Characterization of Bituminous-Sealants Utilizing Modified Bending Beam Rheometer
Bibliographic record
Abstract
Early research showed that the current specification for the selection of crack sealants correlates poorly with field performance. To address this issue and help predict the low temperature properties of hot-poured bituminous sealants, a modified Bending Beam Rheometer (BBR) method is utilized. Eight sealants, with a wide range of rheological behaviors, were tested between -4 and -40°C. When the time-temperature superposition principle was used, the stiffness after 240s at a temperature T was equivalent to the stiffness after 5h of creep loading at a temperature of T+10°C. The results indicate that the stiffness of hot-poured sealant at 240s help predict low temperature behavior. In addition, the rate of stiffness change in a log-log scale (m-value) can be used to assess stress relaxation. Two additional parameters are thought toprovide a useful indication of the sealant performance at low temperature: steady-state creep rate, obtained after a 240s loading; and the average creep rate, based on deflection measurements over the 240s.
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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".