Green Concrete Made with RCA and FRP Scrap Aggregate: Fresh and Hardened Properties
Why this work is in the frame
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Bibliographic record
Abstract
Because global landfills are filling at a fast rate with waste that can potentially be recycled, it is now time for the development and implementation of sustainable materials in construction. This article investigates the properties of a new generation concrete containing fiber reinforced polymer (FRP), fiber scrap aggregate (FSA), and recycled concrete aggregate (RCA). Although previous research has been undertaken for the use of RCA in concrete, the use of FSA is a new research area and has been found in this study to have exciting potential. Through different replacements of these aggregates in the concrete, both individually and in combination, conclusive test results were produced. The results indicate that both the fresh and hardened RCA concrete properties were similar to those of the control concrete containing only natural aggregate. In the case of fresh properties, the RCA concrete experienced slightly lower slump than the control concrete. The FSA concrete had a lower compressive strength than the control concrete; however, it produced sufficient strength for nonstructural applications. The results determined for FSA and RCA concrete were better than expected and illustrate the potential for concretes be used for nonstructural and structural applications. The results found for the combination batches indicate that both their fresh and hardened properties produce values between the individual RCA and FSA concrete batches that were mixed and tested. The conclusions drawn from this research will hopefully encourage further development of new sustainable materials in the construction industry.
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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 | 0.001 |
| 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 it