Use of lightweight aggregate to mitigate frost damage in flexible pavements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper investigates the use of lightweight aggregate (LWA) in hot mix asphalt and aggregate base and subbase layers as a strategy of reducing frost damage in pavements. The paper compares thermal conductivity, thermal diffusivity and specific heat capacity of LWA–asphalt mix with those of a conventional asphalt mix. Thermal properties were determined using the k-Alpha Tester developed at the University of New Brunswick. Test results showed that the LWA–asphalt mix has lower thermal conductivity and thermal diffusivity. The LWA–asphalt mix also showed higher specific heat capacity compared to a conventional mix. A finite element thermal response model was analysed to verify if the LWA–asphalt mix would in fact control frost penetration compared to a conventional asphalt mix. The findings showed that the use of LWA–asphalt surface course and a LWA base or subbase course in a pavement will completely eliminate frost penetration into the subgrade.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it