Assessment of Pipeline Installation Using the Eliminator: a New Guided Boring Machine
Bibliographic record
Abstract
The Eliminator is a new guided boring machine developed to address the market need for Pilot Tube Microtunneling (PTMT) installations in non-displaceable soils. This study is part of a multi-phase research project sponsored by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the City of Edmonton. The main objectives of this research is to investigate the productivity of the Eliminator, risks associated with this machine, and methods to predict the required jacking force for installation of pipes. To achieve these goals, firstly a broad literature review was conducted on PTMT and the Eliminator as well as similar technologies such as microtunneling and pipe jacking. The study then introduces the first pipeline installation project performed with the Eliminator and assesses the technology’s economic performance using the project’s productivity and risk measures. The jacking force of the project was also monitored for analysis using hydraulic pressure transducers. Five existing jacking force prediction models used for technologies similar to the Eliminator were analyzed and compared with each force measured in the field. Based on the comparison, appropriate methods for estimating the jacking force of Eliminator projects are suggested.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".