Investigation of asphalt creep compliance at low temperatures using thin beam specimens
Bibliographic record
Abstract
As a result of severe temperature drops in the northern USA and Canada transverse cracks develop at almost regular intervals that decrease ride quality and allow water to infiltrate and further damage the pavement. The current AASHTO specification is based on Indirect Tension (IDT) tests performed on relatively thick cylindrical specimens that limit the use of this test with field cores from thin layers or construction lifts. Furthermore, thick specimens do not enable the investigation of the gradual aging that occurs in asphalt layers as a result of oxidation and volatilization. The use of the Bending Beam Rheometer (BBR), as part of the bitumen PG system, was investigated with thin asphalt beams to determine the low-temperature creep compliance of the asphalts. Twenty different asphalts were tested at three temperature levels using both the IDT and the BBR instruments. Gyratory specimens were first cut into IDT specimen. The specimens were tested in the IDT and then thin beams were cut using a tile saw and were tested in the BBR. The analysis of the experimental results indicates that testing thin asphalt beams can be used for low-temperature characterization but several factors need closer investigation. For the covering abstract see ITRD E157233
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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 | 0.000 |
| 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) | 0.001 | 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".