Laboratory evaluation of cracking resistance for asphalt mixtures modified with nanoclay and nanocellulose
Bibliographic record
Abstract
Cracking failure is one of the major distress modes associated with asphalt pavement. Asphalt modification has been identified as an effective method to improve pavement performance. In this study, nanomaterials including bentonite and halloysite nanoclays and nanocellulose are added to PG 64-28 straight run asphalt binder for modification. The potential of these nanomaterials for improving the cracking performance of asphalt pavements at intermediate pavement service temperatures is investigated. Rheological evaluation is conducted using a dynamic shear rheometer (DSR), and the cracking resistance of the asphalt mixtures is determined through indirect tension asphalt cracking test (IDEAL-CT). A high-shear mixer is used to disperse the nanomaterial in the asphalt and the field emission scanning electron microscope (FESEM) analysis shows a relatively good dispersion of the nanomaterials. Furthermore, the results of the IDEAL-CT show an improvement in cracking test index by as much as 47%–114% through nanomaterial modification.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".