A Critical Review of Mechanical, Physical and Durability Properties of Slurry Infiltrated Fibrous Concrete (SIFCON)
Bibliographic record
Abstract
The recent development of slurry infiltrated fibrous concrete (SIFCON) was discussed in this paper.The amount of fibers usually does not exceed 20% of the total concrete volume.SIFCON is of specific benefits in civil engineering owing to its excellent mechanical properties such as high compressive strength, high strain during compression, and good ductility.SIFCONs prepared using cement as a binder alone or by adding pozzolanic materials, such as silica or silica and alumina, were explored.The materials have a high degree of fineness (high surface area), and in the presence of water, they react chemically with calcium hydroxide at normal temperatures to form compounds, such as fly ash, slag, silica fume, and metakaolin, with cementitious properties.The effects of different types of fiber and their geometric shape, whether straight, hooked-ends, or other shapes, on the mechanical properties of SIFCON were reviewed.The properties of SIFCON, such as compressive strength, splitting strength, flexural strength, impact resistance, abrasion resistance, and water absorption, were discussed on the basis of important mechanical tests.The results of non-destructive tests, such as pulse transmission velocity test and rebound number by Schmidt hammer, were deliberated.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".