Field and laboratory permeability of asphalt concrete pavements
Bibliographic record
Abstract
Hot mix asphalt pavements that have been poorly designed, compacted, and (or) constructed have higher chances of experiencing moisture-related damage. This research evaluates the interrelationship between field–laboratory permeability and other mechanical and physical pavement characteristics. Eight sites in Eastern Ontario were selected for evaluating the pavement’s field permeability and core extraction. Laboratory specimens of the same mixes studied in the field were prepared using the Superpave gyratory compactor (SGC). The relative density (RD), lab permeability, and indirect tensile strength (IDT) tests were performed on the field-recovered cores and SGC specimens. Permeability, RD, and IDT were found to be related such that as RD and (or) IDT decreases, the permeability increases exponentially. The strength of these relationships varied for the three test settings (SGC, field-recovered cores, and field measurements). The coefficients of field permeability and laboratory permeability using field-recovered cores were statistically different, with a fair relationship between these two test settings.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".