Time–Temperature Superposition and AASHTO MP1a Critical Temperature for Low-temperature Cracking
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Bibliographic record
Abstract
Thermal stress calculations performed as part of the AASHTO MP1a low-temperature criterion are based on stiffness master curves generated from test data obtained at two temperatures. The time–temperature superposition (TTS) principle is considered valid although no verification of the validity has been reported so far. This paper addresses this issue by comparing the master curves obtained from 4-min creep tests performed at two test temperatures with data obtained in a 2.5-h creep test. Due to the presence of physical hardening a limited analysis is conducted to quantify the effects of physical hardening on the calculation of the critical temperature, T CR. Two methods for calculating T CR are investigated: the Dual Instrument Method and the Single Asymptote Procedure. The analysis indicates that T CR is not sensitive to small deviations from TTS validity. However, T CR as well as the limiting temperatures from Bending beam rheometer stiffness and m-value and Direct tension failure strain are considerably affected by physical hardening.
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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 it