Seasonal Effects on Structural Performance of Alternative Road-Strengthening Systems in Saskatchewan, Canada
Bibliographic record
Abstract
Efficient rural road transport is a critical element of the Saskatchewan economy. Unfortunately, a significant portion of the Saskatchewan road network is experiencing increased rates of deterioration due to their service age, as well as increasing commercial transport pressures. This is particularly the case for the secondary road system. The Saskatchewan Ministry of Highways and Infrastructure has recently set the mandate to upgrade a significant portion of secondary road system to primary weight limit load carrying capacity. However, given the recent rising costs associated with conventional road strengthening systems and a reduction in available granular aggregate material, the Saskatchewan Ministry of Highways and Infrastructure has been investigating alternative road strengthening systems including granular overlays, cement stabilization, fiber stabilization, and ionic stabilization. This paper presents the results of a multi-year field study of the structural performance and seasonal effects across six different road strengthening systems constructed on both primary (Pavement A) and secondary (Pavement C) road grade structures. Based on the findings of this study, cementitious strengthening and conventional granular overlays with and without geogrid reinforcement have provided structural enhancement of both secondary and primary standard road grades. It was also confirmed that pavement structures constructed on Pavement A road grades perform significantly better structurally relative to secondary weight limit road grades. Ionic stabilization and flax straw fibers reinforced structures yield a low structural performance relative to the other test sections constructed. This study also demonstrated that seasonal climatic effects can decrease the structural integrity of road strengthening systems by up to 14 percent on Pavement A road grades and by up to 47 percent on Pavement C road grades.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".