Experimental Investigation Of Mechanical Performance Of Rubberized Fiber Reinforced Concrete Made Of Recycled Plastics
Bibliographic record
Abstract
This paper investigates the mechanical properties of rubberized fiber-reinforced concrete (RuFRC) incorporating synthetic macro-structural fibers made of recycled plastics and waste tyre rubber shreds.The effects of different percentages of fiber doses 0%, 0.25%, 0.5% and 1% on the compressive, tensile and flexural strength of RuFRC are examined.In addition, tyre rubber shreds are used to replace coarse aggregate by 10%, 20% and 30% by volume.It is found that the mechanical properties of RuFRC are significantly affected due to the variation of the fiber doses and rubber percentages.While the inclusion of fiber and rubber together decreases the compressive strength of concrete, the tensile strength of concrete is found to increase significantly.
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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".