Evaluation of premature failures of open-graded friction course pavements in Alabama
Bibliographic record
Abstract
Open-graded friction courses (OGFC) are special purpose thin surface mixtures used to reduce the risk of hydroplaning, wet skidding, splash and spray, pavement noise, and improve night and wet weather visibility of the pavement markings. The problems hindering the widespread use of OGFC are raveling, bleeding, potholes, and relatively short performance life. As, a prelude to a larger research project to improve durability of OGFC pavement, the performance of five OGFC pavements situated in the state of Alabama, located in the southeastern region of United States, was assessed in detail. The scope of the research involved both field work and lab investigations. Field work involved a field distress survey and coring on the selected projects for forensic investigation. Laboratory investigations included indirect tensile (IDT) strength, air voids, gradation and percentage asphalt content of the extracted cores. X-ray images of the cores were used to analyze the variation of air voids along the depth of OGFC pavement. An analysis of variance test on air void and IDT showed that these parameters can be significant in determining the cause of failure in early ages of the OGFC pavement. The trend of higher IDT values and less air voids in good performing portions as compared to bad performing portions was observed. IDT can be considered as criteria for performance evaluation of OGFC pavements. Granite aggregate appears to be better in resistance against degradation than slag and sandstone. The analysis of air voids along the depth of OGFC projects showed insufficient rate of tack coat or asphalt drain down as important factor leading to bad performance.
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 | 0.001 | 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".