Rheology and surface free energy of modified asphalt binder containing anti-stripping additives
Bibliographic record
Abstract
Since 2008, the number of roads in Canada has been going up due to rapid urbanization and economic growth, and by 2020, there is more than 1.08 million kilometres of roads across the country. Around 90% of roads managed in Canada are paved with asphalt materials. During the service life, asphalt pavement experiences various surface distresses due to aging, the effect of environmental factors, and traffic loading. A way to mitigate the early deterioration of asphalt pavement is to blend suitable modifiers and additives with asphalt binders during asphalt mixture production. The current study aims to understand the relative effect of different liquid antistripping additives on the rheological and fundamental properties of styrene butadiene styrene (SBS)- and Gilsonite-modified binders (4 and10% by the weight of base binder, respectively) containing various percentages of anti-stripping additives in short-term aging conditions. Four different anti-stripping additives: ZycoTherm SP2 (0.05%, 0.075%, and 0.1%), Kling Beta 2914 (0.5%, 0.75%, and 1%), Pave Bond Lite (0.5%, 0.75%, and 1%), and AD-Here (0.5%, 0.75%, and 1%) were selected for this study. To attain our research goal, anti-stripping additives were blended to SBS and Gilsonite modified PG 58-28 binder. Later, all binders were aged using Rolling Thin Film Oven (RTFO) protocol. This thesis summarizes the results of rheological behaviour by considering the rutting and cracking parameters, such as the Superpave rutting parameter, Shenoy’s rutting parameter, non-recoverable creep compliance, and Glover-Rowe parameter. Additionally, this study considered using the Surface Free Energy (SFE) as a fundamental material property to evaluate the cohesive bond strength of the Gilsonite-modified asphalt binders. The results show that anti-stripping additives significantly affect the binders’ rheological behavior and fundamental properties, which can influence the overall performance of the asphalt binder. Furthermore, the comparative analysis showed that Gilsonite-modified binders containing liquid anti-stripping additives enhance the moisture damage, rutting and cracking resistance of asphalt binders.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".