Incorporation of Sugarcane Bagasse Fiber on Concrete and Its Effect on Physical and Mechanical Properties
Bibliographic record
Abstract
In the following investigation, concrete specimens incorporated with sugarcane bagasse fibers (SCBF) were manufactured to analyze their effects on their physical and mechanical properties.The fibers were collected from the waste generated by the sugar factories in the La Libertad region, Peru.SCBF were incorporated in different concentrations (0.5, 1, 1.5 and 2%) in the concrete mixing process.The effect of the incorporation of SCBF on the density and water absorption of the manufactured specimens were evaluated, also morphological variations were analyzed by Scanning Electron Microscopy (SEM).Likewise, the specimens were subjected to compression tests to verify their resistance.A good integration of the fibers in the concrete matrix was observed, the incorporation of SCBF produces a reduction in the number and size of pores.In addition, the increase in SCBF lightens the concrete, increasing the water absorption capacity.Mechanical tests show that the compressive strength increases with the incorporation of SCBF, reaching a maximum value using 0.5% fiber after 28 days of curing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".