Grouting and Jet Grouting for Soil and Rock Impermeabilization under Extreme Conditions at the Diavik Diamond Mine’s A21 Project: The Point of View of the Contractor
Bibliographic record
Abstract
A new dike will be constructed around the fourth kimberlite pipe, named A21, of the Diavik Diamond Mine in the Canadian North West Territories. In August 2015 BAUER Foundations Canada, a subsidiary of BAUER Spezialtiefbau GmbH, based in Schrobenhausen, Germany, received a major contract with a value of around 65 million euros to create a cut-off wall for the Diavik Diamond Mine in Canada. Jet grouting and permeation grouting with cement based grouts will be carried out to form part of the water tightening core structure of the dike. This paper describes the permeation grouting techniques as well as the approach that will be used for the jet grouting for the sealing of the soil layers underneath the cut-off wall (Bauer CSM) and of the weathered rock zone, down to the partially fissured bedrock. Almost 70% of the grouting works have been completed within the end of 2016. The jet grouting site tests for season one have been completed in October 2016. Some aspects related to design and methods, the lessons learnt as well as the main challenges the have been faced within season one of the works (December 2016) are described into this paper.
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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 | 0.002 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".