Eco-efficient preplaced recycled aggregate concrete incorporating recycled tyre waste
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This experimental study explores the development of highly eco-efficient concrete. This concrete incorporates 50% higher coarse aggregate content compared with normal concrete, thus reducing cement demand, and its granular skeleton is entirely recycled. Moreover, it adopts a unique energy-efficient placement technique whereby the granular skeleton is first preplaced in the form and then injected with a flowing grout, which considerably reduces the energy of mixing and placement. Various mixtures incorporating recycled concrete aggregate along with recycled rubber granules and steel wire fibres retrieved from scrap tyres were made. The mechanical strength and post-cracking behaviour of the eco-efficient concrete were evaluated. While tyre rubber decreased mechanical strength as expected, scrap tyre steel wire fibres enhanced the tensile and flexural behaviour, exhibiting superior energy absorption and ductility compared to the brittle failure of the control mixture. The results provide an insight into the level of recycled tyre rubber and steel wire that could be combined with recycled concrete aggregate to achieve durable and cost-effective eco-efficient preplaced recycled aggregate and rubberised concrete for sustainable non-structural applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 it