Strength and Permeability of a Deep Soil Bentonite Slurry Wall
Bibliographic record
Abstract
In 2006, a Soil Bentonite (SB) slurry wall was constructed at a brownfield redevelopment of a former steel mill site in Mayfield, NSW Australia. At this site, the slurry wall is designed to block groundwater flow that might contribute to the contamination of an adjacent waterway, the Hunter River. The wall was approximately 1500 m long and up to 49 m deep, constituting an apparent depth record for walls of this type. As a part of the construction QC, there was an extensive amount of testing done, including an unusual amount of in situ strength testing using both a static cone penetrometer and field vane shear measurements. These latter measurements offer a unique opportunity to determine the strength gain of SB backfill material. Results show a moderate stiffening of the SB material after it has been in the trench. This is consistent with field observations which show that, while SB backfill is placed in a semi-fluid condition, after some weeks it can be excavated with a vertical face. Results also show that the wall does not achieve a full static state of stress over its full depth. Rather, as the material "sets", arching occurs, in effect holding some of the weight of the backfill on the sides of the trench. Extensive permeability testing of field-mixed SB backfill samples also provides a basis for design of future walls. In an earlier design mix program, a good correlation between percentage of fines and reduced permeability was established. It is clear that the fines content must be at a certain minimum to achieve stability in the backfill and to permit the blending of a low permeability backfill mix. Data are also presented showing the effects of permeation over an unusually long test period with contaminated groundwater.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".