Effect of laboratory aging on the performance of asphalt mixture containing high RAP content with the rejuvenator-loaded fiber
Bibliographic record
Abstract
This study investigates the performance of recycled asphalt mixtures containing 50 % reclaimed asphalt pavement (RAP), focusing on the impact of rejuvenator-loaded fibers under various aging conditions: short-term aging (STA) and long-term aging at four (LTA4) and seven (LTA7) days. The mixtures were compared to a standard virgin AB16 asphalt mixture and an AB16 mixture with 50 % RAP rejuvenated with a soft binder. The evaluation included water sensitivity tests, studded tire abrasion tests, dynamic modulus tests, and indirect tensile fatigue tests. Finally, an Environmental Scanning Electron Microscope (ESEM) was utilized to analyze the distribution and action mechanisms of rejuvenator-loaded fibers within the asphalt mixture. Research results showed that aging improved indirect tensile strength (ITS) and dynamic modulus across asphalt mixtures. Rejuvenator-loaded fibers could enhance ITS values, stabilize the indirect tensile strength ratio (ITSR), and improve structural strength. Analysis of the fracture surface morphology revealed that these fibers were well dispersed and exhibited significant bridging effects within the mixture. However, these fibers reduced abrasion resistance over time. While initially beneficial, their effectiveness in prolonging fatigue life declined with extended aging, though they still mitigated deterioration under high stress. • The impact of rejuvenator-loaded fibers on the aging dynamics and mechanical properties of asphalt mixtures was studied. • Extended aging's influence on abrasion resistance and durability of fiber-enhanced mixtures was analyzed. • The study underscored the transient benefits and long-term limitations of rejuvenator fibers in recycled asphalt mixtures.
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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 | 0.001 | 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".