Influence of polyethylene fiber and super plasticizer on the properties of fiber reinforced concrete
Bibliographic record
Abstract
This research concentrated on high strength Fiber Reinforced Concrete (FRC) with polyethylene fibers. Four different FRC mixtures having different dosage of superplasticizer and fiber contents were investigated for fresh state (flowability and temperature development/setting time), mechanical properties (compressive/flexural strength, modulus of elasticity and fracture energy), durability characteristics (rapid chloride permeability) and microstructure (using scanning electron microscopy ‘SEM’). All FRCS showed high strength development with low ductility (or strain hardening behavior). Increase of fiber content increased the tensile strength and fracture energy of FRCs. The SEM confirmed dense concrete matrix with stronger interfacial transition zone. No significant influence of superplasticizer (at the specified range of dosages) on the properties of FRCs was observed. The use shorter fiber compared to longer ones (18 mm used in this study) at lower dosages could improve ductility and flowability of the FRCs.
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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 | 0.001 |
| 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".