Use of Launched Soil Nails to Stabilize Shallow Slope Failure on Urban Access Road 172
Bibliographic record
Abstract
In the transportation industry there are many methods of slope and embankment stabilization. Traditional soil nailing is one such method, which employs inserting nails into pre-drilled holes, then grouting them into place. A variant of this procedure, Launched Soil Nails (LSN), uses compressed air to accelerate a 6 m long 40 mm diameter steel nail or rod into the ground at over 350 km/hr. Research has indicated that at this high velocity a shock wave is generated ahead of the nails that elastically deforms the soil which subsequently rebounds and bonds to the nails (i). LSN was used on an Alberta Transportation (AT) project site near the village of New Sarepta about 40 km southeast of Edmonton on Urban Approach Road 172. The failed area was a shallow slope failure approximately 130 m2 in size. The LSN solution was ideal for site specific considerations such as a nearby high pressure oil pipeline, fibre optic cables crossing the failed area, 1200 mm diameter culvert immediately beneath the failed area, high road fill, and limited access. LSN is not a broad replacement for traditional methods of slope stabilization. However, in cases where slope failures can be compared, LSN has its advantages over traditional methods of slope stabilization. LSN reduces cost, saves time, reduces public disruptions, reduces environmental concerns, and is a flexible and viable option for stabilizing slopes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".