Investigation of Thermal-Induced Strains in Flexible Pavements
Bibliographic record
Abstract
Thermal fatigue cracking occurs when the daily temperature cycles cause reoccurring tensile stress at the bottom of the Hot Mixed Asphalt (HMA) layer. Hence, daily temperature variations are considered to be a direct impact of environmental factors on flexible pavements. These stresses may not exceed the tensile strength of the asphalt but, when repeated over time, cyclic loading will cause occurrence of thermal cracks. Therefore, it is necessary to experimentally quantify the range of variation for thermal-induced strains in order to evaluate the impact of daily and seasonal temperature fluctuations on the thermal fatigue cracking. This paper attempts to investigate the thermal-induced strains in longitudinal, transverse, and vertical directions at the bottom of the HMA over the course of a one year monitoring period. This study was conducted at the Integrated Road Research Facility (IRRF)’s test road in Edmonton, Alberta, Canada, which is fully-equipped with structural and environmental monitoring instruments. Based on the results, noticeable variations for horizontal and vertical strains at the bottom of the HMA were found, especially during the thaw season. Additionally, a consistent relationship is established between thermal-induced transverse and horizontal strains
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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 | 0.001 |
| 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 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".