Properties of Lightweight Self-consolidating Fibre Reinforced Concrete
Bibliographic record
Abstract
This paper presents the influence of four different types of fibres such as Polyethylene (PE), Polyvinyl Alcohol (PVA), High-Density Polyethylene (HDPE) and Crumb Rubber on various properties of lightweight self-consolidating fibre reinforced concrete (LWSCFRC).The influences of fibre types and dosages were evaluated based on slump flow, density, compressive/flexural strength and rapid chloride permeability characteristics.All concrete mixtures satisfied the criteria to be classified as structural LWSCC by exhibiting a slump flow and 28-day compressive strength of more than 500 mm and 17.8 MPa, respectively with a 28-day air dry density of less than 1840 kg/m 3 .The compressive strength and slump flow of LWFRSCC mixtures decreased with the increase of fibre dosage.The good performance of LWSCFRC mixtures were reflected in terms of their lower compressive strength to flexural strength ratio, higher energy absorbing/toughness capacity and similar/better chloride permeability compared to their LWSCC counterpart (without fibre).
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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".