Temperature Monitoring and Compressibility Measurement of a Tire Shred Embankment: Winnipeg, Manitoba, Canada
Bibliographic record
Abstract
Lightweight fill, used to replace granular fill on a weak subgrade, is of particular interest to road construction. Scrap tires benefit from their lightweight and thermal insulation properties and hydraulic conductivity. Road construction with scrap tires provides a means of disposing of the tires and helps reduce the instability of construction over soft and frost-susceptible soils. However, most research has been focused on using 150-mm or smaller shreds as a lightweight fill in road construction, and there is a lack of technical data on the use of large-size shredded rubber tires. A large-size tire shred embankment, constructed to provide access to a gravel pit near the city of Winnipeg, Manitoba, Canada, is described. The thermal and mechanical behavior of large-size tire shreds is examined by conducting field temperature monitoring and laboratory and field compressibility testing. The thermal behavior of the tire shreds, established from on-site automated temperature measurements, has shown the thermal coefficient of the tires to be 0.2832 W/m·°C. In the compressibility analysis, three sizes of shred (300 mm, 150 mm, and 50 mm) are examined. The elastic modulus of the shredded tires is determined as a function of the bulk density of tires. A model is used to predict and verify the compressibility of the tire shred embankment based on the laboratory testing of tire compressibility.
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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 | 0.002 | 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 | 0.001 |
| 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".