Laboratory Mechanistic Characterization of Granular Base Stabilization Systems in Saskatchewan
Bibliographic record
Abstract
In 2006, Saskatchewan Ministry of Highways and Infrastructure constructed granular base stabilized field test sections to evaluate alternative recycling and strengthening rehabilitation systems for the Saskatchewan road network. The field test sections on Control Section (C.S.) 15-11 are comprised of cement base stabilization, cement with asphalt emulsion base stabilization, and a remixed and unstabilized base. This study demonstrated that the triaxial frequency sweep apparatus is a pragmatic tool to characterize fundamental mechanistic constitutive parameters of stabilized granular materials and their behaviour to actual applied field stresses and load frequencies. Conventional and mechanistic laboratory testing of all stabilized and unstabilized granular materials sampled from the C.S. 15-11 rehabilitation project was conducted. Both cement and cement with asphalt emulsion base stabilization systems improved conventional material strength test results including indirect tensile strength, California bearing ratio, and unconfined compressive strength results. Stabilization also significantly reduced moisture sensitivity of the granular base materials. Mechanistic laboratory testing was conducted using the triaxial frequency sweep apparatus and showed cement and cement-asphalt emulsion stabilization improved fundamental constitutive properties including dynamic modulus, Poisson’s ratio, phase angle, and radial strain of the in situ granular materials. Triaxial frequency sweep characterization quantifies material constitutive relations used for mechanistic road structural modeling and this enables the design engineer to characterize the primary structural responses of alternate structures across various traffic loadings and load frequencies under typical Saskatchewan field state conditions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".