Toward the use of high volume recycled concrete aggregate in new concrete production
Bibliographic record
Abstract
This thesis reports the findings of a study carried out to determine the feasibility of using Recycled Concrete Aggregate (RCA) in the production of newly made concrete at high replacement levels of conventional coarse Virgin Aggregates (VA). The study evaluated the properties of new concrete produced with coarse RCA, in order to address the issues typically associated with the characteristics of the recycled material. Concrete specimens were tested for fresh properties, hardened properties, as well as overall durability of mixes. Making minor modifications in mix design, the drawbacks typically associated with the use of RCA were successfully mitigated at high replacement levels, making up to a full 100% replacement feasible. Through the use of higher replacement levels of RCA in the production of concrete, the environmental impacts of VA harvesting may be significantly reduced, as well as providing a more economical means of waste concrete disposal for ready mix producers.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".