Construction of a Jet-Grouted Backup Seepage Cut-Off Wall in the John Hart North Earthfill Dam
Bibliographic record
Abstract
To provide additional protection to a 70 year-old dam in case of a seismic event, the local utility company, BC Hydro, required the construction of a backup seepage cut-off wall in the right abutment of the John Hart North Earthfill Dam, using jet-grouting, a well-known technique that uses a high-velocity jet of grout mix at high pressure (300 to 500 bars) to erode and simultaneously mix cementitious grout with the soil in situ. The main challenge was the use of these high pressures during construction of the seepage cut-off wall in the dam fills and foundation soil while avoiding reservoir drawdown, to minimize the risk of hydro-fracturing or hydro-jacking in the embankment. The contractor carried out a field trial in a safe area with similar soil conditions and, with the utility, developed a jet-grouting procedure that minimized the risks. The paper describes the jet-grouting procedures, grout mix used, results of the field trial, and safety and environmental precautions implemented on site to reach successful completion.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".