Assessment of helical pile performance in lacustrine clay and glacial till deposits: a load testing study in Winnipeg, Manitoba
Bibliographic record
Abstract
This comprehensive research seeks to validate the application of helical piles in the distinctive geological and construction landscape of Winnipeg. The region's geological complexity, characterized by glaciolacustrine soils, glacial till deposits, and variable bedrock conditions, necessitates the development of innovative foundation solutions. This research delves into helical pile design and highlights the importance of static load testing as a reliable method for assessing and validating their performance. Furthermore, it specifically addresses the need for localized data on helical pile load-bearing capacities under unique soil conditions in Winnipeg. The exploration of capacity predictions, load testing results, and their implications for practical applications underscores the research's contribution to validating the use of helical piles in Winnipeg's geological context. In conclusion, this study emphasizes the significance of evidence-based decision-making and the continuous research which is necessary to adapt helical piles to Winnipeg's geological complexities, ultimately validating their effectiveness as a foundation solution for the region.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".