presented using a case study from the response of a large deep drilled shaft at the newly constructed Golden Ears Bridge over the Fraser River in Vancouver, British Columbia, which was subjected to a staged Osterberg load testing sequence. Interpreted geotechnical parameters are obtained from a 100-m deep seismic piezocone sounding that provided four separate readings with depth (qt, fs, u2, and Vs).
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".