Incorporating Recycled Concrete Aggregate in Pervious Concrete Pavements
Bibliographic record
Abstract
The effectiveness of pervious concrete for use in the Canadian climate is currently being evaluated. Virgin aggregate sources within Canada are limited and other sources need to be evaluated for use, such as Recycled Concrete Aggregate (RCA). Recycling concrete from curbs and gutters, sidewalks and parking lots reduces the amount of concrete being put into landfills. Using RCA in new concrete has multiple advantages to the environment namely, reducing dumping at landfill sites, reducing gravel mining and reducing hauling of virgin aggregate and therefore reducing emissions. The purpose of this research was to incorporate RCA into pervious concrete to create a very sustainable concrete product for paving. The research methodology involved substituting the coarse aggregate in the pervious concrete mix design with 15 percent, 30 percent, 50 percent and 100 percent RCA. Cylinders were cast in the laboratory for each percentage of RCA and also a control pervious concrete mix design containing only virgin aggregate. Each of the concrete batches that were mixed was tested for slump, temperature, entrained air, and unit weight. The testing was done to determine whether the batches were consistent and within the recommended limits specified. The testing showed that pervious concrete with an optimum RCA content has strengths, voids and permeability comparable to that of pervious concrete containing only virgin aggregate.
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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 | 0.000 | 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".