Pipeline Construction through Sensitive Glaciomarine Clay
Bibliographic record
Abstract
During the construction of Coastal GasLink (CGL) through the town of Kitimat, BC, the Project encountered sensitive glaciomarine clay (GMC) that extended up to 40 m in depth along the pipeline right-of-way. While sheet piling is a common solution utilized to stabilize otherwise unstable trench wall conditions, cantilever sheet piles rely on competent soil at depth for toe resistance which provides the lateral support required for safe trench excavation. Due to the significant depth of the GMC, the lack of toe resistance severely limited the capacity of any installed sheets regardless of the steel section utilized. Reinforcing the entire length of cantilever sheet pile wall (SPW) trench with structural cross-bracing was not a suitable alternative for the soft GMC area due to interference with pipe installation sequences and project schedule implications. To meet regulatory pipeline installation requirements and successfully construct through this sensitive area, the Project utilized a combination of shallow trench and soil mounding construction to successfully install the pipeline, minimizing the need for cross trench bracing to short sections only at watercourse crossings, where the pipe had to be deeper. A robust field monitoring program was also implemented to ensure that construction was completed within the predicted bounds of a finite element soil model, which was calibrated with deflection limits that considered the sensitive nature of the GMC.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".