Study of warm mix asphalt using reclaimed asphalt pavement and copper slag: a review
Bibliographic record
Abstract
The incorporation of copper slag (CS) in asphalt pavements proves to be a good substitute in replacing the natural aggregates. This reduces pavement construction cost and plays a key role in protecting the environment. The CS can be used with recycled asphalt pavement (RAP) material especially in warm mix asphalt pavements. The use of RAP not only leads to environmental benefits but also considerably saves natural resources and decreases the requirement to use virgin bitumen. The use of CS in pavement construction sector eliminates the disposal as well as leaching problems associated with it. This paper focuses on the review of studies carried out on the use of CS along with RAP in road construction. It presents and discusses the work done on the use of CS in the pavement construction sector and the use of RAP in providing the necessary stiffening effect to the asphalt pavements. It analyzes the requirement and advantage of using CS with RAP in asphalt pavements in light of previous research findings and its influence on various engineering properties in pavements. This paper also reviews the work done to study the environmental impact of using CS in asphalt mixes.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".